forked from 170010011/fr
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
import os
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import pytest
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import textwrap
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from sklearn import __version__
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from sklearn.utils._openmp_helpers import _openmp_parallelism_enabled
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def test_openmp_parallelism_enabled():
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# Check that sklearn is built with OpenMP-based parallelism enabled.
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# This test can be skipped by setting the environment variable
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# ``SKLEARN_SKIP_OPENMP_TEST``.
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if os.getenv("SKLEARN_SKIP_OPENMP_TEST"):
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pytest.skip("test explicitly skipped (SKLEARN_SKIP_OPENMP_TEST)")
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base_url = "dev" if __version__.endswith(".dev0") else "stable"
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err_msg = textwrap.dedent(
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"""
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This test fails because scikit-learn has been built without OpenMP.
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This is not recommended since some estimators will run in sequential
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mode instead of leveraging thread-based parallelism.
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You can find instructions to build scikit-learn with OpenMP at this
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address:
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https://scikit-learn.org/{}/developers/advanced_installation.html
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You can skip this test by setting the environment variable
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SKLEARN_SKIP_OPENMP_TEST to any value.
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""").format(base_url)
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assert _openmp_parallelism_enabled(), err_msg
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