'''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


_a :						Any							= logging.get_logger(__name__)

_a :						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 		__A							(__magic_name__			,       __magic_name__ ):
       snake_case							:List[str]					     =       "swin"

       snake_case							:Tuple					     =       {
           "num_attention_heads": "num_heads",
           "num_hidden_layers": "num_layers",
       }






       def __init__(   self					,  UpperCamelCase_=2_24					,  UpperCamelCase_=4					,  UpperCamelCase_=3					,  UpperCamelCase_=96					,  UpperCamelCase_=[2, 2, 6, 2]					,  UpperCamelCase_=[3, 6, 12, 24]					,  UpperCamelCase_=7					,  UpperCamelCase_=4.0					,  UpperCamelCase_=True					,  UpperCamelCase_=0.0					,  UpperCamelCase_=0.0					,  UpperCamelCase_=0.1					,  UpperCamelCase_="gelu"					,  UpperCamelCase_=False					,  UpperCamelCase_=0.0_2					,  UpperCamelCase_=1E-5					,  UpperCamelCase_=32					,  UpperCamelCase_=None					,  UpperCamelCase_=None					,  **UpperCamelCase_					,  ):
              super().__init__(**a_   )

              __UpperCAmelCase	:					Union[str, Any]												=		image_size
              __UpperCAmelCase	:					List[str]												=		patch_size
              __UpperCAmelCase	:					Union[str, Any]												=		num_channels
              __UpperCAmelCase	:					List[str]												=		embed_dim
              __UpperCAmelCase	:					Optional[Any]												=		depths
              __UpperCAmelCase	:					Optional[int]												=		len(a_   )
              __UpperCAmelCase	:					Union[str, Any]												=		num_heads
              __UpperCAmelCase	:					Tuple												=		window_size
              __UpperCAmelCase	:					Optional[Any]												=		mlp_ratio
              __UpperCAmelCase	:					Union[str, Any]												=		qkv_bias
              __UpperCAmelCase	:					Dict												=		hidden_dropout_prob
              __UpperCAmelCase	:					Optional[Any]												=		attention_probs_dropout_prob
              __UpperCAmelCase	:					List[str]												=		drop_path_rate
              __UpperCAmelCase	:					Tuple												=		hidden_act
              __UpperCAmelCase	:					List[str]												=		use_absolute_embeddings
              __UpperCAmelCase	:					Tuple												=		layer_norm_eps
              __UpperCAmelCase	:					int												=		initializer_range
              __UpperCAmelCase	:					List[Any]												=		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
              __UpperCAmelCase	:					int												=		int(embed_dim * 2 ** (len(a_   ) - 1)   )
              __UpperCAmelCase	:					Any												=		["stem"] + [f"""stage{idx}""" for idx in range(1					,  len(a_   ) + 1   )]
              __UpperCAmelCase					,			__UpperCAmelCase	:					Optional[int]												=		get_aligned_output_features_output_indices(
                  out_features=a_					,  out_indices=a_					,  stage_names=self.stage_names   )






class 		__A							(__magic_name__ ):
       snake_case							:List[Any]					     =       version.parse("1.11" )






       @property
       def       _snake_case    (   self   ):
              return OrderedDict(
                  [
                      ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
                  ]   )







       @property
       def       _snake_case    (   self   ):
              return 1E-4











import random
from typing import Any







def     UpperCAmelCase_		(					snake_case__					)	->     list[Any]:



				"""simple docstring"""





				for _ in range(len(snake_case__					)					):
								lowerCAmelCase__		  =  random.randint(0    ,			len(snake_case__					) - 1					)
								lowerCAmelCase__		  =  random.randint(0    ,			len(snake_case__					) - 1					)
								lowerCAmelCase__  ,   lowerCAmelCase__		  =  data[b], data[a]
				return data


if __name__ == "__main__":
	_lowerCAmelCase	:   int    =   [0, 1, 2, 3, 4, 5, 6, 7]
	_lowerCAmelCase	:   Optional[Any]    =   ["python", "says", "hello", "!"]
	print("Fisher-Yates Shuffle:")
	print("List", integers, strings)
	print("FY Shuffle", fisher_yates_shuffle(integers), fisher_yates_shuffle(strings))
