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Use pytest instead of assert_warns/assert_no_warnings in sklearn/semi_supervised/tests. #19510

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Merged
merged 1 commit into from
Feb 25, 2021
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Use pytest instead of assert_warns/assert_no_warnings in sklearn/semi_supervised/tests. #19510

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21 changes: 14 additions & 7 deletions sklearn/semi_supervised/tests/test_label_propagation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,6 @@
import pytest

from scipy.sparse import issparse
from sklearn.utils._testing import assert_warns
from sklearn.utils._testing import assert_no_warnings
from sklearn.semi_supervised import _label_propagation as label_propagation
from sklearn.metrics.pairwise import rbf_kernel
from sklearn.model_selection import train_test_split
Expand Down Expand Up @@ -143,18 +141,25 @@ def test_convergence_warning():
X = np.array([[1., 0.], [0., 1.], [1., 2.5]])
y = np.array([0, 1, -1])
mdl = label_propagation.LabelSpreading(kernel='rbf', max_iter=1)
assert_warns(ConvergenceWarning, mdl.fit, X, y)
warn_msg = ('max_iter=1 was reached without convergence.')
with pytest.warns(ConvergenceWarning, match=warn_msg):
mdl.fit(X, y)
assert mdl.n_iter_ == mdl.max_iter

mdl = label_propagation.LabelPropagation(kernel='rbf', max_iter=1)
assert_warns(ConvergenceWarning, mdl.fit, X, y)
with pytest.warns(ConvergenceWarning, match=warn_msg):
mdl.fit(X, y)
assert mdl.n_iter_ == mdl.max_iter

mdl = label_propagation.LabelSpreading(kernel='rbf', max_iter=500)
assert_no_warnings(mdl.fit, X, y)
with pytest.warns(None) as record:
mdl.fit(X, y)
assert len(record) == 0

mdl = label_propagation.LabelPropagation(kernel='rbf', max_iter=500)
assert_no_warnings(mdl.fit, X, y)
with pytest.warns(None) as record:
mdl.fit(X, y)
assert len(record) == 0


@pytest.mark.parametrize("LabelPropagationCls",
Expand All @@ -170,7 +175,9 @@ def test_label_propagation_non_zero_normalizer(LabelPropagationCls):
mdl = LabelPropagationCls(kernel='knn',
max_iter=100,
n_neighbors=1)
assert_no_warnings(mdl.fit, X, y)
with pytest.warns(None) as record:
mdl.fit(X, y)
assert len(record) == 0


def test_predict_sparse_callable_kernel():
Expand Down