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How to use test_field_schema_dtypes method in pandera

Best Python code snippet using pandera_python

test_schemas_on_koalas.py

Source:test_schemas_on_koalas.py

...134@pytest.mark.parametrize("dtype_cls", DTYPES)135@pytest.mark.parametrize("coerce", [True, False])136@pytest.mark.parametrize("schema_cls", [pa.SeriesSchema, pa.Column])137@hypothesis.given(st.data())138def test_field_schema_dtypes(139    dtype_cls: pandas_engine.DataType,140    coerce: bool,141    schema_cls,142    data: st.DataObject,143):144    """145    Test that all supported koalas data types work as expected for series.146    """147    if dtype_cls in UNSUPPORTED_STRATEGY_DTYPE_CLS:148        pytest.skip(149            f"type {dtype_cls} currently not supported by the strategies "150            "module"151        )152    schema = schema_cls(dtype_cls, name="field")...

test_schemas_on_modin.py

Source:test_schemas_on_modin.py

...113@pytest.mark.parametrize("dtype_cls", TEST_DTYPES_ON_MODIN)114@pytest.mark.parametrize("coerce", [True, False])115@pytest.mark.parametrize("schema_cls", [pa.SeriesSchema, pa.Column])116@hypothesis.given(st.data())117def test_field_schema_dtypes(118    dtype_cls: pandas_engine.DataType,119    coerce: bool,120    schema_cls,121    data: st.DataObject,122):123    """124    Test that all supported modin data types work as expected for series.125    """126    schema = schema_cls(dtype_cls, name="field", coerce=coerce)127    _test_datatype_with_schema(schema, data)128@pytest.mark.parametrize(129    "dtype",130    [131        int,...

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