From ba7a8ca4b4819fe18d12ebc46ec68bbdfbbd2bfa Mon Sep 17 00:00:00 2001 From: Nick Ponomarev Date: Mon, 22 Jun 2026 15:21:55 +0300 Subject: [PATCH 01/11] Fix links in matrices.yaml --- matrices.yaml | 33 ++++++++++++++++----------------- 1 file changed, 16 insertions(+), 17 deletions(-) diff --git a/matrices.yaml b/matrices.yaml index df68757..7494eaf 100644 --- a/matrices.yaml +++ b/matrices.yaml @@ -50,8 +50,8 @@ - fsharp reorder: true link: https://suitesparse-collection-website.herokuapp.com/MM/DIMACS10/coAuthorsCiteseer.tar.gz -# SSSP - find 50K vertices matrix and test (Andrews_positive.mtx) -- name: Andrews_positive +# SSSP - find 50K vertices matrix and test (Andrews.mtx) +- name: Andrews enabled: true algorithm: sssp tools: @@ -60,8 +60,8 @@ - lagraph - fsharp reorder: false - link: https://sparse.tamu.edu/Andrews/Andrews -- name: Andrews_positive + link: https://suitesparse-collection-website.herokuapp.com/MM/Andrews/Andrews.tar.gz +- name: Andrews enabled: true algorithm: sssp tools: @@ -70,7 +70,7 @@ - lagraph - fsharp reorder: true - link: https://sparse.tamu.edu/Andrews/Andrews + link: https://suitesparse-collection-website.herokuapp.com/MM/Andrews/Andrews.tar.gz # TC - only small matrices # Small matrices ==> every algorithm for vine comparison - name: gr_30_30 @@ -83,7 +83,7 @@ - fsharp - vine reorder: false - link: https://sparse.tamu.edu/HB/gr_30_30 + link: https://suitesparse-collection-website.herokuapp.com/MM/HB/gr_30_30.tar.gz - name: gr_30_30 enabled: true algorithm: bfs @@ -94,7 +94,7 @@ - fsharp - vine reorder: true - link: https://sparse.tamu.edu/HB/gr_30_30 + link: https://suitesparse-collection-website.herokuapp.com/MM/HB/gr_30_30.tar.gz - name: Trefethen_2000 enabled: true algorithm: bfs @@ -105,7 +105,7 @@ - fsharp - vine reorder: false - link: https://sparse.tamu.edu/JGD_Trefethen/Trefethen_2000 + link: https://suitesparse-collection-website.herokuapp.com/MM/JGD_Trefethen/Trefethen_2000.tar.gz - name: Trefethen_2000 enabled: true algorithm: bfs @@ -116,7 +116,7 @@ - fsharp - vine reorder: true - link: https://sparse.tamu.edu/JGD_Trefethen/Trefethen_2000 + link: https://suitesparse-collection-website.herokuapp.com/MM/JGD_Trefethen/Trefethen_2000.tar.gz - name: gr_30_30 enabled: true algorithm: sssp @@ -127,7 +127,7 @@ - fsharp - vine reorder: false - link: https://sparse.tamu.edu/HB/gr_30_30 + link: https://suitesparse-collection-website.herokuapp.com/MM/HB/gr_30_30.tar.gz - name: gr_30_30 enabled: true algorithm: sssp @@ -138,7 +138,7 @@ - fsharp - vine reorder: true - link: https://sparse.tamu.edu/HB/gr_30_30 + link: https://suitesparse-collection-website.herokuapp.com/MM/HB/gr_30_30.tar.gz - name: Trefethen_2000 enabled: true algorithm: sssp @@ -149,7 +149,7 @@ - fsharp - vine reorder: false - link: https://sparse.tamu.edu/JGD_Trefethen/Trefethen_2000 + link: https://suitesparse-collection-website.herokuapp.com/MM/JGD_Trefethen/Trefethen_2000.tar.gz - name: Trefethen_2000 enabled: true algorithm: sssp @@ -160,7 +160,7 @@ - fsharp - vine reorder: true - link: https://sparse.tamu.edu/JGD_Trefethen/Trefethen_2000 + link: https://suitesparse-collection-website.herokuapp.com/MM/JGD_Trefethen/Trefethen_2000.tar.gz - name: gr_30_30 enabled: true algorithm: tc @@ -171,7 +171,7 @@ - fsharp - vine reorder: false - link: https://sparse.tamu.edu/HB/gr_30_30 + link: https://suitesparse-collection-website.herokuapp.com/MM/HB/gr_30_30.tar.gz - name: gr_30_30 enabled: true algorithm: tc @@ -182,7 +182,7 @@ - fsharp - vine reorder: true - link: https://sparse.tamu.edu/HB/gr_30_30 + link: https://suitesparse-collection-website.herokuapp.com/MM/HB/gr_30_30.tar.gz - name: Trefethen_2000 enabled: true algorithm: tc @@ -192,6 +192,5 @@ - lagraph - fsharp reorder: false - link: https://sparse.tamu.edu/JGD_Trefethen/Trefethen_2000 - + link: https://suitesparse-collection-website.herokuapp.com/MM/JGD_Trefethen/Trefethen_2000.tar.gz # Trefethen_2000 is not reordered for tc because it makes everything much worse From 9812fa5a8be8cbef66563d6e4b17f2c070aed97e Mon Sep 17 00:00:00 2001 From: Nick Ponomarev Date: Mon, 22 Jun 2026 15:23:44 +0300 Subject: [PATCH 02/11] Add unified interface with download command --- main.py | 25 ++++++++-- pyproject.toml | 1 + scripts/download_matrices.py | 92 ------------------------------------ src/__init__.py | 0 src/common.py | 36 ++++++++++++++ src/download.py | 60 +++++++++++++++++++++++ src/type_aliases.py | 27 +++++++++++ uv.lock | 16 +++++++ 8 files changed, 162 insertions(+), 95 deletions(-) delete mode 100644 scripts/download_matrices.py create mode 100644 src/__init__.py create mode 100644 src/common.py create mode 100644 src/download.py create mode 100644 src/type_aliases.py diff --git a/main.py b/main.py index 288bbe4..8fbadc1 100644 --- a/main.py +++ b/main.py @@ -1,6 +1,25 @@ -def main(): - print("Hello from graph-benchmarks!") +import logging + +import typer +from rich.logging import RichHandler + +from src.download import app as download_app + +app = typer.Typer() +app.add_typer(download_app) + +log_file_handler = logging.FileHandler("log.txt") + +FORMAT = "%(message)s" +logging.basicConfig( + level="NOTSET", + format=FORMAT, + datefmt="[%X]", + handlers=[RichHandler(), log_file_handler], +) + +log = logging.getLogger("rich") if __name__ == "__main__": - main() + app() diff --git a/pyproject.toml b/pyproject.toml index c5f1024..5a6d6b8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -5,6 +5,7 @@ description = "Add your description here" readme = "README.md" requires-python = ">=3.13" dependencies = [ + "dataclass-wizard[yaml]>=0.39.1", "ipykernel>=7.2.0", "matplotlib>=3.10.8", "pandas>=3.0.2", diff --git a/scripts/download_matrices.py b/scripts/download_matrices.py deleted file mode 100644 index a209794..0000000 --- a/scripts/download_matrices.py +++ /dev/null @@ -1,92 +0,0 @@ -from pathlib import Path -import shutil -from typing import Annotated - -import requests -import typer -import yaml - - -def get_matrices(path: Path) -> dict[str, str]: - with open(path, "r", encoding="utf-8") as m_file: - matrices = yaml.safe_load(m_file) - enabled_matrices = filter(lambda matrix: matrix["enabled"], matrices) - return dict( - map( - lambda matrix: ((matrix["name"], matrix["link"])), - enabled_matrices, - ) - ) - - -def download_matrix(tmp_path: Path, url: str) -> Path: - matrix = requests.get(url, allow_redirects=True) - filename = url.split("/")[-1] - full_path = tmp_path / filename - with open(full_path, "wb+") as f: - f.write(matrix.content) - return full_path - - -def unpack_matrix(matrix_archive_path: Path, matrices_path: Path) -> None: - shutil.unpack_archive(matrix_archive_path, matrix_archive_path.parent) - paths_to_copy = list( - Path(matrix_archive_path.parent).glob( - f"**/{matrix_archive_path.name.split('.')[0]}.mtx" - ) - ) - for path in paths_to_copy: - output = shutil.copy(path, matrices_path) - print("Wrote", output) - - -def main( - matrices_spec_path: Annotated[ - Path, - typer.Option( - exists=True, - file_okay=True, - dir_okay=False, - readable=True, - resolve_path=True, - ), - ] = Path("matrices.yaml"), - matrices_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("matrices"), - tmp_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("tmp"), -): - print("Reading matrices spec from", matrices_spec_path) - matrices = get_matrices(matrices_spec_path) - print("Enabled matrices:", ", ".join(matrices.keys())) - - tmp_path.mkdir(exist_ok=True) - matrices_path.mkdir(exist_ok=True) - - temp_paths = [] - for name, link in matrices.items(): - print("Downloading", name) - downloaded_path = download_matrix(tmp_path, link) - temp_paths.append(downloaded_path) - for matrix in temp_paths: - unpack_matrix(matrix, matrices_path) - - -if __name__ == "__main__": - typer.run(main) diff --git a/src/__init__.py b/src/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/common.py b/src/common.py new file mode 100644 index 0000000..5cd6f58 --- /dev/null +++ b/src/common.py @@ -0,0 +1,36 @@ +from dataclasses import dataclass +from enum import StrEnum, auto +from pathlib import Path +from typing import List + +from dataclass_wizard import YAMLWizard +import yaml + + +class Algorithm(StrEnum): + BFS = auto() + SSSP = auto() + TC = auto() + + +class Tool(StrEnum): + NETWORKX = auto() + FSHARP = auto() + INPLA = auto() + LAGRAPH = auto() + VINE = auto() + + +@dataclass +class Matrix(YAMLWizard): + name: str + enabled: bool + algorithm: Algorithm + tools: list[Tool] + reorder: bool + link: str + + +def get_enabled_matrices(matrices_spec_path: Path) -> list[Matrix]: + matrices: List[Matrix] = Matrix.from_yaml_file(matrices_spec_path) # type: ignore + return list(filter(lambda matrix: matrix.enabled, matrices)) diff --git a/src/download.py b/src/download.py new file mode 100644 index 0000000..f0eea20 --- /dev/null +++ b/src/download.py @@ -0,0 +1,60 @@ +import logging +from pathlib import Path +import shutil + +import requests +import typer + +from .common import Matrix, get_enabled_matrices +from .type_aliases import DirPathOption, FilePathOption + +app = typer.Typer() +log = logging.getLogger("rich") + + +def download_matrix(matrix: Matrix, tmp_path: Path) -> Path: + matrix_resp = requests.get(matrix.link, allow_redirects=True) + filename = matrix.link.split("/")[-1] + full_path = tmp_path / filename + with open(full_path, "wb+") as f: + f.write(matrix_resp.content) + return full_path + + +def unpack_matrix(matrix_archive_path: Path, matrices_path: Path) -> None: + shutil.unpack_archive(matrix_archive_path, matrix_archive_path.parent) + paths_to_copy = list( + Path(matrix_archive_path.parent).glob( + f"**/{matrix_archive_path.name.split('.')[0]}.mtx" + ) + ) + for path in paths_to_copy: + output = shutil.copy(path, matrices_path) + log.info("Unpacked to %s", output) + + +@app.command() +def download( + matrices_spec_path: FilePathOption = Path("matrices.yaml"), + matrices_path: DirPathOption = Path("matrices"), + tmp_path: DirPathOption = Path("tmp"), +): + log.info("Reading matrices spec from %s", matrices_spec_path) + matrices = get_enabled_matrices(matrices_spec_path) + matrix_names = list(map(lambda matrix: matrix.name, matrices)) + log.info("Enabled matrices: %s", set(matrix_names)) + + log.info("Creating %s", tmp_path) + tmp_path.mkdir(exist_ok=True) + log.info("Creating %s", tmp_path) + matrices_path.mkdir(exist_ok=True) + + for matrix in matrices: + if (matrices_path / (matrix.name + ".mtx")).exists(): + log.info("%s already downloaded, skipping", matrix.name) + continue + + log.info("Downloading %s", matrix.name) + matrix_archive_path = download_matrix(matrix, tmp_path) + log.info("Unpacking %s", matrix_archive_path) + unpack_matrix(matrix_archive_path, matrices_path) diff --git a/src/type_aliases.py b/src/type_aliases.py new file mode 100644 index 0000000..be802f4 --- /dev/null +++ b/src/type_aliases.py @@ -0,0 +1,27 @@ +from pathlib import Path +from typing import Annotated + +import typer + + +FilePathOption = Annotated[ + Path, + typer.Option( + exists=True, + file_okay=True, + dir_okay=False, + readable=True, + resolve_path=True, + ), +] + +DirPathOption = Annotated[ + Path, + typer.Option( + file_okay=False, + dir_okay=True, + readable=True, + writable=True, + resolve_path=True, + ), +] diff --git a/uv.lock b/uv.lock index f2eae2d..6183221 100644 --- a/uv.lock +++ b/uv.lock @@ -242,6 +242,20 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30", size = 8321, upload-time = "2023-10-07T05:32:16.783Z" }, ] +[[package]] +name = "dataclass-wizard" +version = "0.39.1" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/36/ea/6b2811092feecbe9d672e3641196ac5fcbec6664074da5dec8b9fd9b9059/dataclass_wizard-0.39.1.tar.gz", hash = "sha256:1679948ed7c62103f40b34df97d03b35e6b2ad50f58173fdbe30074e2e4730f2", size = 361190, upload-time = "2026-01-06T03:30:57.054Z" } +wheels = [ + { url = "https://files.pythonhosted.org/packages/27/a0/a221942b3fbbafaea4e211744d298366b6a9712c1aa336b05fc1c865ac0c/dataclass_wizard-0.39.1-py3-none-any.whl", hash = "sha256:3324e59eca705882eb34e2b3989b2beadd8c2b523e6269d4002cf1a4a5bf703b", size = 215344, upload-time = "2026-01-06T03:30:54.915Z" }, +] + +[package.optional-dependencies] +yaml = [ + { name = "pyyaml" }, +] + [[package]] name = "debugpy" version = "1.8.20" @@ -315,6 +329,7 @@ name = "graph-benchmarks" version = "0.1.0" source = { virtual = "." } dependencies = [ + { name = "dataclass-wizard", extra = ["yaml"] }, { name = "ipykernel" }, { name = "matplotlib" }, { name = "pandas" }, @@ -326,6 +341,7 @@ dependencies = [ [package.metadata] requires-dist = [ + { name = "dataclass-wizard", extras = ["yaml"], specifier = ">=0.39.1" }, { name = "ipykernel", specifier = ">=7.2.0" }, { name = "matplotlib", specifier = ">=3.10.8" }, { name = "pandas", specifier = ">=3.0.2" }, From e72ef287f943bdc9a8800be6d94b4afcd71317a0 Mon Sep 17 00:00:00 2001 From: Nick Ponomarev Date: Mon, 22 Jun 2026 16:01:21 +0300 Subject: [PATCH 03/11] Add prepare-matrices to unified interface --- main.py | 2 + pyproject.toml | 2 + scripts/make_positive_int.py | 38 ----------------- scripts/prepare_matrices.py | 75 -------------------------------- src/common.py | 10 +++++ src/download.py | 5 ++- src/prepare_matrices.py | 83 ++++++++++++++++++++++++++++++++++++ uv.lock | 52 ++++++++++++++++++++++ 8 files changed, 152 insertions(+), 115 deletions(-) delete mode 100644 scripts/make_positive_int.py delete mode 100644 scripts/prepare_matrices.py create mode 100644 src/prepare_matrices.py diff --git a/main.py b/main.py index 8fbadc1..f3c45fe 100644 --- a/main.py +++ b/main.py @@ -4,9 +4,11 @@ from rich.logging import RichHandler from src.download import app as download_app +from src.prepare_matrices import app as prepare_matrices_app app = typer.Typer() app.add_typer(download_app) +app.add_typer(prepare_matrices_app) log_file_handler = logging.FileHandler("log.txt") diff --git a/pyproject.toml b/pyproject.toml index 5a6d6b8..d63f8be 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,5 +12,7 @@ dependencies = [ "pyyaml>=6.0.3", "requests[socks]>=2.33.1", "scipy>=1.17.1", + "scipy-stubs>=1.18.0.0", + "toolz>=1.1.0", "typer>=0.24.1", ] diff --git a/scripts/make_positive_int.py b/scripts/make_positive_int.py deleted file mode 100644 index 297d5a9..0000000 --- a/scripts/make_positive_int.py +++ /dev/null @@ -1,38 +0,0 @@ -from pathlib import Path -from typing import Annotated - -from scipy.sparse import coo_array -from scipy.io import mmread, mmwrite -import typer - - -def make_nonnegative_int(matrix: coo_array): - matrix = matrix.trunc() - min_element = matrix.min() - if min_element < 0: - to_add = abs(min_element) - matrix.data += to_add - matrix.eliminate_zeros() - return matrix - - -def main( - matrix_path: Annotated[ - Path, - typer.Argument( - exists=True, - file_okay=True, - dir_okay=False, - readable=True, - writable=True, - resolve_path=True, - ), - ], -): - matrix = mmread(matrix_path, spmatrix=True) - nonnegative_int_matrix = make_nonnegative_int(matrix) - mmwrite(matrix_path, nonnegative_int_matrix, field="integer") - - -if __name__ == "__main__": - typer.run(main) diff --git a/scripts/prepare_matrices.py b/scripts/prepare_matrices.py deleted file mode 100644 index ac8dd08..0000000 --- a/scripts/prepare_matrices.py +++ /dev/null @@ -1,75 +0,0 @@ -from pathlib import Path -import subprocess -from typing import Annotated - -import typer -import yaml - -from common import BenchMatrix, BenchmarkType - - -def main( - matrices_spec_path: Annotated[ - Path, - typer.Option( - exists=True, - file_okay=True, - dir_okay=False, - readable=True, - resolve_path=True, - ), - ] = Path("matrices.yaml"), - matrices_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("matrices"), - inpla_bench_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("tools") / "QTreeInpla", -): - with open(matrices_spec_path, "r", encoding="utf-8") as m_file: - matrices: list[BenchMatrix] = yaml.safe_load(m_file) - enabled_matrices = list(filter(lambda matrix: matrix["enabled"], matrices)) - - print("*** Making matrices nonnegative int ***") - enabled_matrix_names = set(map(lambda matrix: matrix["name"], enabled_matrices)) - for matrix_name in enabled_matrix_names: - matrix_path = matrices_path / (matrix_name + ".mtx") - subprocess.run( - ["uv", "run", Path("scripts") / "make_positive_int.py", matrix_path], - check=True, - ) - print("Made nonnegative int matrix", matrix_path) - print("") - - print("*** Reordering matrices ***") - matrices_to_reorder = list( - filter(lambda matrix: matrix["reorder"], enabled_matrices) - ) - for matrix in matrices_to_reorder: - subprocess.run( - [ - "uv", - "run", - inpla_bench_path / "scripts" / "simple_mtx_reordering.py", - matrices_path / (matrix["name"] + ".mtx"), - ], - check=True, - ) - - -if __name__ == "__main__": - typer.run(main) diff --git a/src/common.py b/src/common.py index 5cd6f58..78e4d84 100644 --- a/src/common.py +++ b/src/common.py @@ -1,9 +1,11 @@ from dataclasses import dataclass from enum import StrEnum, auto +from operator import attrgetter from pathlib import Path from typing import List from dataclass_wizard import YAMLWizard +from toolz.itertoolz import unique import yaml @@ -34,3 +36,11 @@ class Matrix(YAMLWizard): def get_enabled_matrices(matrices_spec_path: Path) -> list[Matrix]: matrices: List[Matrix] = Matrix.from_yaml_file(matrices_spec_path) # type: ignore return list(filter(lambda matrix: matrix.enabled, matrices)) + + +def get_unique_by_name_matrices(matrices: list[Matrix]) -> list[Matrix]: + return list(unique(matrices, attrgetter("name"))) + + +def get_matrix_base_name(matrix: Matrix) -> str: + return matrix.name + ("_reordered" if matrix.reorder else "") diff --git a/src/download.py b/src/download.py index f0eea20..86e52c1 100644 --- a/src/download.py +++ b/src/download.py @@ -5,7 +5,7 @@ import requests import typer -from .common import Matrix, get_enabled_matrices +from .common import Matrix, get_enabled_matrices, get_unique_by_name_matrices from .type_aliases import DirPathOption, FilePathOption app = typer.Typer() @@ -41,8 +41,9 @@ def download( ): log.info("Reading matrices spec from %s", matrices_spec_path) matrices = get_enabled_matrices(matrices_spec_path) + matrices = get_unique_by_name_matrices(matrices) matrix_names = list(map(lambda matrix: matrix.name, matrices)) - log.info("Enabled matrices: %s", set(matrix_names)) + log.info("Enabled matrices: %s", matrix_names) log.info("Creating %s", tmp_path) tmp_path.mkdir(exist_ok=True) diff --git a/src/prepare_matrices.py b/src/prepare_matrices.py new file mode 100644 index 0000000..310f5b3 --- /dev/null +++ b/src/prepare_matrices.py @@ -0,0 +1,83 @@ +import logging +from pathlib import Path + +import scipy.sparse as sp +import typer +from scipy.io import mmread, mmwrite + +from .common import Matrix, get_enabled_matrices, get_unique_by_name_matrices +from .type_aliases import DirPathOption, FilePathOption + +app = typer.Typer() +log = logging.getLogger("rich") + + +def make_coo_array_nonnegative_int(matrix): + matrix = matrix.trunc() + min_element = matrix.min() + if min_element < 0: + to_add = abs(min_element) + matrix.data += to_add + matrix.eliminate_zeros() + return matrix + + +def make_matrix_nonnegative_int(matrices_path: Path, matrix: Matrix): + matrix_path = matrices_path / (matrix.name + ".mtx") + matrix_array = mmread(matrix_path, spmatrix=False) + nonnegative_int_matrix = make_coo_array_nonnegative_int(matrix_array) + mmwrite(matrix_path, nonnegative_int_matrix, field="integer") + + +# Based on https://github.com/Lamagraph/QTreeInpla/blob/main/scripts/simple_mtx_reordering.py +def reorder_rcm_array(matrix_array): + """ + Переупорядочивание с помощью обратного алгоритма Катхилла-Макки (RCM). + Возвращает перестановку для строк и столбцов (одна и та же). + """ + # Симметризуем структуру ненулевых элементов + matrix_array_bin = (matrix_array != 0).astype(int) # type: ignore + matrix_array_sym = (matrix_array_bin + matrix_array_bin.T) > 0 + matrix_array_sym = matrix_array_sym.tocsr() + matrix_array_sym.setdiag(0) # убираем петли (диагональ) + matrix_array_sym.eliminate_zeros() + + # Вычисляем перестановку RCM + perm = sp.csgraph.reverse_cuthill_mckee(matrix_array_sym, symmetric_mode=True) + return perm + + +def reorder_rcm_matrix(matrices_path: Path, matrix: Matrix): + matrix_path = matrices_path / (matrix.name + ".mtx") + matrix_array = mmread(matrix_path, spmatrix=False).tocsr() + if matrix_array.shape[0] != matrix_array.shape[1]: + log.warning("Rectangle matrix detected. Only rows will be reordered.") + perm = reorder_rcm_array(matrix_array) + if matrix_array.shape[0] == matrix_array.shape[1]: + matrix_array_reordered = matrix_array[perm, :][:, perm] + else: + matrix_array_reordered = matrix_array[perm, :] + + mmwrite(matrix_path, matrix_array_reordered) + + +@app.command() +def prepare_matrices( + matrices_spec_path: FilePathOption = Path("matrices.yaml"), + matrices_path: DirPathOption = Path("matrices"), +): + log.info("Reading matrices spec from %s", matrices_spec_path) + matrices = get_enabled_matrices(matrices_spec_path) + matrices_unique = get_unique_by_name_matrices(matrices) + + log.info("Making matrices nonnegative int") + for matrix in matrices_unique: + log.info("Making %s nonnegative", matrix.name) + make_matrix_nonnegative_int(matrices_path, matrix) + + matrices_for_reorder = list(filter(lambda matrix: matrix.reorder, matrices)) + matrices_for_reorder = get_unique_by_name_matrices(matrices_for_reorder) + log.info("Creating reordered matrices") + for matrix in matrices_for_reorder: + log.info("Creating reorder of %s", matrix.name) + reorder_rcm_matrix(matrices_path, matrix) diff --git a/uv.lock b/uv.lock index 6183221..119fbeb 100644 --- a/uv.lock +++ b/uv.lock @@ -336,6 +336,8 @@ dependencies = [ { name = "pyyaml" }, { name = "requests", extra = ["socks"] }, { name = "scipy" }, + { name = "scipy-stubs" }, + { name = "toolz" }, { name = "typer" }, ] @@ -348,6 +350,8 @@ requires-dist = [ { name = "pyyaml", specifier = ">=6.0.3" }, { name = "requests", extras = ["socks"], specifier = ">=2.33.1" }, { name = "scipy", specifier = ">=1.17.1" }, + { name = "scipy-stubs", specifier = ">=1.18.0.0" }, + { name = "toolz", specifier = ">=1.1.0" }, { name = "typer", specifier = ">=0.24.1" }, ] @@ -665,6 +669,33 @@ wheels = [ { url = "https://files.pythonhosted.org/packages/58/78/548fb8e07b1a341746bfbecb32f2c268470f45fa028aacdbd10d9bc73aab/numpy-2.4.4-cp314-cp314t-win_arm64.whl", hash = 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name = "tornado" version = "6.5.5" From 9c2a1a820a7aa08abe84062c164267ed43f82fb9 Mon Sep 17 00:00:00 2001 From: Nick Ponomarev Date: Fri, 26 Jun 2026 11:33:50 +0300 Subject: [PATCH 04/11] Use modern syntax for type aliases --- src/type_aliases.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/type_aliases.py b/src/type_aliases.py index be802f4..2bde500 100644 --- a/src/type_aliases.py +++ b/src/type_aliases.py @@ -4,7 +4,7 @@ import typer -FilePathOption = Annotated[ +type FilePathOption = Annotated[ Path, typer.Option( exists=True, @@ -15,7 +15,7 @@ ), ] -DirPathOption = Annotated[ +type DirPathOption = Annotated[ Path, typer.Option( file_okay=False, From cdd20aa358df33cda1b1220118e0692cd368c204 Mon Sep 17 00:00:00 2001 From: Nick Ponomarev Date: Fri, 26 Jun 2026 19:16:48 +0300 Subject: [PATCH 05/11] Fix renaming after reordering --- src/prepare_matrices.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/src/prepare_matrices.py b/src/prepare_matrices.py index 310f5b3..6c5f4b1 100644 --- a/src/prepare_matrices.py +++ b/src/prepare_matrices.py @@ -1,4 +1,5 @@ import logging +import os from pathlib import Path import scipy.sparse as sp @@ -57,7 +58,8 @@ def reorder_rcm_matrix(matrices_path: Path, matrix: Matrix): matrix_array_reordered = matrix_array[perm, :][:, perm] else: matrix_array_reordered = matrix_array[perm, :] - + name, ext = os.path.splitext(matrix_path) + matrix_path = name + "_reordered" + ext mmwrite(matrix_path, matrix_array_reordered) From eb5b07086a00bbcafbe0db75b75474ec2fc1601a Mon Sep 17 00:00:00 2001 From: Nick Ponomarev Date: Fri, 26 Jun 2026 19:17:01 +0300 Subject: [PATCH 06/11] Bump all dependencies --- uv.lock | 526 +++++++++++++++++++++++++++----------------------------- 1 file changed, 252 insertions(+), 274 deletions(-) diff --git a/uv.lock b/uv.lock index 119fbeb..45df208 100644 --- a/uv.lock +++ b/uv.lock @@ -39,11 +39,11 @@ wheels = [ [[package]] name = "certifi" -version = 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00:00:00 2001 From: Nick Ponomarev Date: Fri, 26 Jun 2026 19:55:43 +0300 Subject: [PATCH 07/11] Add lagraph benchmark --- main.py | 4 +- scripts/run_lagraph.py | 266 -------------------------------------- src/benchmark/__init__.py | 7 + src/benchmark/lagraph.py | 144 +++++++++++++++++++++ src/common.py | 113 +++++++++++++++- src/type_aliases.py | 4 +- 6 files changed, 267 insertions(+), 271 deletions(-) delete mode 100644 scripts/run_lagraph.py create mode 100644 src/benchmark/__init__.py create mode 100644 src/benchmark/lagraph.py diff --git a/main.py b/main.py index f3c45fe..e4b85fc 100644 --- a/main.py +++ b/main.py @@ -5,10 +5,12 @@ from src.download import app as download_app from src.prepare_matrices import app as prepare_matrices_app +from src.benchmark import app as benchmark_app -app = typer.Typer() +app = typer.Typer(no_args_is_help=True) app.add_typer(download_app) app.add_typer(prepare_matrices_app) +app.add_typer(benchmark_app, name="benchmark") log_file_handler = logging.FileHandler("log.txt") diff --git a/scripts/run_lagraph.py b/scripts/run_lagraph.py deleted file mode 100644 index df1f0fb..0000000 --- a/scripts/run_lagraph.py +++ /dev/null @@ -1,266 +0,0 @@ -from datetime import datetime -import json -import os -from pathlib import Path -import subprocess -from typing import Annotated - -import typer -import yaml - -from common import ( - BenchMatrix, - BenchmarkType, - get_matrix_base_name, - get_matrix_filename_mtx, -) - - -def make_GraphBLAS(dependencies_path: Path): - subprocess.run(["make"], cwd=dependencies_path / "GraphBLAS", check=True) - - -def check_GraphBLAS(dependencies_path: Path): - subprocess.run(["make", "check"], cwd=dependencies_path / "GraphBLAS", check=True) - - -def make_LAGraph(dependencies_path: Path): - subprocess.run(["make"], cwd=dependencies_path / "LAGraph", check=True) - - -def check_LAGraph(dependencies_path: Path): - subprocess.run(["make", "test"], cwd=dependencies_path / "LAGraph", check=True) - - -def make_benchmarks(dependencies_path: Path, lagraph_bench_path: Path): - (lagraph_bench_path / "build").mkdir(exist_ok=True) - cc_common_args = [ - "-I", - str(dependencies_path / "GraphBLAS" / "Include"), - "-I", - str(dependencies_path / "LAGraph" / "include"), - "-L", - str(dependencies_path / "GraphBLAS" / "build"), - "-L", - str(dependencies_path / "LAGraph" / "build" / "src"), - "-lgraphblas", - "-llagraph", - "-Wl,-rpath=" + str(dependencies_path / "GraphBLAS" / "build"), - "-Wl,-rpath=" + str(dependencies_path / "LAGraph" / "build" / "src"), - "-O3", - "-g", - ] - subprocess.run( - ["cc", "src/lagraph_bfs.c", "-o", "build/lagraph_bfs"] + cc_common_args, - cwd=lagraph_bench_path, - check=True, - ) - subprocess.run( - ["cc", "src/lagraph_sssp.c", "-o", "build/lagraph_sssp"] + cc_common_args, - cwd=lagraph_bench_path, - check=True, - ) - subprocess.run( - ["cc", "src/lagraph_triangles.c", "-o", "build/lagraph_tc"] + cc_common_args, - cwd=lagraph_bench_path, - check=True, - ) - - -def run_lagraph( - lagraph_bench_path: Path, - matrices_path: Path, - matrix: BenchMatrix, - thread_count: int, -) -> str: - run_res = subprocess.run( - [ - Path("build") / ("lagraph_" + matrix["algorithm"]), - matrices_path / get_matrix_filename_mtx(matrix), - ], - cwd=lagraph_bench_path, - capture_output=True, - text=True, - env={"OMP_NUM_THREADS": str(thread_count)}, - ) - if run_res.returncode != 0: - print( - "Process", - run_res.args, - "exited with code", - run_res.returncode, - end="", - flush=True, - ) - return run_res.stdout - - -def run_lagraph_many_times( - lagraph_bench_path: Path, - matrices_path: Path, - matrix: BenchMatrix, - run_count: int, - thread_count: int, -) -> list[str]: - result = [] - print("Running with", thread_count, "threads. Run: ", end="") - for i in range(run_count): - print(i + 1, "...", sep="", end="", flush=True) - result.append( - run_lagraph(lagraph_bench_path, matrices_path, matrix, thread_count) - ) - print("") - return result - - -def run_experiment( - lagraph_bench_path: Path, - matrices_path: Path, - matrix: BenchMatrix, - run_count: int, - thread_count: int, -) -> dict[int, list[str]]: - if thread_count <= 0: - result = dict() - - nproc = os.cpu_count() - if nproc is None: - raise RuntimeError("Cannot get nproc") - thread_counts = [1] + list(range(2, nproc + 1, 2)) - - for thread_count in thread_counts: - result[thread_count] = run_lagraph_many_times( - lagraph_bench_path, matrices_path, matrix, run_count, thread_count - ) - - return result - else: - result = run_lagraph_many_times( - lagraph_bench_path, matrices_path, matrix, run_count, thread_count - ) - return {thread_count: result} - - -def run_experiments( - lagraph_bench_path: Path, - matrices_path: Path, - run_count: int, - thread_count: int, - lagraph_matrices: list[BenchMatrix], -): - results: dict[str, dict[str, dict[int, list[str]]]] = { - "bfs": dict(), - "sssp": dict(), - "tc": dict(), - } - for matrix in lagraph_matrices: - base_name = get_matrix_base_name(matrix) - print("Benchmarking", matrix["algorithm"], "on", base_name) - results[matrix["algorithm"]][base_name] = run_experiment( - lagraph_bench_path, matrices_path, matrix, run_count, thread_count - ) - print("") - - return results - - -def main( - matrices_spec_path: Annotated[ - Path, - typer.Option( - exists=True, - file_okay=True, - dir_okay=False, - readable=True, - resolve_path=True, - ), - ] = Path("matrices.yaml"), - matrices_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("matrices"), - dependencies_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("dependencies"), - lagraph_bench_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("tools/lagraph-bench"), - raw_results_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("results") / "raw", - check: Annotated[bool, typer.Option()] = False, - run_count: Annotated[int, typer.Option] = 20, - thread_count: Annotated[int, typer.Option] = 0, -): - print("*** Making GraphBLAS ***") - make_GraphBLAS(dependencies_path) - print("") - if check: - print("*** Checking GraphBLAS ***") - check_GraphBLAS(dependencies_path) - print("") - - print("*** Making LAGraph ***") - make_LAGraph(dependencies_path) - print("") - if check: - print("*** Checking LAGraph ***") - check_LAGraph(dependencies_path) - print("") - - print("*** Making benchmarks ***") - make_benchmarks(dependencies_path, lagraph_bench_path) - print("") - - with open(matrices_spec_path, "r", encoding="utf-8") as m_file: - matrices: list[BenchMatrix] = yaml.safe_load(m_file) - enabled_matrices = filter(lambda matrix: matrix["enabled"], matrices) - lagraph_matrices = list( - filter(lambda matrix: "lagraph" in matrix["tools"], enabled_matrices) - ) - - print("*** Running experiments ***") - results = run_experiments( - lagraph_bench_path, matrices_path, run_count, thread_count, lagraph_matrices - ) - print("") - - print("*** Writing results ***") - raw_results_path.mkdir(parents=True, exist_ok=True) - results_path = raw_results_path / ( - datetime.now().astimezone().isoformat(timespec="minutes") + "_lagraph.json" - ) - with open(results_path, "w", encoding="utf-8") as r_file: - json.dump(results, r_file) - print("Wrote to", str(results_path)) - - -if __name__ == "__main__": - typer.run(main) diff --git a/src/benchmark/__init__.py b/src/benchmark/__init__.py new file mode 100644 index 0000000..88d68ab --- /dev/null +++ b/src/benchmark/__init__.py @@ -0,0 +1,7 @@ +import typer + +from .lagraph import app as lagraph_app + +app = typer.Typer(no_args_is_help=True) + +app.add_typer(lagraph_app) diff --git a/src/benchmark/lagraph.py b/src/benchmark/lagraph.py new file mode 100644 index 0000000..33d1406 --- /dev/null +++ b/src/benchmark/lagraph.py @@ -0,0 +1,144 @@ +import logging +from pathlib import Path +import subprocess +from typing import Annotated + +import typer + +from ..common import ( + Matrix, + Tool, + comma_separated_str_to_int_list, + get_enabled_matrices, + get_matrix_filename_mtx, + run_benchmarks, + write_results, +) +from ..type_aliases import DirPathOption, FilePathOption + +app = typer.Typer() +log = logging.getLogger("rich") + + +def build_GraphBLAS(dependencies_path: Path): + subprocess.run(["make"], cwd=dependencies_path / "GraphBLAS", check=True) + + +def check_GraphBLAS(dependencies_path: Path): + subprocess.run(["make", "check"], cwd=dependencies_path / "GraphBLAS", check=True) + + +def build_LAGraph(dependencies_path: Path): + subprocess.run(["make"], cwd=dependencies_path / "LAGraph", check=True) + + +def check_LAGraph(dependencies_path: Path): + subprocess.run(["make", "test"], cwd=dependencies_path / "LAGraph", check=True) + + +def build_benchmarks(dependencies_path: Path, lagraph_bench_path: Path): + (lagraph_bench_path / "build").mkdir(exist_ok=True) + cc_common_args = [ + "-I", + str(dependencies_path / "GraphBLAS" / "Include"), + "-I", + str(dependencies_path / "LAGraph" / "include"), + "-L", + str(dependencies_path / "GraphBLAS" / "build"), + "-L", + str(dependencies_path / "LAGraph" / "build" / "src"), + "-lgraphblas", + "-llagraph", + "-Wl,-rpath=" + str(dependencies_path / "GraphBLAS" / "build"), + "-Wl,-rpath=" + str(dependencies_path / "LAGraph" / "build" / "src"), + "-O3", + "-g", + ] + subprocess.run( + ["cc", "src/lagraph_bfs.c", "-o", "build/lagraph_bfs"] + cc_common_args, + cwd=lagraph_bench_path, + check=True, + ) + subprocess.run( + ["cc", "src/lagraph_sssp.c", "-o", "build/lagraph_sssp"] + cc_common_args, + cwd=lagraph_bench_path, + check=True, + ) + subprocess.run( + ["cc", "src/lagraph_triangles.c", "-o", "build/lagraph_tc"] + cc_common_args, + cwd=lagraph_bench_path, + check=True, + ) + + +def run_lagraph( + matrix: Matrix, + thread_count: int, + *, + lagraph_bench_path: Path, + matrices_path: Path, +) -> subprocess.CompletedProcess[str]: + return subprocess.run( + [ + Path("build") / ("lagraph_" + matrix.algorithm), + matrices_path / get_matrix_filename_mtx(matrix), + ], + cwd=lagraph_bench_path, + capture_output=True, + text=True, + env={"OMP_NUM_THREADS": str(thread_count)}, + ) + + +@app.command() +def lagraph( + matrices_spec_path: FilePathOption = Path("matrices.yaml"), + matrices_path: DirPathOption = Path("matrices"), + dependencies_path: DirPathOption = Path("dependencies"), + lagraph_bench_path: DirPathOption = Path("tools/lagraph-bench"), + raw_results_path: DirPathOption = Path("results") / "raw", + check: Annotated[bool, typer.Option()] = False, + run_count: Annotated[int, typer.Option] = 20, + thread_counts: Annotated[str | None, typer.Option()] = None, +): + log.info("Building GraphBLAS") + build_GraphBLAS(dependencies_path) + log.info("Successfully built GraphBLAS") + + if check: + log.info("Checking GraphBLAS") + check_GraphBLAS(dependencies_path) + log.info("Successfully checked GraphBLAS") + + log.info("Building LAGraph") + build_LAGraph(dependencies_path) + log.info("Successfully built LAGraph") + if check: + log.info("Checking LAGraph") + check_LAGraph(dependencies_path) + log.info("Successfully checked LAGraph") + + log.info("Building benchmarks") + build_benchmarks(dependencies_path, lagraph_bench_path) + log.info("Successfully built LAGraph") + + matrices = get_enabled_matrices(matrices_spec_path) + matrices = list(filter(lambda matrix: Tool.LAGRAPH in matrix.tools, matrices)) + + # parser doesn't work + # see https://github.com/fastapi/typer/discussions/1393 + thread_counts_t = comma_separated_str_to_int_list(thread_counts) + logging.info( + "Starting LAGraph benchmarks with thread counts: %s", + thread_counts_t, + ) + results = run_benchmarks( + matrices, + thread_counts_t, + run_count, + run_lagraph, + matrices_path=matrices_path, + lagraph_bench_path=lagraph_bench_path, + ) + + write_results(results, raw_results_path, Tool.LAGRAPH) diff --git a/src/common.py b/src/common.py index 78e4d84..6ebfa0f 100644 --- a/src/common.py +++ b/src/common.py @@ -1,12 +1,20 @@ from dataclasses import dataclass +from datetime import datetime from enum import StrEnum, auto +import json +import logging from operator import attrgetter +import os from pathlib import Path -from typing import List +import subprocess +from typing import Callable, Concatenate, List, TypedDict from dataclass_wizard import YAMLWizard from toolz.itertoolz import unique -import yaml + +type RunToolCallable = Callable[ + Concatenate[Matrix, int, ...], subprocess.CompletedProcess[str] +] class Algorithm(StrEnum): @@ -33,6 +41,13 @@ class Matrix(YAMLWizard): link: str +# @dataclass would be fancier, but would require many setattrs and getattrs +class Results(TypedDict): + bfs: dict[str, dict[int, list[str]]] + sssp: dict[str, dict[int, list[str]]] + tc: dict[str, dict[int, list[str]]] + + def get_enabled_matrices(matrices_spec_path: Path) -> list[Matrix]: matrices: List[Matrix] = Matrix.from_yaml_file(matrices_spec_path) # type: ignore return list(filter(lambda matrix: matrix.enabled, matrices)) @@ -44,3 +59,97 @@ def get_unique_by_name_matrices(matrices: list[Matrix]) -> list[Matrix]: def get_matrix_base_name(matrix: Matrix) -> str: return matrix.name + ("_reordered" if matrix.reorder else "") + + +def get_matrix_filename_mtx(matrix: Matrix) -> str: + return get_matrix_base_name(matrix) + ".mtx" + + +def comma_separated_str_to_int_list(str: str | None) -> list[int] | None: + if str is None: + return None + else: + tmp = list(map(lambda x: int(x), str.split(","))) + return tmp + + +def run_tool_many_times( + matrix: Matrix, + thread_count: int, + run_count: int, + run_tool: RunToolCallable, + **kwargs, +): + results = [] + logging.info("Running with %s threads", thread_count) + for i in range(run_count): + logging.info("Starting run %s", i) + result = run_tool(matrix, thread_count, **kwargs) + if result.returncode != 0: + logging.warning( + "Process %s exited with code %s", + result.args, + result.returncode, + ) + results.append(result.stdout) + return results + + +def run_benchmark( + matrix: Matrix, + thread_counts: list[int] | None, + run_count: int, + run_tool: RunToolCallable, + **kwargs, +): + if thread_counts is None: + nproc = os.cpu_count() + if nproc is None: + raise RuntimeError("Cannot get nproc") + thread_counts = [1] + list(range(2, nproc + 1, 2)) + + result: dict[int, list[str]] = dict() + + for thread_count in thread_counts: + result[thread_count] = run_tool_many_times( + matrix, thread_count, run_count, run_tool, **kwargs + ) + + return result + + +def run_benchmarks( + matrices: list[Matrix], + thread_counts: list[int] | None, + run_count: int, + run_tool: RunToolCallable, + **kwargs, +): + results: Results = { + "bfs": dict(), + "sssp": dict(), + "tc": dict(), + } + + for matrix in matrices: + base_name = get_matrix_base_name(matrix) + logging.info("Benchmarking %s on %s", matrix.algorithm, base_name) + results[str(matrix.algorithm)][base_name] = run_benchmark( + matrix, thread_counts, run_count, run_tool, **kwargs + ) + + return results + + +def write_results(results: Results, raw_results_path: Path, tool: Tool): + raw_results_path.mkdir(parents=True, exist_ok=True) + results_path = raw_results_path / ( + datetime.now().astimezone().isoformat(timespec="minutes") + + "_" + + str(tool) + + ".json" + ) + with open(results_path, "w", encoding="utf-8") as r_file: + json.dump(results, r_file) + + logging.info("Successfully wrote results to %s", results_path) diff --git a/src/type_aliases.py b/src/type_aliases.py index 2bde500..be802f4 100644 --- a/src/type_aliases.py +++ b/src/type_aliases.py @@ -4,7 +4,7 @@ import typer -type FilePathOption = Annotated[ +FilePathOption = Annotated[ Path, typer.Option( exists=True, @@ -15,7 +15,7 @@ ), ] -type DirPathOption = Annotated[ +DirPathOption = Annotated[ Path, typer.Option( file_okay=False, From 3856e92d97b35bdc0eb504fc0592746650c5de49 Mon Sep 17 00:00:00 2001 From: Nick Ponomarev Date: Sun, 28 Jun 2026 20:56:29 +0300 Subject: [PATCH 08/11] Add get_enabled_matrices_for_tool helper --- src/benchmark/lagraph.py | 5 ++--- src/common.py | 7 +++++++ 2 files changed, 9 insertions(+), 3 deletions(-) diff --git a/src/benchmark/lagraph.py b/src/benchmark/lagraph.py index 33d1406..13f1814 100644 --- a/src/benchmark/lagraph.py +++ b/src/benchmark/lagraph.py @@ -9,7 +9,7 @@ Matrix, Tool, comma_separated_str_to_int_list, - get_enabled_matrices, + get_enabled_matrices_for_tool, get_matrix_filename_mtx, run_benchmarks, write_results, @@ -122,8 +122,7 @@ def lagraph( build_benchmarks(dependencies_path, lagraph_bench_path) log.info("Successfully built LAGraph") - matrices = get_enabled_matrices(matrices_spec_path) - matrices = list(filter(lambda matrix: Tool.LAGRAPH in matrix.tools, matrices)) + matrices = get_enabled_matrices_for_tool(matrices_spec_path, Tool.LAGRAPH) # parser doesn't work # see https://github.com/fastapi/typer/discussions/1393 diff --git a/src/common.py b/src/common.py index 6ebfa0f..c66d79f 100644 --- a/src/common.py +++ b/src/common.py @@ -53,6 +53,13 @@ def get_enabled_matrices(matrices_spec_path: Path) -> list[Matrix]: return list(filter(lambda matrix: matrix.enabled, matrices)) +def get_enabled_matrices_for_tool(matrices_spec_path: Path, tool: Tool) -> list[Matrix]: + matrices: List[Matrix] = Matrix.from_yaml_file(matrices_spec_path) # type: ignore + return list( + filter(lambda matrix: matrix.enabled and (tool in matrix.tools), matrices) + ) + + def get_unique_by_name_matrices(matrices: list[Matrix]) -> list[Matrix]: return list(unique(matrices, attrgetter("name"))) From af3d81dd5b5cb7d23be2398c8f88aaba7d1b0da2 Mon Sep 17 00:00:00 2001 From: Nick Ponomarev Date: Sun, 28 Jun 2026 21:42:23 +0300 Subject: [PATCH 09/11] Add FSharp benchmark --- scripts/run_fsharp.py | 210 -------------------------------------- src/benchmark/__init__.py | 2 + src/benchmark/fsharp.py | 171 +++++++++++++++++++++++++++++++ src/common.py | 2 +- 4 files changed, 174 insertions(+), 211 deletions(-) delete mode 100644 scripts/run_fsharp.py create mode 100644 src/benchmark/fsharp.py diff --git a/scripts/run_fsharp.py b/scripts/run_fsharp.py deleted file mode 100644 index fe71093..0000000 --- a/scripts/run_fsharp.py +++ /dev/null @@ -1,210 +0,0 @@ -from datetime import datetime -import json -from pathlib import Path -import re -import subprocess -from typing import Annotated - -import typer -import yaml - -from common import BenchMatrix, BenchmarkType, get_matrix_filename_mtx - - -def get_file_by_algorithm(fsharp_bench_path: Path, algorithm: BenchmarkType): - base = fsharp_bench_path / "QuadTree.Benchmark" - match algorithm: - case BenchmarkType.BFS: - return base / "BFS.fs" - case BenchmarkType.SSSP: - return base / "SSSP.fs" - case BenchmarkType.TC: - return base / "Triangles.fs" - - -def clean_symlinks(fsharp_bench_path: Path): - data_dir = fsharp_bench_path / "QuadTree.Benchmark" / "data" - links_to_clean = data_dir.glob("*.mtx") - for file in links_to_clean: - file.unlink() - print("Cleaned", file) - - -def symlink_matrices( - fsharp_matrices: list[BenchMatrix], matrices_path: Path, fsharp_bench_path: Path -): - for matrix in fsharp_matrices: - file_path = matrices_path / get_matrix_filename_mtx(matrix) - dst_path = ( - fsharp_bench_path - / "QuadTree.Benchmark" - / "data" - / get_matrix_filename_mtx(matrix) - ) - dst_path.symlink_to(file_path) - print("Symlinked", file_path, "to", dst_path) - - -def patch_benchmark( - fsharp_bench_path: Path, - fsharp_matrices: list[BenchMatrix], - algorithm: BenchmarkType, -): - matrices = filter(lambda matrix: matrix["algorithm"] == algorithm, fsharp_matrices) - filenames_quoted = map( - lambda matrix: '"' + get_matrix_filename_mtx(matrix) + '"', matrices - ) - filenames_str = "[]" - with open( - get_file_by_algorithm(fsharp_bench_path, algorithm), "r", encoding="utf-8" - ) as f: - file = f.read() - file_edited = re.sub(r"\[]", filenames_str, file) - with open( - get_file_by_algorithm(fsharp_bench_path, algorithm), "w", encoding="utf-8" - ) as f: - f.write(file_edited) - print( - "Patched", - get_file_by_algorithm(fsharp_bench_path, algorithm), - "with", - filenames_str, - ) - - -def patch_benchmarks(fsharp_bench_path: Path, fsharp_matrices: list[BenchMatrix]): - patch_benchmark(fsharp_bench_path, fsharp_matrices, BenchmarkType.BFS) - patch_benchmark(fsharp_bench_path, fsharp_matrices, BenchmarkType.SSSP) - patch_benchmark(fsharp_bench_path, fsharp_matrices, BenchmarkType.TC) - - -def main( - matrices_spec_path: Annotated[ - Path, - typer.Option( - exists=True, - file_okay=True, - dir_okay=False, - readable=True, - resolve_path=True, - ), - ] = Path("matrices.yaml"), - matrices_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("matrices"), - fsharp_bench_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("tools") / "QTreeFSharp", - raw_results_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("results") / "raw", - reset_tree: Annotated[bool, typer.Option()] = False, -): - if reset_tree: - print("*** Reset QTreeFSharp ***") - subprocess.run(["git", "restore", "."], cwd=fsharp_bench_path, check=True) - print("") - - with open(matrices_spec_path, "r", encoding="utf-8") as m_file: - matrices: list[BenchMatrix] = yaml.safe_load(m_file) - enabled_matrices = filter(lambda matrix: matrix["enabled"], matrices) - fsharp_matrices = list( - filter(lambda matrix: "fsharp" in matrix["tools"], enabled_matrices) - ) - - print("*** Cleaning symlinks ***") - clean_symlinks(fsharp_bench_path) - print("") - - print("*** Symlinking matrices ***") - symlink_matrices(fsharp_matrices, matrices_path, fsharp_bench_path) - print("") - - print("*** Patching benchmarks ***") - patch_benchmarks(fsharp_bench_path, fsharp_matrices) - print("") - - print("*** Running experiments ***") - subprocess.run( - [ - "dotnet", - "run", - "--configuration", - "Release", - "--project", - "QuadTree.Benchmark", - "--", - "--filter", - "*", - "--exporters", - "json", - ], - cwd=fsharp_bench_path, - check=True, - ) - print("") - - print("*** Writing results ***") - raw_results_path.mkdir(parents=True, exist_ok=True) - results_path = raw_results_path / ( - datetime.now().astimezone().isoformat(timespec="minutes") + "_fsharp.json" - ) - results = dict() - - results_dir = fsharp_bench_path / "BenchmarkDotNet.Artifacts" / "results" - bfs_results_json = ( - results_dir / "QuadTree.Benchmarks.BFS.Benchmark-report-full-compressed.json" - ) - try: - with open(bfs_results_json, "r", encoding="utf-8") as f: - results["bfs"] = json.load(f) - except FileNotFoundError: - results["vfs"] = "" - - sssp_results_json = ( - results_dir / "QuadTree.Benchmarks.SSSP.Benchmark-report-full-compressed.json" - ) - try: - with open(sssp_results_json, "r", encoding="utf-8") as f: - results["sssp"] = json.load(f) - except FileNotFoundError: - results["sssp"] = "" - - tc_results_json = ( - results_dir - / "QuadTree.Benchmarks.Triangles.Benchmark-report-full-compressed.json" - ) - try: - with open(tc_results_json, "r", encoding="utf-8") as f: - results["tc"] = json.load(f) - except FileNotFoundError: - results["tc"] = "" - - with open(results_path, "w", encoding="utf-8") as r_file: - json.dump(results, r_file) - print("Wrote to", str(results_path)) - - -if __name__ == "__main__": - typer.run(main) diff --git a/src/benchmark/__init__.py b/src/benchmark/__init__.py index 88d68ab..a65768c 100644 --- a/src/benchmark/__init__.py +++ b/src/benchmark/__init__.py @@ -1,7 +1,9 @@ import typer from .lagraph import app as lagraph_app +from .fsharp import app as fsharp_app app = typer.Typer(no_args_is_help=True) app.add_typer(lagraph_app) +app.add_typer(fsharp_app) diff --git a/src/benchmark/fsharp.py b/src/benchmark/fsharp.py new file mode 100644 index 0000000..11c821e --- /dev/null +++ b/src/benchmark/fsharp.py @@ -0,0 +1,171 @@ +import json +import logging +from pathlib import Path +import re +import subprocess +from typing import Annotated + +import typer + +from ..common import ( + Algorithm, + Matrix, + Tool, + get_enabled_matrices_for_tool, + get_matrix_filename_mtx, + get_unique_by_name_matrices, + write_results, + Results, +) +from ..type_aliases import DirPathOption, FilePathOption + +app = typer.Typer() +log = logging.getLogger("rich") + + +DOTNETBENCHMARK_RUN_COMMAND = [ + "dotnet", + "run", + "--configuration", + "Release", + "--project", + "QuadTree.Benchmark", + "--", + "--filter", + "*", + "--exporters", + "json", +] + + +def get_fsharp_algorithm_name(algorithm: Algorithm) -> str: + match algorithm: + case Algorithm.BFS: + return "BFS" + case Algorithm.SSSP: + return "SSSP" + case Algorithm.TC: + return "Triangles" + + +def get_benchmark_project_path(fsharp_bench_path: Path) -> Path: + return fsharp_bench_path / "QuadTree.Benchmark" + + +def get_benchmark_project_data_path(fsharp_bench_path: Path) -> Path: + return get_benchmark_project_path(fsharp_bench_path) / "data" + + +def clean_symlinks(fsharp_bench_path: Path) -> None: + data_dir = get_benchmark_project_data_path(fsharp_bench_path) + links_to_clean = data_dir.glob("*.mtx") + for file in links_to_clean: + log.info("Removing %s", file) + file.unlink() + + +def symlink_matrices( + matrices: list[Matrix], matrices_path: Path, fsharp_bench_path: Path +) -> None: + matrices_unique = get_unique_by_name_matrices(matrices) + for matrix in matrices_unique: + file_path = matrices_path / get_matrix_filename_mtx(matrix) + dst_path = get_benchmark_project_data_path( + fsharp_bench_path + ) / get_matrix_filename_mtx(matrix) + log.info("Symlinking %s to %s", file_path, dst_path) + dst_path.symlink_to(file_path) + + +def get_file_by_algorithm(fsharp_bench_path: Path, algorithm: Algorithm) -> Path: + return get_benchmark_project_path(fsharp_bench_path) / ( + get_fsharp_algorithm_name(algorithm) + ".fs" + ) + + +def patch_benchmark( + matrices: list[Matrix], fsharp_bench_path: Path, algorithm: Algorithm +) -> None: + matrices_t = filter(lambda matrix: matrix.algorithm == algorithm, matrices) + filenames_quoted = map( + lambda matrix: '"' + get_matrix_filename_mtx(matrix) + '"', matrices_t + ) + filenames_str = "[]" + file_to_path = get_file_by_algorithm(fsharp_bench_path, algorithm) + with open(file_to_path, "r", encoding="utf-8") as f: + file = f.read() + file_edited = re.sub(r"\[]", filenames_str, file) + log.info( + "Patching %s with %s", + file_to_path, + filenames_str, + ) + with open(file_to_path, "w", encoding="utf-8") as f: + f.write(file_edited) + + +def patch_benchmarks(matrices: list[Matrix], fsharp_bench_path: Path) -> None: + for algorithm in Algorithm: + patch_benchmark(matrices, fsharp_bench_path, algorithm) + + +def collect_result_of_algorithm( + results: Results, fsharp_bench_path: Path, algorithm: Algorithm +) -> None: + log.info("Collecting %s results", algorithm.name) + results_dir = fsharp_bench_path / "BenchmarkDotNet.Artifacts" / "results" + results_json = results_dir / ( + "QuadTree.Benchmarks." + + get_fsharp_algorithm_name(algorithm) + + ".Benchmark-report-full-compressed.json" + ) + try: + with open(results_json, "r", encoding="utf-8") as f: + results[str(algorithm)] = json.load(f) + except FileNotFoundError: + results[str(algorithm)] = "" + + +def collect_results(results: Results, fsharp_bench_path: Path) -> None: + for algorithm in Algorithm: + collect_result_of_algorithm(results, fsharp_bench_path, algorithm) + + +@app.command() +def fsharp( + matrices_spec_path: FilePathOption = Path("matrices.yaml"), + matrices_path: DirPathOption = Path("matrices"), + fsharp_bench_path: DirPathOption = Path("tools") / "QTreeFSharp", + raw_results_path: DirPathOption = Path("results") / "raw", + clean_benchmark: Annotated[bool, typer.Option()] = False, +): + if clean_benchmark: + log.info("Cleaning QTreeFSharp") + subprocess.run(["git", "restore", "."], cwd=fsharp_bench_path, check=True) + + matrices = get_enabled_matrices_for_tool(matrices_spec_path, Tool.FSHARP) + + log.info("Removing matrices in QTreeFSharp") + clean_symlinks(fsharp_bench_path) + + log.info("Symlinking matrices to QTreeFSharp") + symlink_matrices(matrices, matrices_path, fsharp_bench_path) + + log.info("Enabling matrices in QTreeFSharp") + patch_benchmarks(matrices, fsharp_bench_path) + + log.info("Starting QTreeFSharp benchmark") + subprocess.run( + DOTNETBENCHMARK_RUN_COMMAND, + cwd=fsharp_bench_path, + check=True, + ) + + results: Results = { + "bfs": dict(), + "sssp": dict(), + "tc": dict(), + } + collect_results(results, fsharp_bench_path) + + write_results(results, raw_results_path, Tool.FSHARP) diff --git a/src/common.py b/src/common.py index c66d79f..448a9a1 100644 --- a/src/common.py +++ b/src/common.py @@ -157,6 +157,6 @@ def write_results(results: Results, raw_results_path: Path, tool: Tool): + ".json" ) with open(results_path, "w", encoding="utf-8") as r_file: - json.dump(results, r_file) + json.dump(results, r_file, indent=4) logging.info("Successfully wrote results to %s", results_path) From b9a9a875654f12748b1dbb1e35dfd171aef53786 Mon Sep 17 00:00:00 2001 From: Nick Ponomarev Date: Sun, 28 Jun 2026 22:02:17 +0300 Subject: [PATCH 10/11] Add NetworkX benchmark --- scripts/run_networkx.py | 128 -------------------------------------- src/benchmark/__init__.py | 2 + src/benchmark/networkx.py | 69 ++++++++++++++++++++ 3 files changed, 71 insertions(+), 128 deletions(-) delete mode 100644 scripts/run_networkx.py create mode 100644 src/benchmark/networkx.py diff --git a/scripts/run_networkx.py b/scripts/run_networkx.py deleted file mode 100644 index 845700b..0000000 --- a/scripts/run_networkx.py +++ /dev/null @@ -1,128 +0,0 @@ -from datetime import datetime -from pathlib import Path -import shutil -import subprocess -from typing import Annotated - -import typer -import yaml - -from common import BenchMatrix, get_matrix_filename_mtx - - -def prepare_environment(nx_bench_path: Path): - subprocess.run(["uv", "sync"], cwd=nx_bench_path, check=True) - - -def clean_symlinks(nx_bench_path: Path): - bfs_to_clean = (nx_bench_path / "bfs").glob("**/*.mtx") - for file in bfs_to_clean: - file.unlink() - print("Cleaned", file) - sssp_to_clean = (nx_bench_path / "sssp").glob("**/*.mtx") - for file in sssp_to_clean: - file.unlink() - print("Cleaned", file) - tc_to_clean = (nx_bench_path / "tc").glob("**/*.mtx") - for file in tc_to_clean: - file.unlink() - print("Cleaned", file) - - -def symlink_matrices( - matrices_spec_path: Path, matrices_path: Path, nx_bench_path: Path -): - with open(matrices_spec_path, "r", encoding="utf-8") as m_file: - matrices: list[BenchMatrix] = yaml.safe_load(m_file) - enabled_matrices = filter(lambda matrix: matrix["enabled"], matrices) - networkx_matrices = filter( - lambda matrix: "networkx" in matrix["tools"], enabled_matrices - ) - for matrix in networkx_matrices: - file_path = matrices_path / get_matrix_filename_mtx(matrix) - dst_path = ( - nx_bench_path / (matrix["algorithm"]) / get_matrix_filename_mtx(matrix) - ) - dst_path.symlink_to(file_path) - print("Symlinked", file_path, "to", dst_path) - - -def run_benchmarks(nx_bench_path: Path): - subprocess.run(["uv", "run", "pytest"], cwd=nx_bench_path, check=True) - - -def main( - matrices_spec_path: Annotated[ - Path, - typer.Option( - exists=True, - file_okay=True, - dir_okay=False, - readable=True, - resolve_path=True, - ), - ] = Path("matrices.yaml"), - matrices_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("matrices"), - nx_bench_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("tools/nx-benchmarks"), - raw_results_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("results") / "raw", -): - print("*** Preparing NetworkX ***") - prepare_environment(nx_bench_path) - print("") - - print("*** Cleaning symlinks ***") - clean_symlinks(nx_bench_path) - print("") - - print("*** Symlinking matrices ***") - symlink_matrices(matrices_spec_path, matrices_path, nx_bench_path) - print("") - - print("*** Running experiments ***") - run_benchmarks(nx_bench_path) - print("") - - print("*** Writing results ***") - json_files = sorted( - (nx_bench_path / "results").glob("**/*.json"), - key=lambda p: p.stat().st_mtime, - reverse=True, - ) - latest_json = json_files[0] - raw_results_path.mkdir(parents=True, exist_ok=True) - results_path = raw_results_path / ( - datetime.now().astimezone().isoformat(timespec="minutes") + "_networkx.json" - ) - shutil.copy(latest_json, results_path) - print("Wrote to", str(results_path)) - - -if __name__ == "__main__": - typer.run(main) diff --git a/src/benchmark/__init__.py b/src/benchmark/__init__.py index a65768c..9e8e643 100644 --- a/src/benchmark/__init__.py +++ b/src/benchmark/__init__.py @@ -2,8 +2,10 @@ from .lagraph import app as lagraph_app from .fsharp import app as fsharp_app +from .networkx import app as networkx_app app = typer.Typer(no_args_is_help=True) app.add_typer(lagraph_app) app.add_typer(fsharp_app) +app.add_typer(networkx_app) diff --git a/src/benchmark/networkx.py b/src/benchmark/networkx.py new file mode 100644 index 0000000..3aaae37 --- /dev/null +++ b/src/benchmark/networkx.py @@ -0,0 +1,69 @@ +from datetime import datetime +import logging +from pathlib import Path +import shutil +import subprocess + +import typer + +from ..common import ( + Matrix, + Tool, + get_enabled_matrices_for_tool, + get_matrix_filename_mtx, +) +from ..type_aliases import DirPathOption, FilePathOption + +app = typer.Typer() +log = logging.getLogger("rich") + + +def clean_symlinks(nx_bench_path: Path): + matrices_to_clean = nx_bench_path.glob("**/*.mtx") + for file in matrices_to_clean: + log.info("Removing %s", file) + file.unlink() + + +def symlink_matrices(matrices: list[Matrix], matrices_path: Path, nx_bench_path: Path): + for matrix in matrices: + file_path = matrices_path / get_matrix_filename_mtx(matrix) + dst_path = nx_bench_path / (matrix.algorithm) / get_matrix_filename_mtx(matrix) + log.info("Symlinking %s to %s", file_path, dst_path) + dst_path.symlink_to(file_path) + + +@app.command() +def networkx( + matrices_spec_path: FilePathOption = Path("matrices.yaml"), + matrices_path: DirPathOption = Path("matrices"), + nx_bench_path: DirPathOption = Path("tools/nx-benchmarks"), + raw_results_path: DirPathOption = Path("results") / "raw", +): + log.info("Setting up NetworkX") + subprocess.run(["uv", "sync"], cwd=nx_bench_path, check=True) + + log.info("Removing matrices in NetworkX") + clean_symlinks(nx_bench_path) + + matrices = get_enabled_matrices_for_tool(matrices_spec_path, Tool.NETWORKX) + + log.info("Symlinking matrices to NetworkX") + symlink_matrices(matrices, matrices_path, nx_bench_path) + + log.info("Starting NetworkX benchmark") + subprocess.run(["uv", "run", "pytest"], cwd=nx_bench_path, check=True) + + json_files = sorted( + (nx_bench_path / "results").glob("**/*.json"), + key=lambda p: p.stat().st_mtime, + reverse=True, + ) + latest_json = json_files[0] + raw_results_path.mkdir(parents=True, exist_ok=True) + results_path = raw_results_path / ( + datetime.now().astimezone().isoformat(timespec="minutes") + "_networkx.json" + ) + shutil.copy(latest_json, results_path) + + logging.info("Successfully wrote results to %s", results_path) From c90d1bb53a4d2e4b8cba09209ee45d8f4556cf28 Mon Sep 17 00:00:00 2001 From: Nick Ponomarev Date: Tue, 30 Jun 2026 16:26:41 +0300 Subject: [PATCH 11/11] Add inpla benchmark --- scripts/run_inpla.py | 297 -------------------------------------- src/benchmark/__init__.py | 2 + src/benchmark/inpla.py | 137 ++++++++++++++++++ src/common.py | 4 + 4 files changed, 143 insertions(+), 297 deletions(-) delete mode 100644 scripts/run_inpla.py create mode 100644 src/benchmark/inpla.py diff --git a/scripts/run_inpla.py b/scripts/run_inpla.py deleted file mode 100644 index 6487e8e..0000000 --- a/scripts/run_inpla.py +++ /dev/null @@ -1,297 +0,0 @@ -from datetime import datetime -import json -import os -from pathlib import Path -import resource -import subprocess -from typing import Annotated - -import typer -import yaml - -from common import ( - BenchMatrix, - get_matrix_base_name, - get_matrix_filename_in, - get_matrix_filename_mtx, -) - - -def make_inpla(inpla_path: Path): - subprocess.run(["make", "clean"], cwd=inpla_path, check=True) - subprocess.run(["make"], cwd=inpla_path, check=True) - subprocess.run(["make", "clean"], cwd=inpla_path, check=True) - subprocess.run(["make", "thread"], cwd=inpla_path, check=True) - - -def check_inpla(inpla_path: Path, inpla_bench_path: Path): - subprocess.run( - ["dotnet", "fsi", "test.fsx", inpla_path / "inpla"], - cwd=inpla_bench_path, - check=True, - ) - - -def convert_matrix_to_inpla( - matrix: BenchMatrix, - matrices_path: Path, - inpla_bench_path: Path, -): - subprocess.run( - [ - Path("scripts") / "mtx_to_experiment.fsx", - matrices_path / get_matrix_filename_mtx(matrix), - matrix["algorithm"], - ], - cwd=inpla_bench_path, - check=True, - ) - - -def convert_matrices_to_inpla( - inpla_matrices: list[BenchMatrix], - matrices_path: Path, - inpla_bench_path: Path, -): - - for matrix in inpla_matrices: - convert_matrix_to_inpla(matrix, matrices_path, inpla_bench_path) - - -def run_inpla( - inpla_path: Path, - inpla_bench_path: Path, - thread_count: int, - matrix_path: Path, - memory_limit_for_1_thread: int, -) -> str: - resource.setrlimit( - resource.RLIMIT_STACK, (resource.RLIM_INFINITY, resource.RLIM_INFINITY) - ) - run_res = subprocess.run( - [ - inpla_path / "inpla", - "-t", - str(thread_count), - "-f", - matrix_path, - "-Xms", - str(memory_limit_for_1_thread // thread_count), - ], - cwd=inpla_bench_path, - capture_output=True, - text=True, - ) - if run_res.returncode != 0: - print( - "Process", - run_res.args, - "exited with code", - run_res.returncode, - end=" ", - flush=True, - ) - return run_res.stdout - - -def run_inpla_many_times( - inpla_path: Path, - inpla_bench_path: Path, - run_count: int, - thread_count: int, - matrix_path: Path, - memory_limit_for_1_thread: int, -) -> list[str]: - result = [] - print("Running with", thread_count, "threads. Run: ", end="") - for i in range(run_count): - print(i + 1, "...", sep="", end="", flush=True) - result.append( - run_inpla( - inpla_path, - inpla_bench_path, - thread_count, - matrix_path, - memory_limit_for_1_thread, - ) - ) - print("") - return result - - -def run_experiment( - inpla_path: Path, - inpla_bench_path: Path, - run_count: int, - thread_count: int, - matrix_path: Path, - memory_limit_for_1_thread: int, -) -> dict[int, list[str]]: - if thread_count <= 0: - result = dict() - - nproc = os.cpu_count() - if nproc is None: - raise RuntimeError("Cannot get nproc") - thread_counts = [1] + list(range(2, nproc + 1, 2)) - - for thread_count in thread_counts: - result[thread_count] = run_inpla_many_times( - inpla_path, - inpla_bench_path, - run_count, - thread_count, - matrix_path, - memory_limit_for_1_thread, - ) - - return result - else: - result = run_inpla_many_times( - inpla_path, - inpla_bench_path, - run_count, - thread_count, - matrix_path, - memory_limit_for_1_thread, - ) - return {thread_count: result} - - -def run_experiments( - inpla_path: Path, - inpla_bench_path: Path, - run_count: int, - thread_count: int, - inpla_matrices: list[BenchMatrix], - memory_limit_for_1_thread: int, -): - results: dict[str, dict[str, dict[int, list[str]]]] = { - "bfs": dict(), - "sssp": dict(), - "tc": dict(), - } - for matrix in inpla_matrices: - filename_base = get_matrix_base_name(matrix) - matrix_path = ( - inpla_bench_path - / ("experiments_" + matrix["algorithm"]) - / get_matrix_filename_in(matrix) - ) - print("Benchmarking", matrix["algorithm"], "on", filename_base) - results[matrix["algorithm"]][filename_base] = run_experiment( - inpla_path, - inpla_bench_path, - run_count, - thread_count, - matrix_path, - memory_limit_for_1_thread, - ) - print("") - - return results - - -def main( - matrices_spec_path: Annotated[ - Path, - typer.Option( - exists=True, - file_okay=True, - dir_okay=False, - readable=True, - resolve_path=True, - ), - ] = Path("matrices.yaml"), - matrices_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("matrices"), - inpla_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("dependencies") / "inpla", - inpla_bench_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("tools") / "QTreeInpla", - raw_results_path: Annotated[ - Path, - typer.Option( - file_okay=False, - dir_okay=True, - readable=True, - writable=True, - resolve_path=True, - ), - ] = Path("results") / "raw", - check: Annotated[bool, typer.Option()] = False, - run_count: Annotated[int, typer.Option] = 5, - thread_count: Annotated[int, typer.Option] = 0, - memory_limit_for_1_thread: Annotated[ - int, - typer.Option( - help="Compute by formula ((desired heap size in GiB) * 2**30 / (88+16) / 1.2), default for 128 GiB machines" - ), - ] = 1032444062, -): - print("*** Making inpla ***") - make_inpla(inpla_path) - print("") - if check: - print("*** Checking inpla ***") - check_inpla(inpla_path, inpla_bench_path) - print("") - - with open(matrices_spec_path, "r", encoding="utf-8") as m_file: - matrices: list[BenchMatrix] = yaml.safe_load(m_file) - enabled_matrices = filter(lambda matrix: matrix["enabled"], matrices) - inpla_matrices = list( - filter(lambda matrix: "inpla" in matrix["tools"], enabled_matrices) - ) - - print("*** Converting matrices for inpla ***") - convert_matrices_to_inpla(inpla_matrices, matrices_path, inpla_bench_path) - print("") - - print("*** Running experiments ***") - results = run_experiments( - inpla_path, - inpla_bench_path, - run_count, - thread_count, - inpla_matrices, - memory_limit_for_1_thread, - ) - print("") - - print("*** Writing results ***") - raw_results_path.mkdir(parents=True, exist_ok=True) - results_path = raw_results_path / ( - datetime.now().astimezone().isoformat(timespec="minutes") + "_inpla.json" - ) - with open(results_path, "w", encoding="utf-8") as r_file: - json.dump(results, r_file) - print("Wrote to", str(results_path)) - - -if __name__ == "__main__": - typer.run(main) diff --git a/src/benchmark/__init__.py b/src/benchmark/__init__.py index 9e8e643..dc601c9 100644 --- a/src/benchmark/__init__.py +++ b/src/benchmark/__init__.py @@ -3,9 +3,11 @@ from .lagraph import app as lagraph_app from .fsharp import app as fsharp_app from .networkx import app as networkx_app +from .inpla import app as inpla_app app = typer.Typer(no_args_is_help=True) app.add_typer(lagraph_app) app.add_typer(fsharp_app) app.add_typer(networkx_app) +app.add_typer(inpla_app) diff --git a/src/benchmark/inpla.py b/src/benchmark/inpla.py new file mode 100644 index 0000000..f852adf --- /dev/null +++ b/src/benchmark/inpla.py @@ -0,0 +1,137 @@ +import logging +from pathlib import Path +import resource +import subprocess +from typing import Annotated + +import typer + + +from ..common import ( + Matrix, + Tool, + comma_separated_str_to_int_list, + get_enabled_matrices_for_tool, + get_matrix_filename_in, + get_matrix_filename_mtx, + run_benchmarks, + write_results, +) +from ..type_aliases import DirPathOption, FilePathOption + +app = typer.Typer() +log = logging.getLogger("rich") + + +def make_inpla(inpla_path: Path) -> None: + subprocess.run(["make", "clean"], cwd=inpla_path, check=True) + subprocess.run(["make"], cwd=inpla_path, check=True) + subprocess.run(["make", "clean"], cwd=inpla_path, check=True) + subprocess.run(["make", "thread"], cwd=inpla_path, check=True) + + +def check_inpla(inpla_path: Path, inpla_bench_path: Path) -> None: + subprocess.run( + ["dotnet", "fsi", "test.fsx", inpla_path / "inpla"], + cwd=inpla_bench_path, + check=True, + ) + + +def convert_matrices_to_inpla( + inpla_matrices: list[Matrix], + matrices_path: Path, + inpla_bench_path: Path, +) -> None: + for matrix in inpla_matrices: + subprocess.run( + [ + Path("scripts") / "mtx_to_experiment.fsx", + matrices_path / get_matrix_filename_mtx(matrix), + matrix.algorithm, + ], + cwd=inpla_bench_path, + check=True, + ) + + +def run_inpla( + matrix: Matrix, + thread_count: int, + *, + inpla_path: Path, + inpla_bench_path: Path, + memory_limit_for_1_thread: int, +) -> subprocess.CompletedProcess[str]: + resource.setrlimit( + resource.RLIMIT_STACK, (resource.RLIM_INFINITY, resource.RLIM_INFINITY) + ) + matrix_path = ( + inpla_bench_path + / ("experiments_" + matrix.algorithm) + / get_matrix_filename_in(matrix) + ) + return subprocess.run( + [ + inpla_path / "inpla", + "-t", + str(thread_count), + "-f", + matrix_path, + "-Xms", + str(memory_limit_for_1_thread // thread_count), + ], + cwd=inpla_bench_path, + capture_output=True, + text=True, + ) + + +@app.command() +def inpla( + matrices_spec_path: FilePathOption = Path("matrices.yaml"), + matrices_path: DirPathOption = Path("matrices"), + inpla_path: DirPathOption = Path("dependencies") / "inpla", + inpla_bench_path: DirPathOption = Path("tools") / "QTreeInpla", + raw_results_path: DirPathOption = Path("results") / "raw", + check: Annotated[bool, typer.Option()] = False, + run_count: Annotated[int, typer.Option] = 5, + thread_counts: Annotated[str | None, typer.Option()] = None, + memory_limit_for_1_thread: Annotated[ + int, + typer.Option( + help="Compute by formula ((desired heap size in GiB) * 2**30 / (88+16) / 1.2), default for 128 GiB machines" + ), + ] = 1032444062, +): + logging.info("Building inpla") + make_inpla(inpla_path) + logging.info("Successfully built inpla") + + if check: + logging.info("Checking inpla") + check_inpla(inpla_path, inpla_bench_path) + logging.info("Successfully checked inpla") + + matrices = get_enabled_matrices_for_tool(matrices_spec_path, Tool.INPLA) + + logging.info("Converting matrices for inpla") + convert_matrices_to_inpla(matrices, matrices_path, inpla_bench_path) + + # parser doesn't work + # see https://github.com/fastapi/typer/discussions/1393 + thread_counts_t = comma_separated_str_to_int_list(thread_counts) + logging.info( + "Starting inpla benchmarks with thread counts: %s", + thread_counts_t, + ) + results = run_benchmarks( + matrices, + thread_counts_t, + run_count, + run_inpla, + inpla_path=inpla_path, + inpla_bench_path=inpla_bench_path, + memory_limit_for_1_thread=memory_limit_for_1_thread, + ) + write_results(results, raw_results_path, Tool.INPLA) diff --git a/src/common.py b/src/common.py index 448a9a1..eded1a8 100644 --- a/src/common.py +++ b/src/common.py @@ -72,6 +72,10 @@ def get_matrix_filename_mtx(matrix: Matrix) -> str: return get_matrix_base_name(matrix) + ".mtx" +def get_matrix_filename_in(matrix: Matrix) -> str: + return get_matrix_base_name(matrix) + ".in" + + def comma_separated_str_to_int_list(str: str | None) -> list[int] | None: if str is None: return None