






def   SCREAMING_SNAKE_CASE__						(   snake_case_,  snake_case_  )   ->  Tuple:


	"""simple docstring"""



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

	a		=			max(len(str(snake_case_  )  ),  len(str(snake_case_  )  )  )
	a		=			ma // 2

	a	, a		=			divmod(snake_case_,  1_0**ma  )
	a	, a		=			divmod(snake_case_,  1_0**ma  )

	a		=			karatsuba(snake_case_,  snake_case_  )
	a		=			karatsuba((aa + aa),  (ba + ba)  )
	a		=			karatsuba(snake_case_,  snake_case_  )

	return (z * 1_0 ** (2 * ma)) + ((y - z - x) * 1_0 ** (ma)) + (x)





def   SCREAMING_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_tokenizers_available, is_torch_available


UpperCamelCase__						:      Tuple								=					{
    """configuration_nystromformer""": ["""NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """NystromformerConfig"""],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				UpperCamelCase__						:      Any								=					[
				    """NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
				    """NystromformerForMaskedLM""",
				    """NystromformerForMultipleChoice""",
				    """NystromformerForQuestionAnswering""",
				    """NystromformerForSequenceClassification""",
				    """NystromformerForTokenClassification""",
				    """NystromformerLayer""",
				    """NystromformerModel""",
				    """NystromformerPreTrainedModel""",
				]


if TYPE_CHECKING:
				from .configuration_nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_nystromformer import (
								    NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
								    NystromformerForMaskedLM,
								    NystromformerForMultipleChoice,
								    NystromformerForQuestionAnswering,
								    NystromformerForSequenceClassification,
								    NystromformerForTokenClassification,
								    NystromformerLayer,
								    NystromformerModel,
								    NystromformerPreTrainedModel,
								)


else:
				import sys

				UpperCamelCase__						:      str								=					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





