


a : str		=				[0, 2, 4, 6, 8]
a : List[str]		=				[1, 3, 5, 7, 9]


def 		lowercase_  (     _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

						__lowercase 					=   0
						for digit in range(10  ):
									__lowercase 					=   digit
									result += reversible_numbers(
									    0       ,			(remainder + 2 * digit) // 10       ,			_UpperCamelCase       ,			_UpperCamelCase  )
						return result

			__lowercase 					=   0
			for digita in range(10  ):
						__lowercase 					=   digita

						if (remainder + digita) % 2 == 0:
									__lowercase 					=   ODD_DIGITS
						else:
									__lowercase 					=   EVEN_DIGITS

						for digita in other_parity_digits:
									__lowercase 					=   digita
									result += reversible_numbers(
									    remaining_length - 2       ,			(remainder + digita + digita) // 10       ,			_UpperCamelCase       ,			_UpperCamelCase       ,			)
			return result


def 		lowercase_  (     _UpperCamelCase = 9  ):


			'''simple docstring'''







			__lowercase 					=   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() = }''')






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


a : List[str]		=				{
    '''configuration_table_transformer''': [
        '''TABLE_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''TableTransformerConfig''',
        '''TableTransformerOnnxConfig''',
    ]
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a : Union[str, Any]		=				[
	    '''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

	a : Any		=				_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


