



UpperCAmelCase__       =	[0, 2, 4, 6, 8]
UpperCAmelCase__       =	[1, 3, 5, 7, 9]





def 							A     (					_UpperCAmelCase    :       int							,       _UpperCAmelCase    :       int							,       _UpperCAmelCase    :       list[int]							,       _UpperCAmelCase    :       int   )    ->			int:







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

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

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

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





def 							A     (					_UpperCAmelCase    :       int = 9   )    ->			int:







			'''simple docstring'''
			_UpperCAmelCase			=       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_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCAmelCase__       =	{
    "configuration_lxmert": ["LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LxmertConfig"],
    "tokenization_lxmert": ["LxmertTokenizer"],
}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__       =	["LxmertTokenizerFast"]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__       =	[
							    "LxmertEncoder",
							    "LxmertForPreTraining",
							    "LxmertForQuestionAnswering",
							    "LxmertModel",
							    "LxmertPreTrainedModel",
							    "LxmertVisualFeatureEncoder",
							    "LxmertXLayer",
							]

try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase__       =	[
							    "TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "TFLxmertForPreTraining",
							    "TFLxmertMainLayer",
							    "TFLxmertModel",
							    "TFLxmertPreTrainedModel",
							    "TFLxmertVisualFeatureEncoder",
							]


if TYPE_CHECKING:
							from .configuration_lxmert import LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP, LxmertConfig
							from .tokenization_lxmert import LxmertTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_lxmert_fast import LxmertTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_lxmert import (
														    LxmertEncoder,
														    LxmertForPreTraining,
														    LxmertForQuestionAnswering,
														    LxmertModel,
														    LxmertPreTrainedModel,
														    LxmertVisualFeatureEncoder,
														    LxmertXLayer,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_lxmert import (
														    TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TFLxmertForPreTraining,
														    TFLxmertMainLayer,
														    TFLxmertModel,
														    TFLxmertPreTrainedModel,
														    TFLxmertVisualFeatureEncoder,
														)

else:
							import sys

							UpperCAmelCase__       =	_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
