'''simple docstring'''

from itertools import permutations







def __UpperCamelCase( _A       :					tuple     ):
   '''simple docstring'''
   if num[3] % 2 != 0:
      return False

   if (num[2] + num[3] + num[4]) % 3 != 0:
      return False

   if num[5] % 5 != 0:
      return False

   UpperCAmelCase__				:					Dict 					=	[7, 11, 13, 17]
   for i, test in enumerate(_A     ):
      if (num[i + 4] * 1_00 + num[i + 5] * 10 + num[i + 6]) % test != 0:
         return False
   return True







def __UpperCamelCase( _A       :					int = 10     ):
   '''simple docstring'''
   return sum(
       int(''''''.join(map(_A	,      _A     )     )     )
       for num in permutations(range(_A     )     )
       if is_substring_divisible(_A     )     )


if __name__ == "__main__":
  print(f"""{solution() = }""")





'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase__  :						str					=      {
    'configuration_git': ['GIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GitConfig', 'GitVisionConfig'],
    'processing_git': ['GitProcessor'],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  UpperCamelCase__  :						str					=      [
      'GIT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'GitForCausalLM',
      'GitModel',
      'GitPreTrainedModel',
      'GitVisionModel',
  ]

if TYPE_CHECKING:
  from .configuration_git import GIT_PRETRAINED_CONFIG_ARCHIVE_MAP, GitConfig, GitVisionConfig
  from .processing_git import GitProcessor

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_git import (
        GIT_PRETRAINED_MODEL_ARCHIVE_LIST,
        GitForCausalLM,
        GitModel,
        GitPreTrainedModel,
        GitVisionModel,
    )

else:
  import sys

  UpperCamelCase__  :						Tuple					=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




