




"""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


lowerCamelCase    :		Union[str, Any]			   =       logging.get_logger(__name__)

lowerCamelCase    :		Optional[int]			   =       {
    '''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   A(						SCREAMING_SNAKE_CASE__							,				SCREAMING_SNAKE_CASE__       ):



 '''simple docstring'''


 UpperCamelCase						       =						'swin'

 UpperCamelCase						       =						{
     'num_attention_heads': 'num_heads',
     'num_hidden_layers': 'num_layers',
 }

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

       """simple docstring"""






       super().__init__(**_SCREAMING_SNAKE_CASE  )

       lowerCamelCase_							=   image_size
       lowerCamelCase_							=   patch_size
       lowerCamelCase_							=   num_channels
       lowerCamelCase_							=   embed_dim
       lowerCamelCase_							=   depths
       lowerCamelCase_							=   len(_SCREAMING_SNAKE_CASE  )
       lowerCamelCase_							=   num_heads
       lowerCamelCase_							=   window_size
       lowerCamelCase_							=   mlp_ratio
       lowerCamelCase_							=   qkv_bias
       lowerCamelCase_							=   hidden_dropout_prob
       lowerCamelCase_							=   attention_probs_dropout_prob
       lowerCamelCase_							=   drop_path_rate
       lowerCamelCase_							=   hidden_act
       lowerCamelCase_							=   use_absolute_embeddings
       lowerCamelCase_							=   layer_norm_eps
       lowerCamelCase_							=   initializer_range
       lowerCamelCase_							=   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
       lowerCamelCase_							=   int(embed_dim * 2 ** (len(_SCREAMING_SNAKE_CASE  ) - 1)  )
       lowerCamelCase_							=   ["stem"] + [f"""stage{idx}""" for idx in range(1						,							len(_SCREAMING_SNAKE_CASE  ) + 1  )]
       lowerCamelCase_							=   get_aligned_output_features_output_indices(
           out_features=_SCREAMING_SNAKE_CASE						,							out_indices=_SCREAMING_SNAKE_CASE						,							stage_names=self.stage_names  )







class   A(						SCREAMING_SNAKE_CASE__       ):



 '''simple docstring'''


 UpperCamelCase						       =						version.parse('''1.11'''       )

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

       """simple docstring"""






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





 @property
 def     a__			(    self :  str  )       ->     float:

       """simple docstring"""






       return 1E-4









def       _SCREAMING_SNAKE_CASE      (							lowercase     :	str					):


      '''simple docstring'''



      if not all(char in '01' for char in bin_string					):
            raise ValueError('Non-binary value was passed to the function'					)
      if not bin_string:
            raise ValueError('Empty string was passed to the function'					)
      lowerCamelCase_							=   ''
      while len(lowercase					) % 3 != 0:
            lowerCamelCase_							=   '0' + bin_string
      lowerCamelCase_							=   [
          bin_string[index : index + 3]
          for index in range(len(lowercase					)					)
          if index % 3 == 0
      ]
      for bin_group in bin_string_in_3_list:
            lowerCamelCase_							=   0
            for index, val in enumerate(lowercase					):
                  oct_val += int(2 ** (2 - index) * int(lowercase					)					)
            oct_string += str(lowercase					)
      return oct_string


if __name__ == "__main__":
 from doctest import testmod

 testmod()



