'''simple docstring'''

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


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

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


class 					_lowercase						(   lowerCAmelCase		,lowerCAmelCase ):
      '''simple docstring'''


      UpperCAmelCase_   :   Dict   				= '''bit'''
      UpperCAmelCase_   :   Dict   				= ['''preactivation''', '''bottleneck''']
      UpperCAmelCase_   :   Optional[int]   				= ['''SAME''', '''VALID''']




      def __init__(					self       ,lowerCamelCase_=3       ,lowerCamelCase_=64       ,lowerCamelCase_=[256, 512, 1024, 2048]       ,lowerCamelCase_=[3, 4, 6, 3]       ,lowerCamelCase_="preactivation"       ,lowerCamelCase_="relu"       ,lowerCamelCase_=None       ,lowerCamelCase_=32       ,lowerCamelCase_=0.0       ,lowerCamelCase_=False       ,lowerCamelCase_=32       ,lowerCamelCase_=1       ,lowerCamelCase_=None       ,lowerCamelCase_=None       ,**lowerCamelCase_       ,)      ->      Union[str, Any]:



         '''simple docstring'''



         super().__init__(**lowerCamelCase_				)
         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:
               UpperCAmelCase__				:					int 					=	global_padding.upper()
            else:
               raise ValueError(f'''Padding strategy {global_padding} not supported'''				)
         UpperCAmelCase__				:					int 					=	num_channels
         UpperCAmelCase__				:					List[Any] 					=	embedding_size
         UpperCAmelCase__				:					Optional[int] 					=	hidden_sizes
         UpperCAmelCase__				:					Dict 					=	depths
         UpperCAmelCase__				:					Dict 					=	layer_type
         UpperCAmelCase__				:					Any 					=	hidden_act
         UpperCAmelCase__				:					Optional[Any] 					=	global_padding
         UpperCAmelCase__				:					Tuple 					=	num_groups
         UpperCAmelCase__				:					Dict 					=	drop_path_rate
         UpperCAmelCase__				:					List[Any] 					=	embedding_dynamic_padding
         UpperCAmelCase__				:					Union[str, Any] 					=	output_stride
         UpperCAmelCase__				:					List[Any] 					=	width_factor

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





'''simple docstring'''

from __future__ import annotations







def __UpperCamelCase( _A       :					list[int]	,      _A       :					int	,      _A       :					int	,      _A       :					int     ):
   '''simple docstring'''
   if (direction == 1 and array[indexa] > array[indexa]) or (
       direction == 0 and array[indexa] < array[indexa]
   ):
      UpperCAmelCase__					,   UpperCAmelCase__				:					Union[str, Any] 					=	array[indexa], array[indexa]







def __UpperCamelCase( _A       :					list[int]	,      _A       :					int	,      _A       :					int	,      _A       :					int     ):
   '''simple docstring'''
   if length > 1:
      UpperCAmelCase__				:					List[Any] 					=	int(length / 2     )
      for i in range(_A	,      low + middle     ):
         comp_and_swap(_A	,      _A	,      i + middle	,      _A     )
      bitonic_merge(_A	,      _A	,      _A	,      _A     )
      bitonic_merge(_A	,      low + middle	,      _A	,      _A     )







def __UpperCamelCase( _A       :					list[int]	,      _A       :					int	,      _A       :					int	,      _A       :					int     ):
   '''simple docstring'''
   if length > 1:
      UpperCAmelCase__				:					Optional[int] 					=	int(length / 2     )
      bitonic_sort(_A	,      _A	,      _A	,      1     )
      bitonic_sort(_A	,      low + middle	,      _A	,      0     )
      bitonic_merge(_A	,      _A	,      _A	,      _A     )


if __name__ == "__main__":
  UpperCamelCase__  :						Dict					=      input('Enter numbers separated by a comma:\n').strip()
  UpperCamelCase__  :						Tuple					=      [int(item.strip()) for item in user_input.split(',')]

  bitonic_sort(unsorted, 0, len(unsorted), 1)
  print('\nSorted array in ascending order is: ', end='')
  print(*unsorted, sep=', ')

  bitonic_merge(unsorted, 0, len(unsorted), 0)
  print('Sorted array in descending order is: ', end='')
  print(*unsorted, sep=', ')




