




'''simple docstring'''





from __future__ import annotations

from collections.abc import Iterable, Iterator
from dataclasses import dataclass

_lowerCAmelCase										=     (3, 9, -11, 0, 7, 5, 1, -1)
_lowerCAmelCase										=     (4, 6, 2, 0, 8, 10, 3, -2)






@dataclass
class 	lowerCAmelCase_:
  '''simple docstring'''




  __lowercase							:				int
  __lowercase							:				Node | None







class 	lowerCAmelCase_:
  '''simple docstring'''




  def __init__(   self  ,__UpperCAmelCase				)   ->		None:
      lowerCAmelCase__			:  Node | None											= None
      for i in sorted(__UpperCAmelCase  ,reverse=__UpperCAmelCase				):
          lowerCAmelCase__			:  List[Any]											= Node(__UpperCAmelCase  ,self.head				)




  def __iter__(   self				)   ->		Iterator[int]:
      lowerCAmelCase__			:  Optional[int]											= self.head
      while node:
          yield node.data
          lowerCAmelCase__			:  Optional[Any]											= node.next_node




  def __len__(   self				)   ->		int:
      return sum(1 for _ in self				)






  def __str__(   self				)   ->		str:
      return " -> ".join([str(__UpperCAmelCase				) for node in self]				)







def        _SCREAMING_SNAKE_CASE  (	UpperCamelCase							,   UpperCamelCase      ):



    """simple docstring"""





    return SortedLinkedList(list(UpperCamelCase      ) + list(UpperCamelCase      )      )


if __name__ == "__main__":
 import doctest

 doctest.testmod()
 _lowerCAmelCase										=     SortedLinkedList
 print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))







'''simple docstring'''





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


_lowerCAmelCase										=     logging.get_logger(__name__)

_lowerCAmelCase										=     {
    '''facebook/convnextv2-tiny-1k-224''': '''https://huggingface.co/facebook/convnextv2-tiny-1k-224/resolve/main/config.json''',
}






class 	lowerCAmelCase_(    SCREAMING_SNAKE_CASE_						,			SCREAMING_SNAKE_CASE_					):
  '''simple docstring'''




  __lowercase							:				Tuple           =				'''convnextv2'''




  def __init__(   self  ,__UpperCAmelCase=3  ,__UpperCAmelCase=4  ,__UpperCAmelCase=4  ,__UpperCAmelCase=None  ,__UpperCAmelCase=None  ,__UpperCAmelCase="gelu"  ,__UpperCAmelCase=0.0_2  ,__UpperCAmelCase=1E-12  ,__UpperCAmelCase=0.0  ,__UpperCAmelCase=224  ,__UpperCAmelCase=None  ,__UpperCAmelCase=None  ,**__UpperCAmelCase  ,)   ->		Union[str, Any]:
      super().__init__(**__UpperCAmelCase				)

      lowerCAmelCase__			:  int											= num_channels
      lowerCAmelCase__			:  List[Any]											= patch_size
      lowerCAmelCase__			:  Union[str, Any]											= num_stages
      lowerCAmelCase__			:  Tuple											= [96, 192, 384, 768] if hidden_sizes is None else hidden_sizes
      lowerCAmelCase__			:  str											= [3, 3, 9, 3] if depths is None else depths
      lowerCAmelCase__			:  Optional[Any]											= hidden_act
      lowerCAmelCase__			:  str											= initializer_range
      lowerCAmelCase__			:  List[str]											= layer_norm_eps
      lowerCAmelCase__			:  Dict											= drop_path_rate
      lowerCAmelCase__			:  int											= image_size
      lowerCAmelCase__			:  int											= ["""stem"""] + [F"""stage{idx}""" for idx in range(1  ,len(self.depths				) + 1				)]
      lowerCAmelCase__				,       lowerCAmelCase__			:  Tuple											= get_aligned_output_features_output_indices(
          out_features=__UpperCAmelCase  ,out_indices=__UpperCAmelCase  ,stage_names=self.stage_names				)


