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How to use test_numpy_dtypes method in pandera

Best Python code snippet using pandera_python

test_find_common_type.py

Source:test_find_common_type.py

...55        ((np.dtype("datetime64[ns]"), np.dtype("timedelta64[ns]")), object),56        ((np.dtype("datetime64[ns]"), np.int64), object),57    ],58)59def test_numpy_dtypes(source_dtypes, expected_common_dtype):60    assert find_common_type(source_dtypes) == expected_common_dtype61def test_raises_empty_input():62    with pytest.raises(ValueError, match="no types given"):63        find_common_type([])64@pytest.mark.parametrize(65    "dtypes,exp_type",66    [67        ([CategoricalDtype()], "category"),68        ([object, CategoricalDtype()], object),69        ([CategoricalDtype(), CategoricalDtype()], "category"),70    ],71)72def test_categorical_dtype(dtypes, exp_type):73    assert find_common_type(dtypes) == exp_type...

test_find_common_type.pyi

Source:test_find_common_type.pyi

2#3# NOTE: This dynamically typed stub was automatically generated by stubgen.4# pylint: disable=unused-argument5from typing import Any6def test_numpy_dtypes(source_dtypes: Any, expected_common_dtype: Any) -> None:7    ...8def test_raises_empty_input() -> None:9    ...10def test_categorical_dtype(dtypes: Any, exp_type: Any) -> None:11    ...12def test_datetimetz_dtype_match() -> None:13    ...14def test_datetimetz_dtype_mismatch(dtype2: Any) -> None:15    ...16def test_period_dtype_match() -> None:17    ...18def test_period_dtype_mismatch(dtype2: Any) -> None:...

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