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How to use test_ignore_mutable_arg method in pandera

Best Python code snippet using pandera_python

test_checks_builtin.py

Source:test_checks_builtin.py

...571    def test_failing_with_none(values, allowed):572        """Validate the check works also on dataframes with None values"""573        check_none_failures(values, Check.isin(allowed, ignore_na=False))574    @staticmethod575    def test_ignore_mutable_arg():576        """577        Check if a mutable argument passed by reference can be changed from578        outside579        """580        series_values = (1, 1)581        df = pd.DataFrame({"allowed": (1, 2)})582        check = Check.isin(df["allowed"])583        # Up to here the test should succeed584        check_values(series_values, check, {})585        # When the Series with the allowed values is changed it should still586        # succeed587        df["allowed"] = 2588        check_values(series_values, check, {})589class TestNotin:590    """Tests for Check.notin"""591    @staticmethod592    @pytest.mark.parametrize(593        "args",594        [595            (1,),  # Not Iterable596            (None,),  # None should also not be accepted597        ],598    )599    def test_argument_check(args):600        """Test invalid arguments"""601        with pytest.raises(ValueError):602            Check.notin(*args)603    @staticmethod604    @pytest.mark.parametrize(605        "series_values, forbidden",606        [607            ((1, 1), (2, 3)),608            ((-1, -1, -1), {-2, 1}),609            ((-1, -1, -1), pd.Series((-2, 1))),610            (611                (pd.Timestamp("2015-02-01"), pd.Timestamp("2015-02-01")),612                [pd.Timestamp("2015-02-02")],613            ),614            (("foo", "foo"), {"foobar", "bar"}),615            (("f", "o"), "bar"),616        ],617    )618    def test_succeeding(series_values, forbidden):619        """Run checks which should succeed"""620        check_values(series_values, Check.notin(forbidden), {})621    @staticmethod622    @pytest.mark.parametrize(623        "series_values, forbidden, failure_cases",624        [625            ((1, 2), [2], {2}),626            ((-1, -2, 3), (-2, -3), {-2}),627            ((-1, -2, 3), pd.Series((-2, 3)), {-2, 3}),628            (629                (pd.Timestamp("2015-02-01"), pd.Timestamp("2015-02-02")),630                {pd.Timestamp("2015-02-01")},631                {pd.Timestamp("2015-02-01")},632            ),633            (("foo", "bar"), {"foo"}, {"foo"}),634            (("foo", "f"), "foobar", {"f"}),635        ],636    )637    def test_failing(series_values, forbidden, failure_cases):638        """Run checks which should fail"""639        check_values(series_values, Check.notin(forbidden), failure_cases)640        check_raise_error_or_warning(series_values, Check.notin(forbidden))641    @staticmethod642    def test_ignore_mutable_arg():643        """644        Check if a mutable argument passed by reference can be changed from645        outside646        """647        series_values = (1, 1)648        df = pd.DataFrame({"forbidden": (0, 2)})649        check = Check.notin(df["forbidden"])650        # Up to here the test should succeed651        check_values(series_values, check, {})652        # When the Series with the allowed values is changed it should still653        # succeed654        df["forbidden"] = 1655        check_values(series_values, check, {})656class TestStrMatches:...

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