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How to use test_is_timedelta method in pandera

Best Python code snippet using pandera_python

test_inference.pyi

Source:test_inference.pyi

...157    def test_is_float(self) -> None:158        ...159    def test_is_datetime_dtypes(self) -> None:160        ...161    def test_is_timedelta(self) -> None:162        ...163class TestIsScalar:164    def test_is_scalar_builtin_scalars(self) -> None:165        ...166    def test_is_scalar_builtin_nonscalars(self) -> None:167        ...168    def test_is_scalar_numpy_array_scalars(self) -> None:169        ...170    def test_is_scalar_numpy_zerodim_arrays(self) -> None:171        ...172    def test_is_scalar_numpy_arrays(self) -> None:173        ...174    def test_is_scalar_pandas_scalars(self) -> None:175        ......

generic_validators_test.py

Source:generic_validators_test.py

1from python_json_config.validators import is_timedelta, is_valid_choice2def test_is_timedelta():3    valid_timedeltas = ["1:3:24:30:23", "0:0:1", "0:0:0:0:1", "01:02:02:03:04"]4    invalid_timedeltas = ["1:3:24:30:23:45", "01:a:02:03:04"]5    for timedelta in valid_timedeltas:6        assert is_timedelta(timedelta)7    assert is_timedelta(invalid_timedeltas[0]) == (False, "Timedelta contains more than 5 elements.")8    assert is_timedelta(invalid_timedeltas[1]) == (False, "Timedelta contains non-integer elements.")9def test_is_valid_choice():10    list_options = [1, 2, "3"]11    list_validator = is_valid_choice(list_options)12    assert list_validator(1)13    assert list_validator(3) == (False, f"Value is not contained in the options {list_options}")14    assert list_validator("3")15    assert list_validator(4) == (False, f"Value is not contained in the options {list_options}")16    dict_options = {1: "2", "3": 4}...

test_encoders.py

Source:test_encoders.py

...10        """11        a_datetime = datetime(1, 1, 1)12        actual = json.dumps(a_datetime, cls=DateTimeEncoder)13        self.assertEqual(json.dumps(str(a_datetime)), actual)14    def test_is_timedelta(self):15        """Ensure that if a timedelta object is passed, the stringified version16        of that timedelta is returned.17        """18        a_timedelta = timedelta(1, 1)19        actual = json.dumps(a_timedelta, cls=DateTimeEncoder)20        self.assertEqual(json.dumps(str(a_timedelta)), actual)21    def test_not_datetime_or_timedelta(self):22        """Ensure that if an object other than datetime or timedelta is passed,23        a TypeError is raised.24        """25        an_object = 'name'26        encoder = DateTimeEncoder()...

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