"""simple docstring"""





import warnings

from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding


class      UpperCAmelCase_	(    _a):
      lowerCamelCase__		:    List[str]   =  ["image_processor", "tokenizer"]
      lowerCamelCase__		:    List[str]   =  "CLIPImageProcessor"
      lowerCamelCase__		:    Optional[int]   =  ("CLIPTokenizer", "CLIPTokenizerFast")


      def __init__(   self		,			a=None		,			a=None		,			**a							)       ->					Union[str, Any]:
             lowercase__			:		int       =	None
             if "feature_extractor" in kwargs:
                    warnings.warn(
                        'The `feature_extractor` argument is deprecated and will be removed in v5, use `image_processor`'
                        ' instead.'		,			a		,			)
                    lowercase__			:		List[Any]       =	kwargs.pop('feature_extractor'							)

             lowercase__			:		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__(a		,			a							)


      def __call__(   self		,			a=None		,			a=None		,			a=None		,			**a							)       ->					int:

             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:
                    lowercase__			:		Tuple       =	self.tokenizer(a		,			return_tensors=a		,			**a							)

             if images is not None:
                    lowercase__			:		str       =	self.image_processor(a		,			return_tensors=a		,			**a							)

             if text is not None and images is not None:
                    lowercase__			:		List[str]       =	image_features.pixel_values
                    return encoding
             elif text is not None:
                    return encoding
             else:
                    return BatchEncoding(data=dict(**a							)		,			tensor_type=a							)


      def 		_UpperCAmelCase       (   self		,			*a		,			**a							)       ->					List[str]:
             return self.tokenizer.batch_decode(*a		,			**a							)


      def 		_UpperCAmelCase       (   self		,			*a		,			**a							)       ->					Union[str, Any]:
             return self.tokenizer.decode(*a		,			**a							)


      @property
      def 		_UpperCAmelCase       (   self							)       ->					Tuple:
             lowercase__			:		List[str]       =	self.tokenizer.model_input_names
             lowercase__			:		Any       =	self.image_processor.model_input_names
             return list(dict.fromkeys(tokenizer_input_names + image_processor_input_names							)							)


      @property
      def 		_UpperCAmelCase       (   self							)       ->					List[Any]:
             warnings.warn(
                 '`feature_extractor_class` is deprecated and will be removed in v5. Use `image_processor_class` instead.'		,			a		,			)
             return self.image_processor_class


      @property
      def 		_UpperCAmelCase       (   self							)       ->					Any:
             warnings.warn(
                 '`feature_extractor` is deprecated and will be removed in v5. Use `image_processor` instead.'		,			a		,			)
             return self.image_processor





'''simple docstring'''







class A__       :






      def __init__( self			:List[Any]	)       ->					None:




             '''simple docstring'''
             _a    : dict[str, TrieNode]     					={}  # Mapping from char to TrieNode
             _a    : List[str]     					=False






      def __UpperCAmelCase       ( self			:Tuple     ,						SCREAMING_SNAKE_CASE			:list[str]	)       ->					None:




             '''simple docstring'''
             for word in words:
                    self.insert(SCREAMING_SNAKE_CASE	)






      def __UpperCAmelCase       ( self			:Union[str, Any]     ,						SCREAMING_SNAKE_CASE			:str	)       ->					None:




             '''simple docstring'''
             _a    : str     					=self
             for char in word:
                    if char not in curr.nodes:
                           _a    : Dict     					=TrieNode()
                    _a    : List[Any]     					=curr.nodes[char]
             _a    : int     					=True






      def __UpperCAmelCase       ( self			:Union[str, Any]     ,						SCREAMING_SNAKE_CASE			:str	)       ->					bool:




             '''simple docstring'''
             _a    : int     					=self
             for char in word:
                    if char not in curr.nodes:
                           return False
                    _a    : List[Any]     					=curr.nodes[char]
             return curr.is_leaf






      def __UpperCAmelCase       ( self			:Dict     ,						SCREAMING_SNAKE_CASE			:str	)       ->					None:




             '''simple docstring'''

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

             _delete(self     ,						SCREAMING_SNAKE_CASE     ,						0	)


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	TrieNode    ,_UpperCAmelCase	:	str  )  ->			None:
       if node.is_leaf:
              print(_UpperCAmelCase    ,end=""" """  )

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


def 	SCREAMING_SNAKE_CASE_					(  )  ->			bool:
       _a    : List[str]     					="""banana bananas bandana band apple all beast""".split()
       _a    : List[Any]     					=TrieNode()
       root.insert_many(_UpperCAmelCase  )
       # print_words(root, "")
       assert all(root.find(_UpperCAmelCase  ) 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 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	str    ,_UpperCAmelCase	:	bool  )  ->			None:
       print(str(_UpperCAmelCase  )    ,"""works!""" if passes else """doesn't work :("""  )


def 	SCREAMING_SNAKE_CASE_					(  )  ->			None:
       assert test_trie()


def 	SCREAMING_SNAKE_CASE_					(  )  ->			None:
       print_results("""Testing trie functionality"""    ,test_trie()  )


if __name__ == "__main__":
   main()


