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mkl in pytorch actually uses multiple cores..
So maybe not all that helpful to parallelize over cores.
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.github/workflows/ci.yml

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@@ -80,7 +80,7 @@ jobs:
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run: >-
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pipx run --python '${{ steps.setup-python.outputs.python-path }}'
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tox --installpkg '${{ needs.prepare.outputs.wheel-distribution }}'
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-- -rFEx --durations 10 --color yes -n auto # pytest args
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-- -rFEx --durations 10 --color yes # pytest args
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# - name: Generate coverage report
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# run: pipx run coverage lcov -o coverage.lcov
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# - name: Upload partial coverage report

tox.ini

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testing
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deps =
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pytest
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pytest-xdist
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commands =
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pytest {posargs}
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