

'''simple docstring'''





from __future__ import annotations

UpperCamelCase_						:      int       =						'''#'''

class        _a    :






     def __init__(			self   )							->      None:
          _snake_case							=				{}






     def     _lowercase     (			self ,_SCREAMING_SNAKE_CASE   )							->      None:
          _snake_case							=				self._trie
          for char in text:
               if char not in trie:
                    _snake_case							=				{}
               _snake_case							=				trie[char]
          _snake_case							=				True






     def     _lowercase     (			self ,_SCREAMING_SNAKE_CASE   )							->      tuple | list:
          _snake_case							=				self._trie
          for char in prefix:
               if char in trie:
                    _snake_case							=				trie[char]
               else:
                    return []
          return self._elements(_SCREAMING_SNAKE_CASE   )






     def     _lowercase     (			self ,_SCREAMING_SNAKE_CASE   )							->      tuple:
          _snake_case							=				[]
          for c, v in d.items():
               _snake_case							=				[" "] if c == END else [(c + s) for s in self._elements(_SCREAMING_SNAKE_CASE   )]
               result.extend(_SCREAMING_SNAKE_CASE   )
          return tuple(_SCREAMING_SNAKE_CASE   )







UpperCamelCase_						:      Dict       =						Trie()
UpperCamelCase_						:      List[Any]       =						('''depart''', '''detergent''', '''daring''', '''dog''', '''deer''', '''deal''')
for word in words:
   trie.insert_word(word)





def      __a     (       _UpperCamelCase:   str   )						->			tuple:

     """simple docstring"""




     _snake_case							=				trie.find_word(_UpperCamelCase   )
     return tuple(string + word for word in suffixes   )





def      __a     (       )						->			None:

     """simple docstring"""




     print(autocomplete_using_trie("de"   )   )


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   main()








'''simple docstring'''





from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCamelCase_						:      int       =						logging.get_logger(__name__)

UpperCamelCase_						:      Tuple       =						{
    '''sayakpaul/vit-msn-base''': '''https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json''',
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}

class        _a    (						__lowerCAmelCase							):
     SCREAMING_SNAKE_CASE_							:   List[str]       =						"""vit_msn"""






     def __init__(			self ,_SCREAMING_SNAKE_CASE=768 ,_SCREAMING_SNAKE_CASE=12 ,_SCREAMING_SNAKE_CASE=12 ,_SCREAMING_SNAKE_CASE=3_072 ,_SCREAMING_SNAKE_CASE="gelu" ,_SCREAMING_SNAKE_CASE=0.0 ,_SCREAMING_SNAKE_CASE=0.0 ,_SCREAMING_SNAKE_CASE=0.0_2 ,_SCREAMING_SNAKE_CASE=1e-06 ,_SCREAMING_SNAKE_CASE=224 ,_SCREAMING_SNAKE_CASE=16 ,_SCREAMING_SNAKE_CASE=3 ,_SCREAMING_SNAKE_CASE=True ,**_SCREAMING_SNAKE_CASE ,)							->      int:
          super().__init__(**_SCREAMING_SNAKE_CASE   )

          _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


