



'''simple docstring'''
lowercase      			=	[0, 2, 4, 6, 8]
lowercase      			=	[1, 3, 5, 7, 9]



def        __A   (							_SCREAMING_SNAKE_CASE     :  List[str]					,   _SCREAMING_SNAKE_CASE     :  List[Any]					,   _SCREAMING_SNAKE_CASE     :  Dict					,   _SCREAMING_SNAKE_CASE     :  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 //= 1_0

										return 1

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

										__SCREAMING_SNAKE_CASE				:    int						    =							0
										for digit in range(1_0	):
															__SCREAMING_SNAKE_CASE				:    Dict						    =							digit
															result += reversible_numbers(
															    0					,   (remainder + 2 * digit) // 1_0					,   lowerCamelCase_					,   lowerCamelCase_	)
										return result

					__SCREAMING_SNAKE_CASE				:    Any						    =							0
					for digita in range(1_0	):
										__SCREAMING_SNAKE_CASE				:    Any						    =							digita

										if (remainder + digita) % 2 == 0:
															__SCREAMING_SNAKE_CASE				:    Tuple						    =							ODD_DIGITS
										else:
															__SCREAMING_SNAKE_CASE				:    List[Any]						    =							EVEN_DIGITS

										for digita in other_parity_digits:
															__SCREAMING_SNAKE_CASE				:    Union[str, Any]						    =							digita
															result += reversible_numbers(
															    remaining_length - 2					,   (remainder + digita + digita) // 1_0					,   lowerCamelCase_					,   lowerCamelCase_					,   )
					return result



def        __A   (							_SCREAMING_SNAKE_CASE     :  Optional[Any] = 9	):







					"""simple docstring"""






					__SCREAMING_SNAKE_CASE				:    int						    =							0
					for length in range(1					,   max_power + 1	):
										result += reversible_numbers(lowerCamelCase_					,   0					,   [0] * length					,   lowerCamelCase_	)
					return result


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




'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


snake_case									=    logging.get_logger(__name__)

snake_case									=    {
    """google/mobilenet_v2_1.4_224""": """https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json""",
    """google/mobilenet_v2_1.0_224""": """https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json""",
    """google/mobilenet_v2_0.75_160""": """https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json""",
    """google/mobilenet_v2_0.35_96""": """https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json""",
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}




class    lowerCAmelCase       (     UpperCamelCase_  ):
 A_				:				List[str]	=			"""mobilenet_v2"""


 def __init__(    self  : Optional[int]			,							a__  : Dict=3			,							a__  : str=224			,							a__  : int=1.0			,							a__  : Dict=8			,							a__  : Dict=8			,							a__  : Dict=6			,							a__  : Optional[Any]=32			,							a__  : List[str]=True			,							a__  : int=True			,							a__  : List[str]="relu6"			,							a__  : List[str]=True			,							a__  : List[Any]=0.8			,							a__  : Tuple=0.02			,							a__  : Tuple=0.001			,							a__  : Optional[Any]=255			,							**a__  : str			,							):
  '''simple docstring'''

  super().__init__(**a__    )

  if depth_multiplier <= 0:
   raise ValueError("depth_multiplier must be greater than zero."    )

  lowerCAmelCase__     :   Any     		=	num_channels
  lowerCAmelCase__     :   Union[str, Any]     		=	image_size
  lowerCAmelCase__     :   Tuple     		=	depth_multiplier
  lowerCAmelCase__     :   Optional[int]     		=	depth_divisible_by
  lowerCAmelCase__     :   Union[str, Any]     		=	min_depth
  lowerCAmelCase__     :   List[str]     		=	expand_ratio
  lowerCAmelCase__     :   Union[str, Any]     		=	output_stride
  lowerCAmelCase__     :   Optional[int]     		=	first_layer_is_expansion
  lowerCAmelCase__     :   Tuple     		=	finegrained_output
  lowerCAmelCase__     :   Optional[int]     		=	hidden_act
  lowerCAmelCase__     :   Optional[Any]     		=	tf_padding
  lowerCAmelCase__     :   Union[str, Any]     		=	classifier_dropout_prob
  lowerCAmelCase__     :   Optional[int]     		=	initializer_range
  lowerCAmelCase__     :   str     		=	layer_norm_eps
  lowerCAmelCase__     :   int     		=	semantic_loss_ignore_index




class    lowerCAmelCase       (     UpperCamelCase_  ):
 A_				:				Optional[int]	=			version.parse("""1.11"""  )


 @property
 def    _A	(    self  : List[Any]    ):
  '''simple docstring'''

  return OrderedDict([("pixel_values", {0: "batch"})]    )


 @property
 def    _A	(    self  : Optional[int]    ):
  '''simple docstring'''

  if self.task == "image-classification":
   return OrderedDict([("logits", {0: "batch"})]    )
  else:
   return OrderedDict([("last_hidden_state", {0: "batch"}), ("pooler_output", {0: "batch"})]    )


 @property
 def    _A	(    self  : List[str]    ):
  '''simple docstring'''

  return 1e-4





