



class   snake_case_ :




       """simple docstring"""






       def __init__(     self):

             """simple docstring"""





             UpperCAmelCase_  :	dict[str, TrieNode]				      =		{}  # Mapping from char to TrieNode
             UpperCAmelCase_  :	Tuple				      =		False



       def  A_   (     self     ,lowercase):

             """simple docstring"""





             for word in words:
                   self.insert(lowercase)



       def  A_   (     self     ,lowercase):

             """simple docstring"""





             UpperCAmelCase_  :	Any				      =		self
             for char in word:
                   if char not in curr.nodes:
                         UpperCAmelCase_  :	str				      =		TrieNode()
                   UpperCAmelCase_  :	Tuple				      =		curr.nodes[char]
             UpperCAmelCase_  :	Union[str, Any]				      =		True



       def  A_   (     self     ,lowercase):

             """simple docstring"""





             UpperCAmelCase_  :	Union[str, Any]				      =		self
             for char in word:
                   if char not in curr.nodes:
                         return False
                   UpperCAmelCase_  :	List[Any]				      =		curr.nodes[char]
             return curr.is_leaf



       def  A_   (     self     ,lowercase):

             """simple docstring"""





             def _delete(lowercase     ,lowercase     ,lowercase) -> bool:
                   if index == len(lowercase):
                         # If word does not exist
                         if not curr.is_leaf:
                               return False
                         UpperCAmelCase_  :	List[str]				      =		False
                         return len(curr.nodes) == 0
                   UpperCAmelCase_  :	List[str]				      =		word[index]
                   UpperCAmelCase_  :	Union[str, Any]				      =		curr.nodes.get(lowercase)
                   # If char not in current trie node
                   if not char_node:
                         return False
                   # Flag to check if node can be deleted
                   UpperCAmelCase_  :	Tuple				      =		_delete(lowercase     ,lowercase     ,index + 1)
                   if delete_curr:
                         del curr.nodes[char]
                         return len(curr.nodes) == 0
                   return delete_curr

             _delete(self     ,lowercase     ,0)







def    _snake_case (       __snake_case					,  __snake_case    )     ->     None:






      '''simple docstring'''







      if node.is_leaf:
            print(__snake_case					,  end=" "    )

      for key, value in node.nodes.items():
            print_words(__snake_case					,  word + key    )







def    _snake_case (       )     ->     bool:






      '''simple docstring'''







      UpperCAmelCase_  :	Tuple				      =		"banana bananas bandana band apple all beast".split()
      UpperCAmelCase_  :	Any				      =		TrieNode()
      root.insert_many(__snake_case    )
      # print_words(root, "")
      assert all(root.find(__snake_case    ) for word in words    )
      assert root.find("banana"    )
      assert not root.find("bandanas"    )
      assert not root.find("apps"    )
      assert root.find("apple"    )
      assert root.find("all"    )
      root.delete("all"    )
      assert not root.find("all"    )
      root.delete("banana"    )
      assert not root.find("banana"    )
      assert root.find("bananas"    )
      return True







def    _snake_case (       __snake_case					,  __snake_case    )     ->     None:






      '''simple docstring'''







      print(str(__snake_case    )					,  "works!" if passes else "doesn't work :("    )







def    _snake_case (       )     ->     None:






      '''simple docstring'''







      assert test_trie()







def    _snake_case (       )     ->     None:






      '''simple docstring'''







      print_results("Testing trie functionality"					,  test_trie()    )


if __name__ == "__main__":
   main()





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


__lowerCamelCase         =			logging.get_logger(__name__)

__lowerCamelCase         =			{
    '''microsoft/trocr-base-handwritten''': (
        '''https://huggingface.co/microsoft/trocr-base-handwritten/resolve/main/config.json'''
    ),
    # See all TrOCR models at https://huggingface.co/models?filter=trocr
}


class   snake_case_ (lowercase__  ):




       """simple docstring"""






       _lowerCamelCase			    =				"""trocr"""
       _lowerCamelCase			    =				["""past_key_values"""]
       _lowerCamelCase			    =				{
           """num_attention_heads""": """decoder_attention_heads""",
           """hidden_size""": """d_model""",
           """num_hidden_layers""": """decoder_layers""",
       }



       def __init__(     self     ,lowercase=50265     ,lowercase=1024     ,lowercase=12     ,lowercase=16     ,lowercase=4096     ,lowercase="gelu"     ,lowercase=512     ,lowercase=0.1     ,lowercase=0.0     ,lowercase=0.0     ,lowercase=2     ,lowercase=0.02     ,lowercase=0.0     ,lowercase=True     ,lowercase=False     ,lowercase=True     ,lowercase=True     ,lowercase=1     ,lowercase=0     ,lowercase=2     ,**lowercase     ,):

             """simple docstring"""





             UpperCAmelCase_  :	int				      =		vocab_size
             UpperCAmelCase_  :	Tuple				      =		d_model
             UpperCAmelCase_  :	List[str]				      =		decoder_layers
             UpperCAmelCase_  :	Union[str, Any]				      =		decoder_attention_heads
             UpperCAmelCase_  :	Optional[Any]				      =		decoder_ffn_dim
             UpperCAmelCase_  :	Tuple				      =		activation_function
             UpperCAmelCase_  :	List[Any]				      =		max_position_embeddings
             UpperCAmelCase_  :	List[Any]				      =		dropout
             UpperCAmelCase_  :	List[str]				      =		attention_dropout
             UpperCAmelCase_  :	Union[str, Any]				      =		activation_dropout
             UpperCAmelCase_  :	Optional[int]				      =		init_std
             UpperCAmelCase_  :	Dict				      =		decoder_layerdrop
             UpperCAmelCase_  :	List[str]				      =		use_cache
             UpperCAmelCase_  :	Dict				      =		scale_embedding
             UpperCAmelCase_  :	Dict				      =		use_learned_position_embeddings
             UpperCAmelCase_  :	Optional[Any]				      =		layernorm_embedding

             super().__init__(
                 pad_token_id=lowercase     ,bos_token_id=lowercase     ,eos_token_id=lowercase     ,decoder_start_token_id=lowercase     ,**lowercase     ,)
