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