class 					_lowercase    :






    '''simple docstring'''




    def __init__(    self       ,						lowerCamelCase__ = ""       ,						lowerCamelCase__ = False ):
       lowerCAmelCase_:							dict[str, RadixNode]       =	{}

       # A node will be a leaf if the tree contains its word
       lowerCAmelCase_:							List[Any]       =	is_leaf

       lowerCAmelCase_:							List[str]       =	prefix




    def      _a    (    self       ,						lowerCamelCase__ ):
       lowerCAmelCase_:							Optional[int]       =	0
       for q, w in zip(self.prefix       ,						UpperCamelCase_ ):
          if q != w:
             break

          x += 1

       return self.prefix[:x], self.prefix[x:], word[x:]




    def      _a    (    self       ,						lowerCamelCase__ ):


       for word in words:
          self.insert(UpperCamelCase_ )




    def      _a    (    self       ,						lowerCamelCase__ ):


       if self.prefix == word:
          lowerCAmelCase_:							Optional[Any]       =	True

       # Case 2: The node has no edges that have a prefix to the word
       # Solution: We create an edge from the current node to a new one
       # containing the word
       elif word[0] not in self.nodes:
          lowerCAmelCase_:							Optional[int]       =	RadixNode(prefix=UpperCamelCase_       ,						is_leaf=UpperCamelCase_ )

       else:
          lowerCAmelCase_:							Optional[int]       =	self.nodes[word[0]]
          lowerCAmelCase_:							Any       =	incoming_node.match(
              UpperCamelCase_ )

          # Case 3: The node prefix is equal to the matching
          # Solution: We insert remaining word on the next node
          if remaining_prefix == "":
             self.nodes[matching_string[0]].insert(UpperCamelCase_ )

          # Case 4: The word is greater equal to the matching
          # Solution: Create a node in between both nodes, change
          # prefixes and add the new node for the remaining word
          else:
             lowerCAmelCase_:							List[Any]       =	remaining_prefix

             lowerCAmelCase_:							Any       =	self.nodes[matching_string[0]]
             lowerCAmelCase_:							Dict       =	RadixNode(UpperCamelCase_       ,						UpperCamelCase_ )
             lowerCAmelCase_:							Any       =	aux_node

             if remaining_word == "":
                lowerCAmelCase_:							Optional[Any]       =	True
             else:
                self.nodes[matching_string[0]].insert(UpperCamelCase_ )




    def      _a    (    self       ,						lowerCamelCase__ ):
       lowerCAmelCase_:							Any       =	self.nodes.get(word[0]       ,						UpperCamelCase_ )
       if not incoming_node:
          return False
       else:
          lowerCAmelCase_:							Optional[int]       =	incoming_node.match(
              UpperCamelCase_ )
          # If there is remaining prefix, the word can't be on the tree
          if remaining_prefix != "":
             return False
          # This applies when the word and the prefix are equal
          elif remaining_word == "":
             return incoming_node.is_leaf
          # We have word remaining so we check the next node
          else:
             return incoming_node.find(UpperCamelCase_ )




    def      _a    (    self       ,						lowerCamelCase__ ):
       lowerCAmelCase_:							Any       =	self.nodes.get(word[0]       ,						UpperCamelCase_ )
       if not incoming_node:
          return False
       else:
          lowerCAmelCase_:							Dict       =	incoming_node.match(
              UpperCamelCase_ )
          # If there is remaining prefix, the word can't be on the tree
          if remaining_prefix != "":
             return False
          # We have word remaining so we check the next node
          elif remaining_word != "":
             return incoming_node.delete(UpperCamelCase_ )
          else:
             # If it is not a leaf, we don't have to delete
             if not incoming_node.is_leaf:
                return False
             else:
                # We delete the nodes if no edges go from it
                if len(incoming_node.nodes ) == 0:
                   del self.nodes[word[0]]
                   # We merge the current node with its only child
                   if len(self.nodes ) == 1 and not self.is_leaf:
                      lowerCAmelCase_:							str       =	list(self.nodes.values() )[0]
                      lowerCAmelCase_:							Tuple       =	merging_node.is_leaf
                      self.prefix += merging_node.prefix
                      lowerCAmelCase_:							Dict       =	merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
                elif len(incoming_node.nodes ) > 1:
                   lowerCAmelCase_:							Optional[Any]       =	False
                # If there is 1 edge, we merge it with its child
                else:
                   lowerCAmelCase_:							List[Any]       =	list(incoming_node.nodes.values() )[0]
                   lowerCAmelCase_:							Any       =	merging_node.is_leaf
                   incoming_node.prefix += merging_node.prefix
                   lowerCAmelCase_:							Any       =	merging_node.nodes

                return True




    def      _a    (    self       ,						lowerCamelCase__ = 0 ):


       if self.prefix != "":
          print("-" * height       ,						self.prefix       ,						"  (leaf)" if self.is_leaf else "" )

       for value in self.nodes.values():
          value.print_tree(height + 1 )





def 		snake_case__	(		):
   lowerCAmelCase_:							Tuple       =	'''banana bananas bandana band apple all beast'''.split()
   lowerCAmelCase_:							List[str]       =	RadixNode()
   root.insert_many(__a					)

   assert all(root.find(__a					) for word in words					)
   assert not root.find("bandanas"					)
   assert not root.find("apps"					)
   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__	(		):
   assert test_trie()
def 		snake_case__	(		):
   lowerCAmelCase_:							List[str]       =	RadixNode()
   lowerCAmelCase_:							Union[str, Any]       =	'''banana bananas bandanas bandana band apple all beast'''.split()
   root.insert_many(__a					)

   print("Words:"							,				__a					)
   print("Tree:"					)
   root.print_tree()


if __name__ == "__main__":
 main()



'''simple docstring'''
import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding
class   lowercase      (				A__   ):

		"""simple docstring"""

		_a       					=							['image_processor', 'tokenizer']
		_a       					=							'ChineseCLIPImageProcessor'
		_a       					=							('BertTokenizer', 'BertTokenizerFast')




		def __init__(						self       ,  UpperCamelCase_=None       ,  UpperCamelCase_=None       ,  **UpperCamelCase_				):

							'''simple docstring'''


							UpperCamelCase__  :List[Any]				   =					None
							if "feature_extractor" in kwargs:
												warnings.warn(
												    '''The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'''
												    ''' instead.'''       ,  UpperCamelCase_       ,  )
												UpperCamelCase__  :List[Any]				   =					kwargs.pop('''feature_extractor'''				)

							UpperCamelCase__  :List[str]				   =					image_processor if image_processor is not None else feature_extractor
							if image_processor is None:
												raise ValueError('''You need to specify an `image_processor`.'''				)
							if tokenizer is None:
												raise ValueError('''You need to specify a `tokenizer`.'''				)

							super().__init__(UpperCamelCase_       ,  UpperCamelCase_				)
							UpperCamelCase__  :Any				   =					self.image_processor




		def __call__(						self       ,  UpperCamelCase_=None       ,  UpperCamelCase_=None       ,  UpperCamelCase_=None       ,  **UpperCamelCase_				):

							'''simple docstring'''


							if text is None and images is None:
												raise ValueError('''You have to specify either text or images. Both cannot be none.'''				)

							if text is not None:
												UpperCamelCase__  :Tuple				   =					self.tokenizer(UpperCamelCase_       ,  return_tensors=UpperCamelCase_       ,  **UpperCamelCase_				)

							if images is not None:
												UpperCamelCase__  :Any				   =					self.image_processor(UpperCamelCase_       ,  return_tensors=UpperCamelCase_       ,  **UpperCamelCase_				)

							if text is not None and images is not None:
												UpperCamelCase__  :Optional[int]				   =					image_features.pixel_values
												return encoding
							elif text is not None:
												return encoding
							else:
												return BatchEncoding(data=dict(**UpperCamelCase_				)       ,  tensor_type=UpperCamelCase_				)




		def        lowerCAmelCase__							(						self       ,  *UpperCamelCase_       ,  **UpperCamelCase_				):

							'''simple docstring'''


							return self.tokenizer.batch_decode(*UpperCamelCase_       ,  **UpperCamelCase_				)




		def        lowerCAmelCase__							(						self       ,  *UpperCamelCase_       ,  **UpperCamelCase_				):

							'''simple docstring'''


							return self.tokenizer.decode(*UpperCamelCase_       ,  **UpperCamelCase_				)




		@property
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							UpperCamelCase__  :int				   =					self.tokenizer.model_input_names
							UpperCamelCase__  :Any				   =					self.image_processor.model_input_names
							return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names				)				)




		@property
		def        lowerCAmelCase__							(						self				):

							'''simple docstring'''


							warnings.warn(
							    '''`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'''       ,  UpperCamelCase_       ,  )
							return self.image_processor_class