Best Python code snippet using pandera_python
test_purity.py
Source:test_purity.py
...93 self.test_obj.check_groups = mock.Mock(return_value=69)94 self.test_obj.check_relations(g_df, relations)95 self.test_obj.check_groups.assert_called_with(g_df, 'text_id',96 [1, 2, 3])97 def test_check_groups(self):98 g_df = tu.sample_group_df()99 g_df.columns = ['text_id']100 self.test_obj.check_group = mock.Mock()101 self.test_obj.check_group.side_effect = [77, 88]102 result = self.test_obj.check_groups(g_df, 'text_id', [1, 2])103 self.assertTrue(self.test_obj.check_group.call_count == 2)104 self.assertTrue(result == 165)105 def test_check_group(self):106 g_df = tu.sample_df(10)107 g_df['label'] = [1, 1, 1, 1, 0, 1, 0, 1, 0, 1]108 result = self.test_obj.check_group(g_df)109 self.assertTrue(np.array_equal(np.isclose([result], [3.0]), [True]))110def test_suite():111 suite = unittest.TestLoader().loadTestsFromTestCase(PurityTestCase)...
test_utils.py
Source:test_utils.py
...16 assert output == reference # nosec17def test_stringify_sequence_error():18 with pytest.raises(TypeError):19 _stringify_sequence(0)20def test_check_groups():21 X, y, groups_in = make_group_regression()22 _, n_features = X.shape23 groups_out = check_groups(groups=groups_in, X=X)24 assert groups_out == tuple(groups_in)25 # Test the groups=None defaults26 groups_out = check_groups(groups=None, X=X, fit_intercept=False)27 assert_array_almost_equal(groups_out, [np.arange(n_features)])28 groups_out = check_groups(groups=None, X=X, fit_intercept=True)29 assert_array_almost_equal(groups_out, [np.arange(n_features - 1)])30 # Test Value error on missing features in groups31 with pytest.raises(ValueError):32 check_groups(groups=groups_in[1:], X=X)33 # Test Value error on missing groups in features34 with pytest.raises(ValueError):...
test_it.py
Source:test_it.py
...7abcz8"""9 self.assertEqual(6, groups.count_questions(code))10 11 def test_check_groups(self):12 code = """abc13a14b15c16ab17ac18a19a20a21a22b23"""24 self.assertEqual(11, groups.total_yes(code))25 ...
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