



'''simple docstring'''





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


lowercase_		       =  logging.get_logger(__name__)

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






class __A			(  __lowerCamelCase						):



 '''simple docstring'''







 __lowerCamelCase    :       Union[str, Any]          =       '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 = 2_560 ,   A = "mean" ,   A = 0.02 ,   A = 0.001 ,   A = 0.99 ,   A = 0.5 ,   A = 0.2 ,   **A ,   )    ->     Tuple:


      """simple docstring"""



      super().__init__(**A       )

      _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(A       ) * 4






class __A			(  __lowerCamelCase						):



 '''simple docstring'''







 __lowerCamelCase    :       Any          =       version.parse('1.11'						)



 @property
 def 					a__  (self       )    ->     Optional[Any]:


      """simple docstring"""



      return OrderedDict(
          [
              ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
          ]       )



 @property
 def 					a__  (self       )    ->     Union[str, Any]:


      """simple docstring"""



      return 1E-5










from __future__ import annotations

import typing
from collections import Counter







def 			A__							(    SCREAMING_SNAKE_CASE__)   ->    typing.Counter[int]:
  __snake_case:						typing.Counter[int]   =						Counter()
  for base in range(1					,					max_perimeter + 1):
    for perpendicular in range(SCREAMING_SNAKE_CASE__					,					max_perimeter + 1):
      __snake_case:						Dict   =						(base * base + perpendicular * perpendicular) ** 0.5
      if hypotenuse == int(SCREAMING_SNAKE_CASE__):
        __snake_case:						Any   =						int(base + perpendicular + hypotenuse)
        if perimeter > max_perimeter:
          continue
        triplets[perimeter] += 1
  return triplets







def 			A__							(    SCREAMING_SNAKE_CASE__ = 1000)   ->    int:
  __snake_case:						List[str]   =						pythagorean_triple(SCREAMING_SNAKE_CASE__)
  return triplets.most_common(1)[0][0]


if __name__ == "__main__":
      print(f'Perimeter {solution()} has maximum solutions')






