8000 Use LOKY_MAX_CPU_COUNT and python -m pytest · scikit-learn/scikit-learn@8e31357 · GitHub
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Use LOKY_MAX_CPU_COUNT and python -m pytest
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‎build_tools/circle/build_test_pypy.sh

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@@ -24,8 +24,10 @@ pip install "scipy>=1.1.0" sphinx numpydoc docutils pytest-xdist
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ccache -M 512M
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export CCACHE_COMPRESS=1
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export PATH=/usr/lib/ccache:$PATH
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export LOKY_MAX_CPU_COUNT="2"
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pip install -vv -e .
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pytest -n 1 sklearn/
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make test-sphinxext test-doc
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python -m pytest -n 1 sklearn/
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python -m pytest doc/sphinxext/
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python -m pytest $(find doc -name '*.rst' | sort)

‎sklearn/tests/test_multioutput.py

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@@ -14,7 +14,6 @@
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from sklearn.utils.testing import assert_greater
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from sklearn.utils.testing import assert_not_equal
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from sklearn.utils.testing import assert_array_almost_equal
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from sklearn.utils.testing import fails_if_pypy
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from sklearn import datasets
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from sklearn.base import clone
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from sklearn.datasets import make_classification
@@ -163,7 +162,6 @@ def test_multi_target_sample_weights():
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classes = list(map(np.unique, (y1, y2, y3)))
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@fails_if_pypy # FIXME
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def test_multi_output_classification_partial_fit_parallelism():
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sgd_linear_clf = SGDClassifier(loss='log', random_state=1, max_iter=5)
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mor = MultiOutputClassifier(sgd_linear_clf, n_jobs=-1)

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