





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_												=	logging.get_logger(__name__)

UpperCamelCase_												=	{
    'google/efficientnet-b7': 'https://huggingface.co/google/efficientnet-b7/resolve/main/config.json',
}

class     snake_case_		(   a							):






 '''simple docstring'''





 __UpperCamelCase       =      'efficientnet'

 def __init__(  self,		A_ = 3,		A_ = 600,		A_ = 2.0,		A_ = 3.1,		A_ = 8,		A_ = [3, 3, 5, 3, 5, 5, 3],		A_ = [32, 16, 24, 40, 80, 112, 192],		A_ = [16, 24, 40, 80, 112, 192, 320],		A_ = [],		A_ = [1, 2, 2, 2, 1, 2, 1],		A_ = [1, 2, 2, 3, 3, 4, 1],		A_ = [1, 6, 6, 6, 6, 6, 6],		A_ = 0.25,		A_ = "swish",		A_ = 2560,		A_ = "mean",		A_ = 0.02,		A_ = 0.0_01,		A_ = 0.99,		A_ = 0.5,		A_ = 0.2,		**A_,		)	->       Optional[Any]:
    super().__init__(**A_		)

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

class     snake_case_		(   a							):






 '''simple docstring'''





 __UpperCamelCase       =      version.parse('1.11'							)

 @property
 def  __UpperCAmelCase						(  self		)	->       Mapping[str, Mapping[int, str]]:
    return OrderedDict(
        [
            ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
        ]		)






 @property
 def  __UpperCAmelCase						(  self		)	->       float:
    return 1E-5










def 				_UpperCAmelCase			(    A     ):




   '''simple docstring'''

   for i in range(len(A     ) - 1				,							0				,							-1     ):
      UpperCAmelCase__						=False

      for j in range(A				,							0				,							-1     ):
         if unsorted[j] < unsorted[j - 1]:
            UpperCAmelCase__			,							UpperCAmelCase__						=unsorted[j - 1], unsorted[j]
            UpperCAmelCase__						=True

      for j in range(A     ):
         if unsorted[j] > unsorted[j + 1]:
            UpperCAmelCase__			,							UpperCAmelCase__						=unsorted[j + 1], unsorted[j]
            UpperCAmelCase__						=True

      if not swapped:
         break
   return unsorted


if __name__ == "__main__":
    import doctest

    doctest.testmod()
    UpperCamelCase_												=	input('Enter numbers separated by a comma:\n').strip()
    UpperCamelCase_												=	[int(item) for item in user_input.split(',')]
    print(f"""{cocktail_shaker_sort(unsorted) = }""")



