


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






def 	_A				(lowerCAmelCase__  :Union[str, Any]				,						lowerCAmelCase__  :Optional[Any]				,						lowerCAmelCase__  :Any				,						lowerCAmelCase__  :Union[str, Any]		)   ->  Optional[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

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

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

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

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






def 	_A				(lowerCAmelCase__  :Any = 9		)   ->  Any:




     '''simple docstring'''



     _a			      =							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_flax_available,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


a_					:    int          =    {"configuration_vit": ["VIT_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTConfig", "ViTOnnxConfig"]}

try:
 if not is_vision_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a_					:    List[Any]          =    ["ViTFeatureExtractor"]
 a_					:    Optional[int]          =    ["ViTImageProcessor"]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a_					:    Optional[int]          =    [
     "VIT_PRETRAINED_MODEL_ARCHIVE_LIST",
     "ViTForImageClassification",
     "ViTForMaskedImageModeling",
     "ViTModel",
     "ViTPreTrainedModel",
 ]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a_					:    Any          =    [
     "TFViTForImageClassification",
     "TFViTModel",
     "TFViTPreTrainedModel",
 ]

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 a_					:    Dict          =    [
     "FlaxViTForImageClassification",
     "FlaxViTModel",
     "FlaxViTPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig, ViTOnnxConfig

 try:
  if not is_vision_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .feature_extraction_vit import ViTFeatureExtractor
  from .image_processing_vit import ViTImageProcessor

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_vit import (
      VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
      ViTForImageClassification,
      ViTForMaskedImageModeling,
      ViTModel,
      ViTPreTrainedModel,
  )

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel


else:
 import sys

 a_					:    List[str]          =    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)

