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sklearn/cluster/_bicluster.py

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@@ -624,4 +624,4 @@ def _project_and_cluster(self, data, vectors, n_clusters):
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"""Project ``data`` to ``vectors`` and cluster the result."""
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projected = safe_sparse_dot(data, vectors)
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_, labels = self._k_means(projected, n_clusters)
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return labels
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return labels

sklearn/cluster/tests/test_bicluster.py

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@@ -289,4 +289,4 @@ def test_n_features_in_(est):
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assert not hasattr(est, "n_features_in_")
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est.fit(X)
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assert est.n_features_in_ == 3
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assert est.n_features_in_ == 3

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