




'''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


_lowerCAmelCase  		=      logging.get_logger(__name__)

_lowerCAmelCase  		=      {
    'google/efficientnet-b7': 'https://huggingface.co/google/efficientnet-b7/resolve/main/config.json',
}
class   __A (							_SCREAMING_SNAKE_CASE  ):



   """simple docstring"""







   A_												=				'efficientnet'

   def __init__(      self				, _lowerCamelCase = 3				, _lowerCamelCase = 6_0_0				, _lowerCamelCase = 2.0				, _lowerCamelCase = 3.1				, _lowerCamelCase = 8				, _lowerCamelCase = [3, 3, 5, 3, 5, 5, 3]				, _lowerCamelCase = [3_2, 1_6, 2_4, 4_0, 8_0, 1_1_2, 1_9_2]				, _lowerCamelCase = [1_6, 2_4, 4_0, 8_0, 1_1_2, 1_9_2, 3_2_0]				, _lowerCamelCase = []				, _lowerCamelCase = [1, 2, 2, 2, 1, 2, 1]				, _lowerCamelCase = [1, 2, 2, 3, 3, 4, 1]				, _lowerCamelCase = [1, 6, 6, 6, 6, 6, 6]				, _lowerCamelCase = 0.2_5				, _lowerCamelCase = "swish"				, _lowerCamelCase = 2_5_6_0				, _lowerCamelCase = "mean"				, _lowerCamelCase = 0.0_2				, _lowerCamelCase = 0.0_0_1				, _lowerCamelCase = 0.9_9				, _lowerCamelCase = 0.5				, _lowerCamelCase = 0.2				, **_lowerCamelCase				, )->       Dict:
      super().__init__(**_lowerCAmelCase						)

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



class   __A (							_SCREAMING_SNAKE_CASE  ):



   """simple docstring"""







   A_												=				version.parse('1.11'  )

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

   @property
   def snake_case_(      self						)->       Any:
      return 1e-5










class 			lowerCamelCase_				:


 '''simple docstring'''







 def __init__(				self    :						str		):
       SCREAMING_SNAKE_CASE_      		=     {}



 def  lowerCAmelCase_    (				self    :						List[str]		):
       print(self.vertex		)
       for i in self.vertex:
             print(_lowerCAmelCase							,							' -> '							,							' -> '.join([str(_lowerCAmelCase		) for j in self.vertex[i]]		)		)



 def  lowerCAmelCase_    (				self    :						Union[str, Any]							,							_lowerCAmelCase    :						int							,							_lowerCAmelCase    :						int		):
       # check if vertex is already present,
       if from_vertex in self.vertex:
             self.vertex[from_vertex].append(_lowerCAmelCase		)
       else:
             # else make a new vertex
             SCREAMING_SNAKE_CASE_      		=     [to_vertex]



 def  lowerCAmelCase_    (				self    :						Optional[Any]		):
       # visited array for storing already visited nodes
       SCREAMING_SNAKE_CASE_      		=     [False] * len(self.vertex		)

       # call the recursive helper function
       for i in range(len(self.vertex		)		):
             if not visited[i]:
                   self.dfs_recursive(_lowerCAmelCase							,							_lowerCAmelCase		)




 def  lowerCAmelCase_    (				self    :						Tuple							,							_lowerCAmelCase    :						int							,							_lowerCAmelCase    :						list		):
       # mark start vertex as visited
       SCREAMING_SNAKE_CASE_      		=     True

       print(_lowerCAmelCase							,							end=' '		)

       # Recur for all the vertices that are adjacent to this node
       for i in self.vertex:
             if not visited[i]:
                   self.dfs_recursive(_lowerCAmelCase							,							_lowerCAmelCase		)


if __name__ == "__main__":
   lowerCamelCase__					:  List[Any]      							=				Graph()
   g.add_edge(0, 1)
   g.add_edge(0, 2)
   g.add_edge(1, 2)
   g.add_edge(2, 0)
   g.add_edge(2, 3)
   g.add_edge(3, 3)

   g.print_graph()
   print('DFS:')
   g.dfs()

   # OUTPUT:
   # 0  ->  1 -> 2
   # 1  ->  2
   # 2  ->  0 -> 3
   # 3  ->  3
   # DFS:
   #  0 1 2 3