


'''simple docstring'''




class 					a			:
 '''simple docstring'''




 def __init__(    self		,      lowerCamelCase_		,      lowerCamelCase_=None		,      lowerCamelCase_=None      )      ->    Dict:
    _a					:  Optional[int]						=  data
    _a					:  str						=  previous
    _a					:  Optional[Any]						=  next_node




 def __str__(    self      )      ->    str:
    return F'''{self.data}'''




 def   __UpperCamelCase   (    self      )      ->    int:
    return self.data




 def   __UpperCamelCase   (    self      )      ->    Dict:
    return self.next




 def   __UpperCamelCase   (    self      )      ->    int:
    return self.previous







class 					a			:
 '''simple docstring'''




 def __init__(    self		,      lowerCamelCase_      )      ->    Tuple:
    _a					:  Dict						=  head




 def __iter__(    self      )      ->    Any:
    return self




 def   __UpperCamelCase   (    self      )      ->    Tuple:




    if not self.current:
       raise StopIteration
    else:
       _a					:  List[str]						=  self.current.get_data()
       _a					:  Tuple						=  self.current.get_next()
       return value







class 					a			:
 '''simple docstring'''




 def __init__(    self      )      ->    Optional[Any]:
    _a					:  Any						=  None  # First node in list
    _a					:  Optional[int]						=  None  # Last node in list




 def __str__(    self      )      ->    Any:
    _a					:  List[Any]						=  self.head
    _a					:  Optional[Any]						=  []
    while current is not None:
       nodes.append(current.get_data()      )
       _a					:  List[str]						=  current.get_next()
    return " ".join(str(__SCREAMING_SNAKE_CASE      ) for node in nodes      )




 def __contains__(    self		,      lowerCamelCase_      )      ->    Optional[Any]:
    _a					:  Any						=  self.head
    while current:
       if current.get_data() == value:
          return True
       _a					:  int						=  current.get_next()
    return False




 def __iter__(    self      )      ->    Optional[Any]:
    return LinkedListIterator(self.head      )




 def   __UpperCamelCase   (    self      )      ->    Union[str, Any]:




    if self.head:
       return self.head.get_data()
    return None




 def   __UpperCamelCase   (    self      )      ->    Tuple:




    if self.tail:
       return self.tail.get_data()
    return None




 def   __UpperCamelCase   (    self		,      lowerCamelCase_      )      ->    None:




    if self.head is None:
       _a					:  int						=  node
       _a					:  Any						=  node
    else:
       self.insert_before_node(self.head		,      __SCREAMING_SNAKE_CASE      )




 def   __UpperCamelCase   (    self		,      lowerCamelCase_      )      ->    None:




    if self.head is None:
       self.set_head(__SCREAMING_SNAKE_CASE      )
    else:
       self.insert_after_node(self.tail		,      __SCREAMING_SNAKE_CASE      )




 def   __UpperCamelCase   (    self		,      lowerCamelCase_      )      ->    None:
    _a					:  Union[str, Any]						=  Node(__SCREAMING_SNAKE_CASE      )
    if self.head is None:
       self.set_head(__SCREAMING_SNAKE_CASE      )
    else:
       self.set_tail(__SCREAMING_SNAKE_CASE      )




 def   __UpperCamelCase   (    self		,      lowerCamelCase_		,      lowerCamelCase_      )      ->    None:
    _a					:  Tuple						=  node
    _a					:  int						=  node.previous

    if node.get_previous() is None:
       _a					:  Optional[int]						=  node_to_insert
    else:
       _a					:  Union[str, Any]						=  node_to_insert

    _a					:  Dict						=  node_to_insert




 def   __UpperCamelCase   (    self		,      lowerCamelCase_		,      lowerCamelCase_      )      ->    None:
    _a					:  Any						=  node
    _a					:  Any						=  node.next

    if node.get_next() is None:
       _a					:  int						=  node_to_insert
    else:
       _a					:  int						=  node_to_insert

    _a					:  Optional[Any]						=  node_to_insert




 def   __UpperCamelCase   (    self		,      lowerCamelCase_		,      lowerCamelCase_      )      ->    None:
    _a					:  List[str]						=  1
    _a					:  Tuple						=  Node(__SCREAMING_SNAKE_CASE      )
    _a					:  Tuple						=  self.head
    while node:
       if current_position == position:
          self.insert_before_node(__SCREAMING_SNAKE_CASE		,      __SCREAMING_SNAKE_CASE      )
          return
       current_position += 1
       _a					:  Dict						=  node.next
    self.insert_after_node(self.tail		,      __SCREAMING_SNAKE_CASE      )




 def   __UpperCamelCase   (    self		,      lowerCamelCase_      )      ->    Node:
    _a					:  str						=  self.head
    while node:
       if node.get_data() == item:
          return node
       _a					:  List[Any]						=  node.get_next()
    raise Exception('Node not found'      )




 def   __UpperCamelCase   (    self		,      lowerCamelCase_      )      ->    Union[str, Any]:




    if (node := self.get_node(__SCREAMING_SNAKE_CASE      )) is not None:
       if node == self.head:
          _a					:  List[str]						=  self.head.get_next()

       if node == self.tail:
          _a					:  Optional[Any]						=  self.tail.get_previous()

       self.remove_node_pointers(__SCREAMING_SNAKE_CASE      )




 @staticmethod
 def   __UpperCamelCase   (    lowerCamelCase_      )      ->    None:




    if node.get_next():
       _a					:  int						=  node.previous

    if node.get_previous():
       _a					:  int						=  node.next

    _a					:  Tuple						=  None
    _a					:  str						=  None




 def   __UpperCamelCase   (    self      )      ->    Tuple:
    return self.head is None





def    UpperCAmelCase_  (       ):
   '''simple docstring'''












if __name__ == "__main__":
 import doctest

 doctest.testmod()








'''simple docstring'''



from collections import OrderedDict
from typing import Mapping

from packaging import version

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


UpperCAmelCase_							:	int	     =		logging.get_logger(__name__)

UpperCAmelCase_							:	Dict	     =		{
    '''microsoft/swin-tiny-patch4-window7-224''': (
        '''https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json'''
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}





class      lowerCAmelCase (			__lowerCAmelCase					, __lowerCAmelCase):
       __lowercase	:   List[Any]										=      '''swin'''

       __lowercase	:   str										=      {
           '''num_attention_heads''': '''num_heads''',
           '''num_hidden_layers''': '''num_layers''',
       }


       def __init__( self     ,	__SCREAMING_SNAKE_CASE=224     ,	__SCREAMING_SNAKE_CASE=4     ,	__SCREAMING_SNAKE_CASE=3     ,	__SCREAMING_SNAKE_CASE=96     ,	__SCREAMING_SNAKE_CASE=[2, 2, 6, 2]     ,	__SCREAMING_SNAKE_CASE=[3, 6, 12, 24]     ,	__SCREAMING_SNAKE_CASE=7     ,	__SCREAMING_SNAKE_CASE=4.0     ,	__SCREAMING_SNAKE_CASE=True     ,	__SCREAMING_SNAKE_CASE=0.0     ,	__SCREAMING_SNAKE_CASE=0.0     ,	__SCREAMING_SNAKE_CASE=0.1     ,	__SCREAMING_SNAKE_CASE="gelu"     ,	__SCREAMING_SNAKE_CASE=False     ,	__SCREAMING_SNAKE_CASE=0.02     ,	__SCREAMING_SNAKE_CASE=1E-5     ,	__SCREAMING_SNAKE_CASE=32     ,	__SCREAMING_SNAKE_CASE=None     ,	__SCREAMING_SNAKE_CASE=None     ,	**__SCREAMING_SNAKE_CASE     ,	)   ->	int:



            '''simple docstring'''




            super().__init__(**__SCREAMING_SNAKE_CASE	)

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





class      lowerCAmelCase (			__lowerCAmelCase):
       __lowercase	:   Optional[int]										=      version.parse('''1.11''')


       @property
       def    lowerCAmelCase   ( self	)   ->	Mapping[str, Mapping[int, str]]:



            '''simple docstring'''




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




       @property
       def    lowerCAmelCase   ( self	)   ->	float:



            '''simple docstring'''




            return 1E-4






