


"""simple docstring"""


__lowerCamelCase      :Dict	    =		'Input must be a string of 8 numbers plus letter'
__lowerCamelCase      :Any	    =		'TRWAGMYFPDXBNJZSQVHLCKE'




def   snake_case		(     UpperCamelCase__       :						str    )   ->      bool:

      if not isinstance(UpperCamelCase__			,				UpperCamelCase__    ):
            lowerCamelCase					:					Optional[Any]        =	F'Expected string as input, found {type(UpperCamelCase__    ).__name__}'
            raise TypeError(UpperCamelCase__    )

      lowerCamelCase					:					List[str]        =	spanish_id.replace("""-"""			,				""""""    ).upper()
      if len(UpperCamelCase__    ) != 9:
            raise ValueError(UpperCamelCase__    )

      try:
            lowerCamelCase					:					Union[str, Any]        =	int(spanish_id_clean[0:8]    )
            lowerCamelCase					:					List[Any]        =	spanish_id_clean[8]
      except ValueError as ex:
            raise ValueError(UpperCamelCase__    ) from ex

      if letter.isdigit():
            raise ValueError(UpperCamelCase__    )

      return letter == LOOKUP_LETTERS[number % 23]


if __name__ == "__main__":
    import doctest

    doctest.testmod()








"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


__lowerCamelCase      :Optional[Any]	    =		{
    'configuration_encodec': [
        'ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'EncodecConfig',
    ],
    'feature_extraction_encodec': ['EncodecFeatureExtractor'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase      :Union[str, Any]	    =		[
        'ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST',
        'EncodecModel',
        'EncodecPreTrainedModel',
    ]

if TYPE_CHECKING:
    from .configuration_encodec import (
        ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
        EncodecConfig,
    )
    from .feature_extraction_encodec import EncodecFeatureExtractor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_encodec import (
            ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
            EncodecModel,
            EncodecPreTrainedModel,
        )

else:
    import sys

    __lowerCamelCase      :Dict	    =		_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




