


import itertools
def        __lowerCamelCase		(				UpperCAmelCase_		:	List[Any]		):




      """simple docstring"""





      return (
          int(''''''.join(combination[0:2]		)		) * int(''''''.join(combination[2:5]		)		)
          == int(''''''.join(combination[5:9]		)		)
      ) or (
          int(''''''.join(combination[0]		)		) * int(''''''.join(combination[1:5]		)		)
          == int(''''''.join(combination[5:9]		)		)
      )
def        __lowerCamelCase		(				):




      """simple docstring"""





      return sum(
          {
              int(''''''.join(pandigital[5:9]		)		)
              for pandigital in itertools.permutations('''123456789'''		)
              if is_combination_valid(UpperCAmelCase_		)
          }		)


if __name__ == "__main__":
     print(solution())









from typing import TYPE_CHECKING

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


snake_case       :					Dict        =  {
    '''configuration_align''': [
        '''ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''AlignConfig''',
        '''AlignTextConfig''',
        '''AlignVisionConfig''',
    ],
    '''processing_align''': ['''AlignProcessor'''],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     snake_case       :					List[str]        =  [
         '''ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''AlignModel''',
         '''AlignPreTrainedModel''',
         '''AlignTextModel''',
         '''AlignVisionModel''',
     ]

if TYPE_CHECKING:
     from .configuration_align import (
         ALIGN_PRETRAINED_CONFIG_ARCHIVE_MAP,
         AlignConfig,
         AlignTextConfig,
         AlignVisionConfig,
     )
     from .processing_align import AlignProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_align import (
              ALIGN_PRETRAINED_MODEL_ARCHIVE_LIST,
              AlignModel,
              AlignPreTrainedModel,
              AlignTextModel,
              AlignVisionModel,
          )

else:
     import sys

     snake_case       :					int        =  _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)





