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TST Change function names in metrics/cluster/tests/test_unsupervised.py #20065

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TST Change function names in metrics/cluster/tests/test_unsupervised.py #20065

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17 changes: 9 additions & 8 deletions sklearn/metrics/cluster/tests/test_unsupervised.py
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Original file line number Diff line number Diff line change
Expand Up @@ -184,24 +184,25 @@ def test_silhouette_nonzero_diag(dtype):
silhouette_samples(dists, labels, metric='precomputed')


def assert_raises_on_only_one_label(func):
"""Assert message when there is only one label"""
def raise_exception_on_only_one_label(func):
"""Raise exception when there is only one label"""
rng = np.random.RandomState(seed=0)
with pytest.raises(ValueError, match="Number of labels is"):
func(rng.rand(10, 2), np.zeros(10))


def assert_raises_on_all_points_same_cluster(func):
"""Assert message when all point are in different clusters"""
def raise_exception_on_all_points_in_different_clusters(func):
"""Raise exception when all points are in different clusters"""
rng = np.random.RandomState(seed=0)
with pytest.raises(ValueError, match="Number of labels is"):
func(rng.rand(10, 2), np.arange(10))


def test_calinski_harabasz_score():
assert_raises_on_only_one_label(calinski_harabasz_score)
raise_exception_on_only_one_label(calinski_harabasz_score)

assert_raises_on_all_points_same_cluster(calinski_harabasz_score)
raise_exception_on_all_points_in_different_clusters(
calinski_harabasz_score)

# Assert the value is 1. when all samples are equals
assert 1. == calinski_harabasz_score(np.ones((10, 2)),
Expand All @@ -220,8 +221,8 @@ def test_calinski_harabasz_score():


def test_davies_bouldin_score():
assert_raises_on_only_one_label(davies_bouldin_score)
assert_raises_on_all_points_same_cluster(davies_bouldin_score)
raise_exception_on_only_one_label(davies_bouldin_score)
raise_exception_on_all_points_in_different_clusters(davies_bouldin_score)

# Assert the value is 0. when all samples are equals
assert davies_bouldin_score(np.ones((10, 2)),
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