コード例 #1
0
ファイル: test_table.py プロジェクト: csala/SDV
    def test__validate_data_on_constraints_missing_cols(self):
        """Test the ``Table._validate_data_on_constraints`` method.

        Expect that the method returns True when the constraint columns are not
        in the given data.

        Input:
        - Table data that is missing a constraint column
        Output:
        - None
        Side Effects:
        - No error
        """
        # Setup
        data = pd.DataFrame({'a': [0, 1, 2], 'b': [3, 4, 5]}, index=[0, 1, 2])
        constraint_mock = Mock()
        constraint_mock.constraint_columns = ['a', 'b', 'c']
        table_mock = Mock()
        table_mock._constraints = [constraint_mock]

        # Run
        result = Table._validate_data_on_constraints(table_mock, data)

        # Assert
        assert result is None
コード例 #2
0
ファイル: test_table.py プロジェクト: csala/SDV
    def test__validate_data_on_constraints(self):
        """Test the ``Table._validate_data_on_constraints`` method.

        Expect that the method returns True when the constraint columns are in the given data,
        and the constraint.is_valid method returns True.

        Input:
        - Table data
        Output:
        - None
        Side Effects:
        - No error
        """
        # Setup
        data = pd.DataFrame({'a': [0, 1, 2], 'b': [3, 4, 5]}, index=[0, 1, 2])
        constraint_mock = Mock()
        constraint_mock.is_valid.return_value = pd.Series([True, True, True])
        constraint_mock.constraint_columns = ['a', 'b']
        table_mock = Mock()
        table_mock._constraints = [constraint_mock]

        # Run
        result = Table._validate_data_on_constraints(table_mock, data)

        # Assert
        assert result is None
コード例 #3
0
ファイル: test_table.py プロジェクト: csala/SDV
    def test__validate_data_on_constraints_invalid_input(self):
        """Test the ``Table._validate_data_on_constraints`` method.

        Expect that the method returns False when the constraint columns are in the given data,
        and the constraint.is_valid method returns False for any row.

        Input:
        - Table data contains an invalid row
        Output:
        - None
        Side Effects:
        - A ConstraintsNotMetError is thrown
        """
        # Setup
        data = pd.DataFrame({'a': [0, 1, 2], 'b': [3, 4, 5]}, index=[0, 1, 2])
        constraint_mock = Mock()
        constraint_mock.is_valid.return_value = pd.Series([True, False, True])
        constraint_mock.constraint_columns = ['a', 'b']
        table_mock = Mock()
        table_mock._constraints = [constraint_mock]

        # Run and assert
        with pytest.raises(ConstraintsNotMetError):
            Table._validate_data_on_constraints(table_mock, data)