




"""simple docstring"""




__UpperCAmelCase =				[0, 2, 4, 6, 8]
__UpperCAmelCase =				[1, 3, 5, 7, 9]
def   lowerCAmelCase						(					__UpperCamelCase							,    __UpperCamelCase							,    __UpperCamelCase							,    __UpperCamelCase      ):
 '''simple docstring'''





 if remaining_length == 0:
  if digits[0] == 0 or digits[-1] == 0:
   return 0

  for i in range(length // 2 - 1							,    -1							,    -1      ):
   remainder += digits[i] + digits[length - i - 1]

   if remainder % 2 == 0:
    return 0

   remainder //= 10

  return 1

 if remaining_length == 1:
  if remainder % 2 == 0:
   return 0

  UpperCAmelCase__					:  Any					   =					0
  for digit in range(10      ):
   UpperCAmelCase__					:  Dict					   =					digit
   result += reversible_numbers(
       0							,    (remainder + 2 * digit) // 10							,    __UpperCamelCase							,    __UpperCamelCase      )
  return result

 UpperCAmelCase__					:  str					   =					0
 for digita in range(10      ):
  UpperCAmelCase__					:  Optional[Any]					   =					digita

  if (remainder + digita) % 2 == 0:
   UpperCAmelCase__					:  List[Any]					   =					ODD_DIGITS
  else:
   UpperCAmelCase__					:  Optional[int]					   =					EVEN_DIGITS

  for digita in other_parity_digits:
   UpperCAmelCase__					:  Tuple					   =					digita
   result += reversible_numbers(
       remaining_length - 2							,    (remainder + digita + digita) // 10							,    __UpperCamelCase							,    __UpperCamelCase							,    )
 return result
def   lowerCAmelCase						(					__UpperCamelCase = 9      ):
 '''simple docstring'''





 UpperCAmelCase__					:  Dict					   =					0
 for length in range(1							,    max_power + 1      ):
  result += reversible_numbers(__UpperCamelCase							,    0							,    [0] * length							,    __UpperCamelCase      )
 return result


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








"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCAmelCase =				{
    'configuration_table_transformer': [
        'TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'TableTransformerConfig',
        'TableTransformerOnnxConfig',
    ]
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __UpperCAmelCase =				[
          'TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
          'TableTransformerForObjectDetection',
          'TableTransformerModel',
          'TableTransformerPreTrainedModel',
      ]


if TYPE_CHECKING:
      from .configuration_table_transformer import (
          TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
          TableTransformerConfig,
          TableTransformerOnnxConfig,
      )

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_table_transformer import (
                TABLE_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                TableTransformerForObjectDetection,
                TableTransformerModel,
                TableTransformerPreTrainedModel,
            )

else:
      import sys

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





