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


lowercase__         =logging.get_logger(__name__)

lowercase__         ={
    '''google/bit-50''': '''https://huggingface.co/google/bit-50/resolve/main/config.json''',
}



class 						UpperCamelCase__    (			a_       ,a_       ):
   _SCREAMING_SNAKE_CASE :				Optional[Any]      			= "bit"
   _SCREAMING_SNAKE_CASE :				int      			= ["preactivation", "bottleneck"]
   _SCREAMING_SNAKE_CASE :				Optional[Any]      			= ["SAME", "VALID"]
   def __init__(self					:   int   ,							snake_case_					:   Optional[int]=3   ,							snake_case_					:   int=6_4   ,							snake_case_					:   Optional[int]=[2_5_6, 5_1_2, 1_0_2_4, 2_0_4_8]   ,							snake_case_					:   Union[str, Any]=[3, 4, 6, 3]   ,							snake_case_					:   List[Any]="preactivation"   ,							snake_case_					:   Dict="relu"   ,							snake_case_					:   Dict=None   ,							snake_case_					:   Optional[Any]=3_2   ,							snake_case_					:   Any=0.0   ,							snake_case_					:   Optional[Any]=False   ,							snake_case_					:   List[Any]=3_2   ,							snake_case_					:   Optional[Any]=1   ,							snake_case_					:   Optional[int]=None   ,							snake_case_					:   int=None   ,							**snake_case_					:   List[str]   ,							):
    super().__init__(**lowercase_  )
    if layer_type not in self.layer_types:
     raise ValueError(f"layer_type={layer_type} is not one of {','.join(self.layer_types  )}"  )
    if global_padding is not None:
     if global_padding.upper() in self.supported_padding:
      __a					:    Optional[Any]													=    global_padding.upper()
     else:
      raise ValueError(f"Padding strategy {global_padding} not supported"  )
    __a					:    int													=    num_channels
    __a					:    int													=    embedding_size
    __a					:    Any													=    hidden_sizes
    __a					:    int													=    depths
    __a					:    Union[str, Any]													=    layer_type
    __a					:    Optional[int]													=    hidden_act
    __a					:    int													=    global_padding
    __a					:    List[Any]													=    num_groups
    __a					:    List[Any]													=    drop_path_rate
    __a					:    Union[str, Any]													=    embedding_dynamic_padding
    __a					:    int													=    output_stride
    __a					:    Optional[Any]													=    width_factor

    __a					:    List[str]													=    ['''stem'''] + [f"stage{idx}" for idx in range(1   ,							len(lowercase_  ) + 1  )]
    __a					:    Any													=    get_aligned_output_features_output_indices(
        out_features=lowercase_   ,							out_indices=lowercase_   ,							stage_names=self.stage_names  )



"""simple docstring"""





def     __SCREAMING_SNAKE_CASE    ( A_					):
	for i in range(len(A_					) - 1		,	0		,	-1					):
		lowerCAmelCase__      :		Optional[Any]    							=      False

		for j in range(A_		,	0		,	-1					):
			if unsorted[j] < unsorted[j - 1]:
				lowerCAmelCase__							,lowerCAmelCase__      :		Union[str, Any]    							=      unsorted[j - 1], unsorted[j]
				lowerCAmelCase__      :		Dict    							=      True

		for j in range(A_					):
			if unsorted[j] > unsorted[j + 1]:
				lowerCAmelCase__							,lowerCAmelCase__      :		Union[str, Any]    							=      unsorted[j + 1], unsorted[j]
				lowerCAmelCase__      :		Any    							=      True

		if not swapped:
			break
	return unsorted


if __name__ == "__main__":
							import doctest

							doctest.testmod()
							__UpperCamelCase    : int				 =						input('''Enter numbers separated by a comma:\n''').strip()
							__UpperCamelCase    : Optional[Any]				 =						[int(item) for item in user_input.split(''',''')]
							print(F'''{cocktail_shaker_sort(unsorted) = }''')




