





'''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			    =    logging.get_logger(__name__)

__UpperCAmelCase			    =    {
    """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__ ( a_		, a_       ):




					"""simple docstring"""
					SCREAMING_SNAKE_CASE__            =     '''swin'''

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


					def __init__(		self							:       int	,		lowerCamelCase_							:       Optional[Any]=2_24	,		lowerCamelCase_							:       Union[str, Any]=4	,		lowerCamelCase_							:       int=3	,		lowerCamelCase_							:       Optional[int]=96	,		lowerCamelCase_							:       Dict=[2, 2, 6, 2]	,		lowerCamelCase_							:       Union[str, Any]=[3, 6, 12, 24]	,		lowerCamelCase_							:       int=7	,		lowerCamelCase_							:       List[str]=4.0	,		lowerCamelCase_							:       Optional[Any]=True	,		lowerCamelCase_							:       List[str]=0.0	,		lowerCamelCase_							:       Dict=0.0	,		lowerCamelCase_							:       Union[str, Any]=0.1	,		lowerCamelCase_							:       Tuple="gelu"	,		lowerCamelCase_							:       Optional[int]=False	,		lowerCamelCase_							:       Optional[int]=0.02	,		lowerCamelCase_							:       str=1e-5	,		lowerCamelCase_							:       Dict=32	,		lowerCamelCase_							:       int=None	,		lowerCamelCase_							:       List[str]=None	,		**lowerCamelCase_							:       Dict	,		):

							'''simple docstring'''



							super().__init__(**_a		)

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







class 			UpperCamelCase__ ( a_       ):




					"""simple docstring"""
					SCREAMING_SNAKE_CASE__            =     version.parse('''1.11'''       )


					@property
					def lowerCamelCase_       (		self							:       Union[str, Any]		):

							'''simple docstring'''



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



					@property
					def lowerCamelCase_       (		self							:       Union[str, Any]		):

							'''simple docstring'''



							return 1e-4





"""simple docstring"""




def   __magic_name__	(      __snake_case				:       list  ) ->				list:

       if len(__snake_case  ) < 2:
              return collection

       def circle_sort_util(__snake_case				:       list     , __snake_case				:       int     , __snake_case				:       int  ) -> bool:
              lowercase    :				List[Any]       		=							False

              if low == high:
                     return swapped

              lowercase    :				Union[str, Any]       		=							low
              lowercase    :				str       		=							high

              while left < right:
                     if collection[left] > collection[right]:
                            lowercase		,    lowercase    :				Optional[Any]       		=							(
                                collection[right],
                                collection[left],
                            )
                            lowercase    :				Tuple       		=							True

                     left += 1
                     right -= 1

              if left == right and collection[left] > collection[right + 1]:
                     lowercase		,    lowercase    :				str       		=							(
                         collection[right + 1],
                         collection[left],
                     )

                     lowercase    :				Union[str, Any]       		=							True

              lowercase    :				Any       		=							low + int((high - low) / 2  )
              lowercase    :				Tuple       		=							circle_sort_util(__snake_case     , __snake_case     , __snake_case  )
              lowercase    :				List[Any]       		=							circle_sort_util(__snake_case     , mid + 1     , __snake_case  )

              return swapped or left_swap or right_swap

       lowercase    :				int       		=							True

       while is_not_sorted is True:
              lowercase    :				int       		=							circle_sort_util(__snake_case     , 0     , len(__snake_case  ) - 1  )

       return collection


if __name__ == "__main__":
   _A			:       str   		=       input("""Enter numbers separated by a comma:\n""").strip()
   _A			:       Dict   		=       [int(item) for item in user_input.split(""",""")]
   print(circle_sort(unsorted))


