



def 						snake_case__							(       __lowercase				,  __lowercase							)		->		Dict:







						"""simple docstring"""

						if len(str(A_							)							) == 1 or len(str(A_							)							) == 1:
												return a * b

						A__						:				Any         =			max(len(str(A_							)							)				,  len(str(A_							)							)							)
						A__						:				Optional[int]         =			ma // 2

						A__						:				Dict         =			divmod(A_				,  1_0**ma							)
						A__						:				Union[str, Any]         =			divmod(A_				,  1_0**ma							)

						A__						:				List[Any]         =			karatsuba(A_				,  A_							)
						A__						:				Dict         =			karatsuba((aa + aa)				,  (ba + ba)							)
						A__						:				Optional[int]         =			karatsuba(A_				,  A_							)

						return (z * 1_0 ** (2 * ma)) + ((y - z - x) * 1_0 ** (ma)) + (x)
def 						snake_case__							(       )		->		Any:







						"""simple docstring"""

						print(karatsuba(1_5_4_6_3				,  2_3_4_8_9							)							)


if __name__ == "__main__":
		main()



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__UpperCAmelCase      			=  {
    """configuration_switch_transformers""": [
        """SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """SwitchTransformersConfig""",
        """SwitchTransformersOnnxConfig""",
    ]
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __UpperCAmelCase      			=  [
         """SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """SwitchTransformersEncoderModel""",
         """SwitchTransformersForConditionalGeneration""",
         """SwitchTransformersModel""",
         """SwitchTransformersPreTrainedModel""",
         """SwitchTransformersTop1Router""",
         """SwitchTransformersSparseMLP""",
     ]


if TYPE_CHECKING:
     from .configuration_switch_transformers import (
         SWITCH_TRANSFORMERS_PRETRAINED_CONFIG_ARCHIVE_MAP,
         SwitchTransformersConfig,
         SwitchTransformersOnnxConfig,
     )

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_switch_transformers import (
              SWITCH_TRANSFORMERS_PRETRAINED_MODEL_ARCHIVE_LIST,
              SwitchTransformersEncoderModel,
              SwitchTransformersForConditionalGeneration,
              SwitchTransformersModel,
              SwitchTransformersPreTrainedModel,
              SwitchTransformersSparseMLP,
              SwitchTransformersTopaRouter,
          )


else:
     import sys

     __UpperCAmelCase      			=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

