
"""simple docstring"""







def       __UpperCAmelCase		(		a_      :		int     ,	a_      :		List[str]					)  ->							Tuple:
   if len(str(a_					)					) == 1 or len(str(a_					)					) == 1:
      return a * b

   _UpperCAmelCase 						=       max(len(str(a_					)					)     ,	len(str(a_					)					)					)
   _UpperCAmelCase 						=       ma // 2

   _UpperCAmelCase						,				_UpperCAmelCase 						=       divmod(a_     ,	10**ma					)
   _UpperCAmelCase						,				_UpperCAmelCase 						=       divmod(a_     ,	10**ma					)

   _UpperCAmelCase 						=       karatsuba(a_     ,	a_					)
   _UpperCAmelCase 						=       karatsuba((aa + aa)     ,	(ba + ba)					)
   _UpperCAmelCase 						=       karatsuba(a_     ,	a_					)

   return (z * 10 ** (2 * ma)) + ((y - z - x) * 10 ** (ma)) + (x)
def       __UpperCAmelCase		(		)  ->							List[Any]:
   print(karatsuba(1_54_63     ,	2_34_89					)					)


if __name__ == "__main__":
  main()



"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


SCREAMING_SNAKE_CASE_  					= {'configuration_detr': ['DETR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DetrConfig', 'DetrOnnxConfig']}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE_  					= ['DetrFeatureExtractor']
  SCREAMING_SNAKE_CASE_  					= ['DetrImageProcessor']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  SCREAMING_SNAKE_CASE_  					= [
      'DETR_PRETRAINED_MODEL_ARCHIVE_LIST',
      'DetrForObjectDetection',
      'DetrForSegmentation',
      'DetrModel',
      'DetrPreTrainedModel',
  ]


if TYPE_CHECKING:
  from .configuration_detr import DETR_PRETRAINED_CONFIG_ARCHIVE_MAP, DetrConfig, DetrOnnxConfig

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_detr import DetrFeatureExtractor
    from .image_processing_detr import DetrImageProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_detr import (
        DETR_PRETRAINED_MODEL_ARCHIVE_LIST,
        DetrForObjectDetection,
        DetrForSegmentation,
        DetrModel,
        DetrPreTrainedModel,
    )

else:
  import sys

  SCREAMING_SNAKE_CASE_  					= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

