


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


lowerCAmelCase			=				logging.get_logger(__name__)

lowerCAmelCase			=				{
    '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 			_a				(     UpperCamelCase__     ):
							_lowercase      :     Optional[Any]     =					'''mobilenet_v1'''

							def __init__(				self:      List[Any]       ,		UpperCamelCase_:      Any=3       ,		UpperCamelCase_:      int=224       ,		UpperCamelCase_:      Optional[int]=1.0       ,		UpperCamelCase_:      int=8       ,		UpperCamelCase_:      str="relu6"       ,		UpperCamelCase_:      Optional[Any]=True       ,		UpperCamelCase_:      List[Any]=0.999       ,		UpperCamelCase_:      List[Any]=0.02       ,		UpperCamelCase_:      Union[str, Any]=0.001       ,		**UpperCamelCase_:      Optional[int]       ,		)     ->  List[Any]:





									"""simple docstring"""







									super().__init__(**UpperCamelCase_				)

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

									lowercase__				= num_channels
									lowercase__				= image_size
									lowercase__				= depth_multiplier
									lowercase__				= min_depth
									lowercase__				= hidden_act
									lowercase__				= tf_padding
									lowercase__				= classifier_dropout_prob
									lowercase__				= initializer_range
									lowercase__				= layer_norm_eps


class 			_a				(     UpperCamelCase__     ):
							_lowercase      :     List[str]     =					version.parse('''1.11'''     )

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





									"""simple docstring"""







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

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





									"""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  lowerCamelCase_					(				self:      Any				)     ->  float:





									"""simple docstring"""







									return 1E-4





"""simple docstring"""





def     __SCREAMING_SNAKE_CASE    ( A_					):
	lowerCAmelCase__      :		Any    							=      int(A_					)
	if decimal in (0, 1):  # Exit cases for the recursion
		return str(A_					)
	lowerCAmelCase__							,lowerCAmelCase__      :		Any    							=      divmod(A_		,	2					)
	return binary_recursive(A_					) + str(A_					)

def     __SCREAMING_SNAKE_CASE    ( A_					):
	lowerCAmelCase__      :		Union[str, Any]    							=      str(A_					).strip()
	if not number:
		raise ValueError('''No input value was provided'''					)
	lowerCAmelCase__      :		Any    							=      '''-''' if number.startswith('''-'''					) else ''''''
	lowerCAmelCase__      :		Dict    							=      number.lstrip('''-'''					)
	if not number.isnumeric():
		raise ValueError('''Input value is not an integer'''					)
	return f'{negative}0b{binary_recursive(int(A_					)					)}'


if __name__ == "__main__":
							from doctest import testmod

							testmod()




