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GeezerVison is showing github.com — python-graphblas/asv.conf.json at 50-tensor · python-graphblas/python-graphblas

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{
// asv (airspeed velocity) config for python-graphblas.
//
// Placement: this file and the benchmarks/ directory are intended to live at the
// repo root (next to pyproject.toml). The paths below are relative to that root.
// asv's config loader strips these // line comments; a strict JSON linter will
// not. If the repo's pre-commit `check-json` hook is enabled, exclude this file
// (asv.conf.json is asv's own format, and its docs use // comments).
//
// Typical use:
// asv run # benchmark current commit
// asv continuous main HEAD # compare a branch against main
// asv publish && asv preview # build/serve the HTML report
"version": 1,
"project": "python-graphblas",
"project_url": "https://github.com/python-graphblas/python-graphblas",
// "." means the repo that contains this file. python-graphblas is pure Python, so
// building each commit is a cheap editable install; the C library comes from the
// separate suitesparse-graphblas package, pinned in the matrix below.
"repo": ".",
"branches": ["main"],
"dvcs": "git",
// conda matches the project's primary dev path and lets us pin the C library
// cleanly from conda-forge. asv will use mamba automatically if it is installed.
"environment_type": "conda",
"conda_channels": ["conda-forge"],
// PINNING NOTE: python-suitesparse-graphblas (the C library) is pinned so a run
// measures python-graphblas-side regressions in isolation. To instead track
// end-to-end performance including C-library changes, drop the pin (set it to [])
// or bump it deliberately. Keep this in sync with the PSG version the suite is
// calibrated against (see scripts/ci_pick_versions.py PSG pools).
"matrix": {
"req": {
"python-suitesparse-graphblas": ["10.3.1.0"],
"numpy": [],
"scipy": [],
"pandas": [],
"numba": []
}
},
// python-graphblas is pure Python: a no-build-isolation editable install is fast
// and reuses the already-solved conda env (which supplies the C library plus
// numba/scipy/pandas). asv substitutes {build_dir} for the checkout of each commit.
"build_command": [],
"install_command": [
"in-dir={build_dir} python -m pip install --no-build-isolation --no-deps -e ."
],
"uninstall_command": [
"in-dir={build_dir} python -m pip uninstall -y python-graphblas"
],
"benchmark_dir": "benchmarks",
"env_dir": ".asv/env",
"results_dir": ".asv/results",
"html_dir": ".asv/html",
// Give the C-library install room to solve/download.
"install_timeout": 900,
// Isolate JIT/compiler and thread-count noise so numbers are comparable across
// runs. GraphBLAS is multithreaded by default; pin to 1 thread for reproducible
// single-core timings (raise this in a dedicated run if you want to benchmark
// parallel scaling instead).
"environment_variables": {
"OMP_NUM_THREADS": "1",
"GRAPHBLAS_TEST_SEED": "0"
}
}
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