Uploaded Test files

venv/Lib/site-packages/sklearn/metrics/cluster/tests/test_bicluster.py

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+"""Testing for bicluster metrics module"""
+
+import numpy as np
+
+from sklearn.utils._testing import assert_almost_equal
+
+from sklearn.metrics.cluster._bicluster import _jaccard
+from sklearn.metrics import consensus_score
+
+
+def test_jaccard():
+    a1 = np.array([True, True, False, False])
+    a2 = np.array([True, True, True, True])
+    a3 = np.array([False, True, True, False])
+    a4 = np.array([False, False, True, True])
+
+    assert _jaccard(a1, a1, a1, a1) == 1
+    assert _jaccard(a1, a1, a2, a2) == 0.25
+    assert _jaccard(a1, a1, a3, a3) == 1.0 / 7
+    assert _jaccard(a1, a1, a4, a4) == 0
+
+
+def test_consensus_score():
+    a = [[True, True, False, False],
+         [False, False, True, True]]
+    b = a[::-1]
+
+    assert consensus_score((a, a), (a, a)) == 1
+    assert consensus_score((a, a), (b, b)) == 1
+    assert consensus_score((a, b), (a, b)) == 1
+    assert consensus_score((a, b), (b, a)) == 1
+
+    assert consensus_score((a, a), (b, a)) == 0
+    assert consensus_score((a, a), (a, b)) == 0
+    assert consensus_score((b, b), (a, b)) == 0
+    assert consensus_score((b, b), (b, a)) == 0
+
+
+def test_consensus_score_issue2445():
+    ''' Different number of biclusters in A and B'''
+    a_rows = np.array([[True, True, False, False],
+                       [False, False, True, True],
+                       [False, False, False, True]])
+    a_cols = np.array([[True, True, False, False],
+                       [False, False, True, True],
+                       [False, False, False, True]])
+    idx = [0, 2]
+    s = consensus_score((a_rows, a_cols), (a_rows[idx], a_cols[idx]))
+    # B contains 2 of the 3 biclusters in A, so score should be 2/3
+    assert_almost_equal(s, 2.0/3.0)