



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


lowerCamelCase		       =      logging.get_logger(__name__)

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


class 				_a						(       SCREAMING_SNAKE_CASE       ,  SCREAMING_SNAKE_CASE			):





							'''simple docstring'''

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



							def __init__(							self ,					__UpperCAmelCase=3 ,					__UpperCAmelCase=64 ,					__UpperCAmelCase=[256, 512, 1024, 2048] ,					__UpperCAmelCase=[3, 4, 6, 3] ,					__UpperCAmelCase="preactivation" ,					__UpperCAmelCase="relu" ,					__UpperCAmelCase=None ,					__UpperCAmelCase=32 ,					__UpperCAmelCase=0.0 ,					__UpperCAmelCase=False ,					__UpperCAmelCase=32 ,					__UpperCAmelCase=1 ,					__UpperCAmelCase=None ,					__UpperCAmelCase=None ,					**__UpperCAmelCase ,					):







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

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



'''simple docstring'''

import baseaa







def __UpperCamelCase( _A       :					str     ):
   '''simple docstring'''
   return baseaa.baaencode(string.encode('''utf-8'''     )     )







def __UpperCamelCase( _A       :					bytes     ):
   '''simple docstring'''
   return baseaa.baadecode(_A     ).decode('''utf-8'''     )


if __name__ == "__main__":
  UpperCamelCase__  :						List[str]					=      'Hello World!'
  UpperCamelCase__  :						str					=      baseaa_encode(test)
  print(encoded)

  UpperCamelCase__  :						int					=      baseaa_decode(encoded)
  print(decoded)




