


'''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


__snake_case    						=logging.get_logger(__name__)

__snake_case    						={
    """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 		UpperCAmelCase_      (  __lowercase       ,	__lowercase		):
     lowerCamelCase				:	Union[str, Any]		=     '''swin'''

     lowerCamelCase				:	Optional[Any]		=     {
         '''num_attention_heads''': '''num_heads''',
         '''num_hidden_layers''': '''num_layers''',
     }





     def __init__( self       :      int    ,      UpperCAmelCase__       :      List[Any]=2_2_4    ,      UpperCAmelCase__       :      Any=4    ,      UpperCAmelCase__       :      Dict=3    ,      UpperCAmelCase__       :      Union[str, Any]=9_6    ,      UpperCAmelCase__       :      Any=[2, 2, 6, 2]    ,      UpperCAmelCase__       :      List[str]=[3, 6, 1_2, 2_4]    ,      UpperCAmelCase__       :      List[Any]=7    ,      UpperCAmelCase__       :      Dict=4.0    ,      UpperCAmelCase__       :      Any=True    ,      UpperCAmelCase__       :      Any=0.0    ,      UpperCAmelCase__       :      Any=0.0    ,      UpperCAmelCase__       :      Union[str, Any]=0.1    ,      UpperCAmelCase__       :      Dict="gelu"    ,      UpperCAmelCase__       :      Optional[Any]=False    ,      UpperCAmelCase__       :      int=0.02    ,      UpperCAmelCase__       :      Optional[Any]=1E-5    ,      UpperCAmelCase__       :      List[str]=3_2    ,      UpperCAmelCase__       :      Dict=None    ,      UpperCAmelCase__       :      Dict=None    ,      **UpperCAmelCase__       :      Dict    ,      )				->  int:
        super().__init__(**UpperCAmelCase__    )

        lowerCAmelCase     =			image_size
        lowerCAmelCase     =			patch_size
        lowerCAmelCase     =			num_channels
        lowerCAmelCase     =			embed_dim
        lowerCAmelCase     =			depths
        lowerCAmelCase     =			len(UpperCAmelCase__    )
        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(UpperCAmelCase__    ) - 1)    )
        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    )




class 		UpperCAmelCase_      (  __lowercase		):
     lowerCamelCase				:	Dict		=     version.parse('''1.11'''		)





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





     @property
     def 							__UpperCAmelCase      ( self       :      Dict    )				->  float:
        return 1E-4







def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    List[str]:
       if index == r:
              for j in range(SCREAMING_SNAKE_CASE__				):
                     print(data[j]					,	end=""" """				)
              print(""" """				)
              return
       #  When no more elements are there to put in data[]
       if i >= n:
              return
       # current is included, put next at next location
       lowercase							:     Tuple       	=      arr[i]
       combination_util(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	index + 1					,	SCREAMING_SNAKE_CASE__					,	i + 1				)
       # current is excluded, replace it with
       # next (Note that i+1 is passed, but
       # index is not changed)
       combination_util(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	i + 1				)
       # The main function that prints all combinations
       # of size r in arr[] of size n. This function
       # mainly uses combinationUtil()







def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    List[str]:
       # A temporary array to store all combination one by one
       lowercase							:     Optional[int]       	=      [0] * r
       # Print all combination using temporary array 'data[]'
       combination_util(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	0					,	SCREAMING_SNAKE_CASE__					,	0				)


if __name__ == "__main__":
  # Driver code to check the function above
  lowercase  :					int						    =							[10, 20, 30, 40, 50]
  print_combination(arr, len(arr), 3)
  # This code is contributed by Ambuj sahu
