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How to use _check_source_dtype method in pandera

Best Python code snippet using pandera_python

engine.py

Source:engine.py

...58        def dtype(data_type: Any) -> DataType:59            raise ValueError(f"Data type '{data_type}' not understood")60        cls._registry[engine] = _DtypeRegistry(dispatch=dtype, equivalents={})61        return engine62    def _check_source_dtype(cls, data_type: Any) -> None:63        if isinstance(data_type, cls._base_pandera_dtypes) or (64            inspect.isclass(data_type)65            and issubclass(data_type, cls._base_pandera_dtypes)66        ):67            base_names = [68                f"{base.__module__}.{base.__qualname__}"69                for base in cls._base_pandera_dtypes70            ]71            raise ValueError(72                f"Subclasses of {base_names} cannot be registered"73                f" with {cls.__name__}."74            )75    def _register_from_parametrized_dtype(76        cls,77        pandera_dtype_cls: Type[DataType],78    ) -> None:79        method = pandera_dtype_cls.__dict__["from_parametrized_dtype"]80        if not isinstance(method, classmethod):81            raise ValueError(82                f"{pandera_dtype_cls.__name__}.from_parametrized_dtype "83                + "must be a classmethod."84            )85        func = method.__func__86        annotations = get_type_hints(func).values()87        dtype = next(iter(annotations))  # get 1st annotation88        # parse typing.Union89        dtypes = typing_inspect.get_args(dtype) or [dtype]90        def _method(*args, **kwargs):91            return func(pandera_dtype_cls, *args, **kwargs)92        for source_dtype in dtypes:93            cls._check_source_dtype(source_dtype)94            cls._registry[cls].dispatch.register(source_dtype, _method)95    def _register_equivalents(96        cls, pandera_dtype_cls: Type[DataType], *source_dtypes: Any97    ) -> None:98        pandera_dtype = pandera_dtype_cls()  # type: ignore99        for source_dtype in source_dtypes:100            cls._check_source_dtype(source_dtype)101            cls._registry[cls].equivalents[source_dtype] = pandera_dtype102    def register_dtype(103        cls: _EngineType,104        pandera_dtype_cls: Type[_DataType] = None,105        *,106        equivalents: Optional[List[Any]] = None,107    ) -> Callable:108        """Register a Pandera :class:`~pandera.dtypes.DataType` with the engine,109        as class decorator.110        :param pandera_dtype: The DataType to register.111        :param equivalents: Equivalent scalar data type classes or112            non-parametrized data type instances.113        .. note::114            The classmethod ``from_parametrized_dtype`` will also be...

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