


'''simple docstring'''

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


a_  :				Optional[Any]						= logging.get_logger(__name__)

a_  :				List[str]						= {
    """shi-labs/nat-mini-in1k-224""": """https://huggingface.co/shi-labs/nat-mini-in1k-224/resolve/main/config.json""",
    # See all Nat models at https://huggingface.co/models?filter=nat
}





class      snake_case    (    lowercase			,						lowercase			):





  """simple docstring"""




  _lowerCamelCase		    =  "nat"

  _lowerCamelCase		    =  {
      "num_attention_heads": "num_heads",
      "num_hidden_layers": "num_layers",
  }






  def __init__(    self			,  UpperCamelCase=4			,  UpperCamelCase=3			,  UpperCamelCase=64			,  UpperCamelCase=[3, 4, 6, 5]			,  UpperCamelCase=[2, 4, 8, 16]			,  UpperCamelCase=7			,  UpperCamelCase=3.0			,  UpperCamelCase=True			,  UpperCamelCase=0.0			,  UpperCamelCase=0.0			,  UpperCamelCase=0.1			,  UpperCamelCase="gelu"			,  UpperCamelCase=0.02			,  UpperCamelCase=1e-5			,  UpperCamelCase=0.0			,  UpperCamelCase=None			,  UpperCamelCase=None			,  **UpperCamelCase			,  ):







   """simple docstring"""
   super().__init__(**UpperCamelCase     )

   lowerCamelCase_      =  patch_size
   lowerCamelCase_      =  num_channels
   lowerCamelCase_      =  embed_dim
   lowerCamelCase_      =  depths
   lowerCamelCase_      =  len(UpperCamelCase     )
   lowerCamelCase_      =  num_heads
   lowerCamelCase_      =  kernel_size
   lowerCamelCase_      =  mlp_ratio
   lowerCamelCase_      =  qkv_bias
   lowerCamelCase_      =  hidden_dropout_prob
   lowerCamelCase_      =  attention_probs_dropout_prob
   lowerCamelCase_      =  drop_path_rate
   lowerCamelCase_      =  hidden_act
   lowerCamelCase_      =  layer_norm_eps
   lowerCamelCase_      =  initializer_range
   # we set the hidden_size attribute in order to make Nat work with VisionEncoderDecoderModel
   # this indicates the channel dimension after the last stage of the model
   lowerCamelCase_      =  int(embed_dim * 2 ** (len(UpperCamelCase     ) - 1)     )
   lowerCamelCase_      =  layer_scale_init_value
   lowerCamelCase_      =  ["stem"] + [f'''stage{idx}''' for idx in range(1			,  len(UpperCamelCase     ) + 1     )]
   lowerCamelCase_ ,lowerCamelCase_      =  get_aligned_output_features_output_indices(
       out_features=UpperCamelCase			,  out_indices=UpperCamelCase			,  stage_names=self.stage_names     )











"""simple docstring"""





from typing import Any






class      a						:






    def __init__(       self     :							Tuple       ,						__SCREAMING_SNAKE_CASE     :							Any					)     ->		List[Any]:
      lowerCamelCase_         =						data
      lowerCamelCase_         =						None






class      a						:






    def __init__(       self     :							Union[str, Any]					)     ->		List[Any]:
      lowerCamelCase_         =						None






    def    UpperCamelCase       (       self     :							Dict					)     ->		Optional[int]:
      lowerCamelCase_         =						self.head
      while temp is not None:
        print(temp.data       ,						end=' '					)
        lowerCamelCase_         =						temp.next
      print()






    def    UpperCamelCase       (       self     :							List[Any]       ,						__SCREAMING_SNAKE_CASE     :							Any					)     ->		Union[str, Any]:
      lowerCamelCase_         =						Node(__SCREAMING_SNAKE_CASE					)
      lowerCamelCase_         =						self.head
      lowerCamelCase_         =						new_node






    def    UpperCamelCase       (       self     :							Dict       ,						__SCREAMING_SNAKE_CASE     :							List[str]       ,						__SCREAMING_SNAKE_CASE     :							int					)     ->		Union[str, Any]:
      if node_data_a == node_data_a:
        return
      else:
        lowerCamelCase_         =						self.head
        while node_a is not None and node_a.data != node_data_a:
          lowerCamelCase_         =						node_a.next

        lowerCamelCase_         =						self.head
        while node_a is not None and node_a.data != node_data_a:
          lowerCamelCase_         =						node_a.next

        if node_a is None or node_a is None:
          return

        lowerCamelCase_     ,	lowerCamelCase_         =						node_a.data, node_a.data


if __name__ == "__main__":
  _SCREAMING_SNAKE_CASE					:				Optional[int]					    =						LinkedList()
  for i in range(5, 0, -1):
    ll.push(i)

  ll.print_list()

  ll.swap_nodes(1, 4)
  print('''After swapping''')
  ll.print_list()




