t8code August release

.github/workflows/test.yml

@@ -59,44 +59,44 @@ jobs:
         t8code_version:
           - '4.0.0'
         t8code_snapshot:
-          - '26.07'
+          - '26.08'
         include:
         - julia-version: '1.10'
           julia-arch: 'default'
           os: macos-latest
           mpi-provider: JLL_MPI
           t8code_version: '4.0.0'
-          t8code_snapshot: '26.07'
+          t8code_snapshot: '26.08'
         - julia-version: '1'
           julia-arch: 'default'
           os: macos-latest
           mpi-provider: JLL_MPI
           t8code_version: '4.0.0'
-          t8code_snapshot: '26.07'
+          t8code_snapshot: '26.08'
         - julia-version: 'nightly'
           julia-arch: 'default'
           os: macos-latest
           mpi-provider: JLL_MPI
           t8code_version: '4.0.0'
-          t8code_snapshot: '26.07'
+          t8code_snapshot: '26.08'
         - julia-version: '1.10'
           julia-arch: 'x64'
           os: ubuntu-latest
           mpi-provider: SYSTEM_MPI
           t8code_version: '4.0.0'
-          t8code_snapshot: '26.07'
+          t8code_snapshot: '26.08'
         - julia-version: '1'
           julia-arch: 'x64'
           os: ubuntu-latest
           mpi-provider: SYSTEM_MPI
           t8code_version: '4.0.0'
-          t8code_snapshot: '26.07'
+          t8code_snapshot: '26.08'
         - julia-version: 'nightly'
           julia-arch: 'x64'
           os: ubuntu-latest
           mpi-provider: SYSTEM_MPI
           t8code_version: '4.0.0'
-          t8code_snapshot: '26.07'
+          t8code_snapshot: '26.08'
     steps:
       - name: Checkout repository
         uses: actions/checkout@v7

Project.toml

@@ -1,7 +1,7 @@
 name = "T8code"
 uuid = "d0cc0030-9a40-4274-8435-baadcfd54fa1"
 authors = ["Johannes Markert <johannes.markert@dlr.de>"]
-version = "0.9.3"
+version = "0.10.0-DEV"
 
 [deps]
 CEnum = "fa961155-64e5-5f13-b03f-caf6b980ea82"
@@ -22,4 +22,4 @@ Preferences = "1.2.1"
 Reexport = "0.2, 1.0"
 UUIDs = "1"
 julia = "1.10"
-t8code_jll = "=4.0.7"
+t8code_jll = "=4.0.8"

dev/Artifacts.toml

@@ -1,11 +1,11 @@
 [[t8code]]
 arch = "x86_64"
-git-tree-sha1 = "22c9c74032be408f80b485c3a7aee80dfe69b777"
+git-tree-sha1 = "db9d00b1eaecef9135b00cad5d6d498a16998b17"
 lazy = true
 libc = "glibc"
 mpi = "mpich"
 os = "linux"
 
     [[t8code.download]]
-    sha256 = "111c1ed11d8cced1b9a620630d270201b2a0a0a08d4e9fff14205bd758311b98"
-    url = "https://github.com/JuliaBinaryWrappers/t8code_jll.jl/releases/download/t8code-v4.0.7+0/t8code.v4.0.7.x86_64-linux-gnu-mpi+mpich.tar.gz"
+    sha256 = "cc76e7345a1f30673093970be94713d5fe43fb76e6acb01ea0237b5d148d0caf"
+    url = "https://github.com/JuliaBinaryWrappers/t8code_jll.jl/releases/download/t8code-v4.0.8+0/t8code.v4.0.8.x86_64-linux-gnu-mpi+mpich.tar.gz"

dev/generator.jl

@@ -18,18 +18,17 @@ options = load_options(joinpath(@__DIR__, "generator.toml"))
 args = get_default_args()  # Note you must call this function firstly and then append your own flags
 push!(args, "-I$include_dir")
 
+# Include all t8_*.h headers, except:
+# `t8_dtri_to_dtet.h`: redefines the triangle macros, types and functions to their
+# tetrahedron counterparts, so that the triangle implementation can be reused for
+# tetrahedra. Parsing it would turn the `t8_dtri_*` functions into mere aliases of
+# `t8_dtet_*`, even though both are separate symbols in `libt8`.
 filter_out = (x -> !startswith(basename(x), "t8_") ||
                        !endswith(basename(x), ".h") ||
-                       basename(x) == "t8_dtri_to_dtet.h")  # this header contains redefinitions which seem harmful
+                       basename(x) == "t8_dtri_to_dtet.h")
 
 headers = detect_headers(include_dir, args, Dict(), filter_out)
 
-# `t8_dtri_to_dtet.h` redefines the triangle macros, types and functions to their
-# tetrahedron counterparts, so that the triangle implementation can be reused for
-# tetrahedra. Parsing it would turn the `t8_dtri_*` functions into mere aliases of
-# `t8_dtet_*`, even though both are separate symbols in `libt8`.
-filter!(h -> basename(h) != "t8_dtri_to_dtet.h", headers)
-
 # create context
 ctx = create_context(headers, args, options)
 

examples/t8_step1_coarsemesh.jl

@@ -34,7 +34,8 @@ function t8_step1_build_tetcube_coarse_mesh(comm)
     #   do_partition - If non-zero the cmesh will be partitioned among the processes. If 0 each process has a copy of the whole cmesh.
     #   periodic     - If non-zero the cube will have periodic boundaries. That is, i.e. the left face is connected to the right face.
 
-    cmesh = t8_cmesh_new_hypercube(T8_ECLASS_TET, comm, 0, 0, 0)
+    cmesh = t8_cmesh_new()
+    t8_cmesh_new_hypercube(Ref(cmesh), T8_ECLASS_TET, comm, 0, 0, 0)
 
     return cmesh
 end

examples/t8_step2_uniform_forest.jl

@@ -55,7 +55,8 @@ using T8code.Libt8: SC_LP_PRODUCTION
 # \return            The coarse mesh.
 function t8_step2_build_prismcube_coarse_mesh(comm)
     # Build a coarse mesh of 2 prism trees that form a cube.
-    cmesh = t8_cmesh_new_hypercube(T8_ECLASS_PRISM, comm, 0, 0, 0)
+    cmesh = t8_cmesh_new()
+    t8_cmesh_new_hypercube(Ref(cmesh), T8_ECLASS_PRISM, comm, 0, 0, 0)
 
     t8_global_productionf(" [step2] Constructed coarse mesh with 2 prism trees.\n")
 

examples/t8_step3_adapt_forest.jl

@@ -61,7 +61,8 @@ t8_global_productionf(" [step3] \n")
 ## Setup. Build cmesh and uniform forest.
 
 # Build a cube cmesh with tet, hex, and prism trees.
-cmesh = t8_cmesh_new_hypercube_hybrid(comm, 0, 0)
+cmesh = t8_cmesh_new()
+t8_cmesh_new_hypercube_hybrid(cmesh, comm, 0)
 t8_global_productionf(" [step3] Created coarse mesh.\n")
 forest = t8_forest_new_uniform(cmesh, t8_scheme_new_default(), level, 0, comm)
 

examples/t8_step4_partition_balance_ghost.jl

@@ -212,7 +212,8 @@ t8_global_productionf(" [step4] \n")
 t8_global_productionf(" [step4] Creating an adapted forest as in step3.\n")
 t8_global_productionf(" [step4] \n")
 # Build a cube cmesh with tet, hex, and prism trees.
-cmesh = t8_cmesh_new_hypercube_hybrid(comm, 0, 0)
+cmesh = t8_cmesh_new()
+t8_cmesh_new_hypercube_hybrid(cmesh, comm, 0)
 t8_global_productionf(" [step4] Created coarse mesh.\n")
 forest = t8_forest_new_uniform(cmesh, t8_scheme_new_default(), level, 0, comm)
 

examples/t8_step5_element_data.jl

@@ -58,7 +58,8 @@ struct t8_step5_data_per_element_t
 end
 
 function t8_step5_build_forest(comm, level)
-    cmesh = t8_cmesh_new_hypercube_hybrid(comm, 0, 0)
+    cmesh = t8_cmesh_new()
+    t8_cmesh_new_hypercube_hybrid(cmesh, comm, 0)
     scheme = t8_scheme_new_default()
 
     adapt_data = t8_step3_adapt_data_t((0.5, 0.5, 1.0),      # Midpoints of the sphere.

examples/t8_step6_stencil.jl

@@ -76,7 +76,8 @@ end
 # properties of the first ("root") forest and deallocates it. The final
 # adapted and committed forest is returned back to the calling scope.
 function t8_step6_build_forest(comm, dim, level)
-    cmesh = t8_cmesh_new_periodic(comm, dim)
+    cmesh = t8_cmesh_new()
+    t8_cmesh_new_periodic(cmesh, comm, dim)
 
     scheme = t8_scheme_new_default()