



'''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


a     :    int      						=					logging.get_logger(__name__)

a     :    List[str]      						=					{
    """google/mobilenet_v1_1.0_224""": """https://huggingface.co/google/mobilenet_v1_1.0_224/resolve/main/config.json""",
    """google/mobilenet_v1_0.75_192""": """https://huggingface.co/google/mobilenet_v1_0.75_192/resolve/main/config.json""",
    # See all MobileNetV1 models at https://huggingface.co/models?filter=mobilenet_v1
}

class     UpperCamelCase_				(							UpperCAmelCase__    ):
	lowercase    =				'mobilenet_v1'





	def __init__(						self	,	A=3	,	A=224	,	A=1.0	,	A=8	,	A="relu6"	,	A=True	,	A=0.9_9_9	,	A=0.0_2	,	A=0.0_0_1	,	**A	,	)    ->    Union[str, Any]:
								super().__init__(**A					)

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

								UpperCAmelCase  :	List[str]							  =	num_channels
								UpperCAmelCase  :	List[Any]							  =	image_size
								UpperCAmelCase  :	List[str]							  =	depth_multiplier
								UpperCAmelCase  :	Union[str, Any]							  =	min_depth
								UpperCAmelCase  :	Tuple							  =	hidden_act
								UpperCAmelCase  :	List[str]							  =	tf_padding
								UpperCAmelCase  :	int							  =	classifier_dropout_prob
								UpperCAmelCase  :	Any							  =	initializer_range
								UpperCAmelCase  :	Dict							  =	layer_norm_eps




class     UpperCamelCase_				(							UpperCAmelCase__    ):
	lowercase    =				version.parse('1.11'    )





	@property
	def 				_lowercase(						self					)    ->    Mapping[str, Mapping[int, str]]:
								return OrderedDict([("""pixel_values""", {0: """batch"""})]					)





	@property
	def 				_lowercase(						self					)    ->    Mapping[str, Mapping[int, str]]:




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






	@property
	def 				_lowercase(						self					)    ->    float:
								return 1e-4









'''simple docstring'''




a     :    Tuple      						=					[sum(int(c, 1_0) ** 2 for c in i.__str__()) for i in range(1_0_0_0_0_0)]



def    __lowerCamelCase						(      _lowercase	)   ->    int:
							UpperCAmelCase  :	str							  =	0
							while number:
														# Increased Speed Slightly by checking every 5 digits together.
														sum_of_digits_squared += DIGITS_SQUARED[number % 1_0_0_0_0_0]
														number //= 1_0_0_0_0_0

							return sum_of_digits_squared


# There are 2 Chains made,
# One ends with 89 with the chain member 58 being the one which when declared first,
# there will be the least number of iterations for all the members to be checked.

# The other one ends with 1 and has only one element 1.

# So 58 and 1 are chosen to be declared at the starting.

# Changed dictionary to an array to quicken the solution
a     :    list[bool | None]      						=					[None] * 1_0_0_0_0_0_0_0
a     :    Optional[Any]      						=					True
a     :    List[Any]      						=					False



def    __lowerCamelCase						(      _lowercase	)   ->    bool:

							if CHAINS[number - 1] is not None:
														return CHAINS[number - 1]  # type: ignore

							UpperCAmelCase  :	List[str]							  =	chain(next_number(_lowercase	)	)
							UpperCAmelCase  :	Tuple							  =	number_chain

							while number < 1_0_0_0_0_0_0_0:
														UpperCAmelCase  :	List[str]							  =	number_chain
														number *= 1_0

							return number_chain



def    __lowerCamelCase						(      _lowercase = 1_0_0_0_0_0_0_0	)   ->    int:
							for i in range(1			,       _lowercase	):
														if CHAINS[i] is None:
																					chain(i + 1	)

							return CHAINS[:number].count(_lowercase	)


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							print(F'''{solution() = }''')

