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pyproject.toml

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@@ -4,10 +4,6 @@ requires = [
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"setuptools",
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"wheel",
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"Cython>=0.28.5",
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# use oldest-supported-numpy which provides the oldest numpy version with
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# wheels on PyPI
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#
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# see: https://github.com/scipy/oldest-supported-numpy/blob/master/setup.cfg
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"numpy"
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]
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sklearn_extra/cluster/tests/test_k_medoids.py

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@@ -409,7 +409,6 @@ def test_seuclidean():
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km.fit(np.array([0, 0, 0, 1]).reshape((4, 1)))
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km.predict(np.array([0, 0, 0, 1]).reshape((4, 1)))
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km.transform(np.array([0, 0, 0, 1]).reshape((4, 1)))
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assert len(record) == 0
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def test_medoids_indices():

sklearn_extra/robust/tests/test_mean_estimators.py

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@@ -26,5 +26,4 @@ def test_mom():
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def test_huber():
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X = np.hstack([np.zeros(90), np.ones(10)])
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mu = huber(X, c=0.5)
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assert len(record) == 0
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assert np.abs(mu) < 0.1

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