TST Remove test functions defined twice (scikit-learn#15220)

Author: deeplook

sklearn/preprocessing/tests/test_encoders.py

@@ -382,47 +382,6 @@ def test_one_hot_encoder_pandas():
     assert_allclose(Xtr, [[1, 0, 1, 0], [0, 1, 0, 1]])
 
 
-def test_one_hot_encoder_feature_names():
-    enc = OneHotEncoder()
-    X = [['Male', 1, 'girl', 2, 3],
-         ['Female', 41, 'girl', 1, 10],
-         ['Male', 51, 'boy', 12, 3],
-         ['Male', 91, 'girl', 21, 30]]
-
-    enc.fit(X)
-    feature_names = enc.get_feature_names()
-    assert isinstance(feature_names, np.ndarray)
-
-    assert_array_equal(['x0_Female', 'x0_Male',
-                        'x1_1', 'x1_41', 'x1_51', 'x1_91',
-                        'x2_boy', 'x2_girl',
-                        'x3_1', 'x3_2', 'x3_12', 'x3_21',
-                        'x4_3',
-                        'x4_10', 'x4_30'], feature_names)
-
-    feature_names2 = enc.get_feature_names(['one', 'two',
-                                            'three', 'four', 'five'])
-
-    assert_array_equal(['one_Female', 'one_Male',
-                        'two_1', 'two_41', 'two_51', 'two_91',
-                        'three_boy', 'three_girl',
-                        'four_1', 'four_2', 'four_12', 'four_21',
-                        'five_3', 'five_10', 'five_30'], feature_names2)
-
-    with pytest.raises(ValueError, match="input_features should have length"):
-        enc.get_feature_names(['one', 'two'])
-
-
-def test_one_hot_encoder_feature_names_unicode():
-    enc = OneHotEncoder()
-    X = np.array([['c❤t1', 'dat2']], dtype=object).T
-    enc.fit(X)
-    feature_names = enc.get_feature_names()
-    assert_array_equal(['x0_c❤t1', 'x0_dat2'], feature_names)
-    feature_names = enc.get_feature_names(input_features=['n👍me'])
-    assert_array_equal(['n👍me_c❤t1', 'n👍me_dat2'], feature_names)
-
-
 @pytest.mark.parametrize("drop, expected_names",
                          [('first', ['x0_c', 'x2_b']),
                           (['c', 2, 'b'], ['x0_b', 'x2_a'])],