



from collections import OrderedDict
from typing import List, Mapping

from packaging import version

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


UpperCAmelCase_							:      Union[str, Any]      =  logging.get_logger(__name__)

UpperCAmelCase_							:      str      =  {
    "google/efficientnet-b7": "https://huggingface.co/google/efficientnet-b7/resolve/main/config.json",
}






class      UpperCamelCase    (						lowerCamelCase__     ):
	lowerCAmelCase	:   Tuple				=	'efficientnet'



	def __init__(       self			,	UpperCAmelCase__ = 3			,	UpperCAmelCase__ = 600			,	UpperCAmelCase__ = 2.0			,	UpperCAmelCase__ = 3.1			,	UpperCAmelCase__ = 8			,	UpperCAmelCase__ = [3, 3, 5, 3, 5, 5, 3]			,	UpperCAmelCase__ = [32, 16, 24, 40, 80, 112, 192]			,	UpperCAmelCase__ = [16, 24, 40, 80, 112, 192, 320]			,	UpperCAmelCase__ = []			,	UpperCAmelCase__ = [1, 2, 2, 2, 1, 2, 1]			,	UpperCAmelCase__ = [1, 2, 2, 3, 3, 4, 1]			,	UpperCAmelCase__ = [1, 6, 6, 6, 6, 6, 6]			,	UpperCAmelCase__ = 0.25			,	UpperCAmelCase__ = "swish"			,	UpperCAmelCase__ = 2_560			,	UpperCAmelCase__ = "mean"			,	UpperCAmelCase__ = 0.02			,	UpperCAmelCase__ = 0.001			,	UpperCAmelCase__ = 0.99			,	UpperCAmelCase__ = 0.5			,	UpperCAmelCase__ = 0.2			,	**UpperCAmelCase__			,	):
							super().__init__(**lowercase__		)

							A__							=       num_channels
							A__							=       image_size
							A__							=       width_coefficient
							A__							=       depth_coefficient
							A__							=       depth_divisor
							A__							=       kernel_sizes
							A__							=       in_channels
							A__							=       out_channels
							A__							=       depthwise_padding
							A__							=       strides
							A__							=       num_block_repeats
							A__							=       expand_ratios
							A__							=       squeeze_expansion_ratio
							A__							=       hidden_act
							A__							=       hidden_dim
							A__							=       pooling_type
							A__							=       initializer_range
							A__							=       batch_norm_eps
							A__							=       batch_norm_momentum
							A__							=       dropout_rate
							A__							=       drop_connect_rate
							A__							=       sum(lowercase__		) * 4






class      UpperCamelCase    (						lowerCamelCase__     ):
	lowerCAmelCase	:   str				=	version.parse("""1.11"""     )



	@property
	def 			__A							(       self		):
							return OrderedDict(
							    [
							        ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
							    ]		)



	@property
	def 			__A							(       self		):
							return 1e-5










def  UpperCamelCase						(       _A			:				str			,							_A			:				str    )->       str:





						"""simple docstring"""





						A__							=       len(_A    )
						A__							=       len(_A    )
						A__							=       (
						    first_str_length if first_str_length > second_str_length else second_str_length
						)
						A__							=       []
						for char_count in range(_A    ):
												if char_count < first_str_length:
																		output_list.append(first_str[char_count]    )
												if char_count < second_str_length:
																		output_list.append(second_str[char_count]    )
						return "".join(_A    )


if __name__ == "__main__":
						print(alternative_string_arrange("AB", "XYZ"), end=" ")





