





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


snake_case_           =      logging.get_logger(__name__)

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

class 		SCREAMING_SNAKE_CASE__    (	_UpperCAmelCase						,				_UpperCAmelCase  ):
      A_						:    Dict							=   'bit'
      A_						:    Dict							=   ['preactivation', 'bottleneck']
      A_						:    Optional[Any]							=   ['SAME', 'VALID']


      def __init__(self	:				Optional[Any]    ,      a__	:				List[str]=3    ,      a__	:				Dict=64    ,      a__	:				Optional[Any]=[256, 512, 1024, 2048]    ,      a__	:				Dict=[3, 4, 6, 3]    ,      a__	:				List[str]="preactivation"    ,      a__	:				str="relu"    ,      a__	:				Tuple=None    ,      a__	:				int=32    ,      a__	:				str=0.0    ,      a__	:				Optional[Any]=False    ,      a__	:				List[str]=32    ,      a__	:				Dict=1    ,      a__	:				Optional[Any]=None    ,      a__	:				str=None    ,      **a__	:				Optional[int]    ,      ):





         """simple docstring"""



         super().__init__(**a__				)
         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:
               __snake_case								=       global_padding.upper()
            else:
               raise ValueError(f"""Padding strategy {global_padding} not supported"""				)
         __snake_case								=       num_channels
         __snake_case								=       embedding_size
         __snake_case								=       hidden_sizes
         __snake_case								=       depths
         __snake_case								=       layer_type
         __snake_case								=       hidden_act
         __snake_case								=       global_padding
         __snake_case								=       num_groups
         __snake_case								=       drop_path_rate
         __snake_case								=       embedding_dynamic_padding
         __snake_case								=       output_stride
         __snake_case								=       width_factor

         __snake_case								=       ['''stem'''] + [f"""stage{idx}""" for idx in range(1    ,      len(a__				) + 1				)]
         __snake_case	,     __snake_case								=       get_aligned_output_features_output_indices(
             out_features=a__    ,      out_indices=a__    ,      stage_names=self.stage_names				)








from __future__ import annotations

import collections
import pprint
from pathlib import Path






def lowerCamelCase__   (							snake_case_     :  str	)				->    str:
   return "".join(sorted(snake_case_	)	)






def lowerCamelCase__   (							snake_case_     :  str	)				->    list[str]:
   return word_by_signature[signature(snake_case_	)]


snake_case_           =      Path(__file__).parent.joinpath('words.txt').read_text(encoding='utf-8')
snake_case_           =      sorted({word.strip().lower() for word in data.splitlines()})

snake_case_           =      collections.defaultdict(list)
for word in word_list:
    word_by_signature[signature(word)].append(word)

if __name__ == "__main__":
    snake_case_           =      {word: anagram(word) for word in word_list if len(anagram(word)) > 1}

    with open('anagrams.txt', 'w') as file:
        file.write('all_anagrams = \n ')
        file.write(pprint.pformat(all_anagrams))

