8000 MNT Use assert_no_warnings from numpy.testing by thomasjpfan · Pull Request #27031 · scikit-learn/scikit-learn · GitHub
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MNT Use assert_no_warnings from numpy.testing #27031

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Merged
merged 2 commits into from
Aug 9, 2023
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MNT Use assert_no_warnings from numpy.testing #27031

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MNT Use assert_no_warnings from numpy.testing
thomasjpfan Aug 7, 2023
1193948
Merge remote-tracking branch 'upstream/main' into import_from_numpy_d…
thomasjpfan Aug 9, 2023
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30 changes: 3 additions & 27 deletions sklearn/utils/_testing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -38,6 +38,7 @@
assert_array_almost_equal,
assert_array_equal,
assert_array_less,
assert_no_warnings,
)

import sklearn
Expand All @@ -47,7 +48,7 @@
_in_unstable_openblas_configuration,
)
from sklearn.utils._array_api import _check_array_api_dispatch
from sklearn.utils.fixes import VisibleDeprecationWarning, threadpool_info
from sklearn.utils.fixes import threadpool_info
from sklearn.utils.multiclass import check_classification_targets
from sklearn.utils.validation import (
check_array,
Expand All @@ -65,6 +66,7 @@
"assert_approx_equal",
"assert_allclose",
"assert_run_python_script",
"assert_no_warnings",
"SkipTest",
]

Expand All @@ -80,32 +82,6 @@
assert_raises_regexp = assert_raises_regex


# To remove when we support numpy 1.7
def assert_no_warnings(func, *args, **kw):
"""
Parameters
----------
func
*args
**kw
"""
# very important to avoid uncontrolled state propagation
with warnings.catch_warnings(record=True) as w:
warnings.simplefilter("always")

result = func(*args, **kw)
if hasattr(np, "FutureWarning"):
# Filter out numpy-specific warnings in numpy >= 1.9
w = [e for e in w if e.category is not VisibleDeprecationWarning]

if len(w) > 0:
raise AssertionError(
"Got warnings when calling %s: [%s]"
% (func.__name__, ", ".join(str(warning) for warning in w))
)
return result


def ignore_warnings(obj=None, category=Warning):
"""Context manager 43F4 and decorator to ignore warnings.

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