





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


snake_case_           =      logging.get_logger(__name__)

snake_case_           =      {
    'google/vit-base-patch16-224': 'https://huggingface.co/vit-base-patch16-224/resolve/main/config.json',
    # See all ViT models at https://huggingface.co/models?filter=vit
}

class 		SCREAMING_SNAKE_CASE__    (	_UpperCAmelCase  ):
      A_						:    Tuple							=   'vit'


      def __init__(self	:				str    ,      a__	:				List[Any]=768    ,      a__	:				Tuple=12    ,      a__	:				Dict=12    ,      a__	:				List[Any]=3072    ,      a__	:				List[Any]="gelu"    ,      a__	:				Dict=0.0    ,      a__	:				int=0.0    ,      a__	:				int=0.0_2    ,      a__	:				str=1E-12    ,      a__	:				Optional[int]=224    ,      a__	:				Union[str, Any]=16    ,      a__	:				List[Any]=3    ,      a__	:				Optional[Any]=True    ,      a__	:				Any=16    ,      **a__	:				int    ,      ):





         """simple docstring"""



         super().__init__(**a__				)

         __snake_case								=       hidden_size
         __snake_case								=       num_hidden_layers
         __snake_case								=       num_attention_heads
         __snake_case								=       intermediate_size
         __snake_case								=       hidden_act
         __snake_case								=       hidden_dropout_prob
         __snake_case								=       attention_probs_dropout_prob
         __snake_case								=       initializer_range
         __snake_case								=       layer_norm_eps
         __snake_case								=       image_size
         __snake_case								=       patch_size
         __snake_case								=       num_channels
         __snake_case								=       qkv_bias
         __snake_case								=       encoder_stride






class 		SCREAMING_SNAKE_CASE__    (	_UpperCAmelCase  ):
      A_						:    str							=   version.parse('1.11'  )


      @property
      def        a			(self	:				Optional[Any]				):





         """simple docstring"""



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


      @property
      def        a			(self	:				int				):





         """simple docstring"""



         return 1E-4








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))

