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How to use _pydantic_validate method in pandera

Best Python code snippet using pandera_python

model.py

Source:model.py

...399    @classmethod400    def __get_validators__(cls):401        yield cls._pydantic_validate402    @classmethod403    def _pydantic_validate(cls, schema_model: Any) -> "SchemaModel":404        """Verify that the input is a compatible schema model."""405        if not inspect.isclass(schema_model):  # type: ignore406            raise TypeError(f"{schema_model} is not a pandera.SchemaModel")407        if not issubclass(schema_model, cls):  # type: ignore408            raise TypeError(f"{schema_model} does not inherit {cls}.")409        try:410            schema_model.to_schema()411        except SchemaInitError as exc:412            raise ValueError(413                f"Cannot use {cls} as a pydantic type as its "414                "SchemaModel cannot be converted to a DataFrameSchema.\n"415                f"Please revisit the model to address the following errors:"416                f"\n{exc}"417            ) from exc...

magic_kind.py

Source:magic_kind.py

...43        return set(cls._choice_dict)44class MagicKind(metaclass=MetaMagicKind):45    """Simple alternative to Enum for common "Magic Value" cases."""46    @classmethod47    def _pydantic_validate(cls, v):48        """To support use of MagicKind types in Pydantic models."""49        if not v in cls:50            raise ValueError(f"The value {v} of type {type(v)} not valid for {cls}")51        return v52    @classmethod53    def __get_validators__(cls):54        """To support use of MagicKind types in Pydantic models."""...

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