code: 
  '''simple docstring'''
  from typing import List, Optional, Tuple
  
  from tokenizers import pre_tokenizers
  
  from ...tokenization_utils_fast import PreTrainedTokenizerFast
  from ...utils import logging
  from .tokenization_clip import CLIPTokenizer
  
  
  lowercase__						=			logging.get_logger(__name__)
  
  lowercase__						=			{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}
  
  lowercase__						=			{
      "vocab_file": {
          "openai/clip-vit-base-patch32": "https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/vocab.json",
      },
      "merges_file": {
          "openai/clip-vit-base-patch32": "https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/merges.txt",
      },
      "tokenizer_file": {
          "openai/clip-vit-base-patch32": (
              "https://huggingface.co/openai/clip-vit-base-patch32/resolve/main/tokenizer.json"
          ),
      },
  }
  
  lowercase__						=			{
      "openai/clip-vit-base-patch32": 7_7,
  }
  
  
  
  
  
  
  class   snake_case__					(			__SCREAMING_SNAKE_CASE				):
  
  
  
  
  
  
  
  		"""simple docstring"""
  
  		lowerCamelCase           =	VOCAB_FILES_NAMES
  		lowerCamelCase           =	PRETRAINED_VOCAB_FILES_MAP
  		lowerCamelCase           =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  		lowerCamelCase           =	["""input_ids""", """attention_mask"""]
  		lowerCamelCase           =	CLIPTokenizer
  
  
  
  		def __init__(			self							: List[Any]     ,  UpperCamelCase__							: Dict=None     ,  UpperCamelCase__							: int=None     ,  UpperCamelCase__							: Optional[Any]=None     ,  UpperCamelCase__							: str="<|endoftext|>"     ,  UpperCamelCase__							: List[str]="<|startoftext|>"     ,  UpperCamelCase__							: List[Any]="<|endoftext|>"     ,  UpperCamelCase__							: List[str]="<|endoftext|>"     ,  **UpperCamelCase__							: Union[str, Any]     ,  )	-> Optional[Any]:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				super().__init__(
  				    UpperCamelCase__     ,  UpperCamelCase__     ,  tokenizer_file=UpperCamelCase__     ,  unk_token=UpperCamelCase__     ,  bos_token=UpperCamelCase__     ,  eos_token=UpperCamelCase__     ,  pad_token=UpperCamelCase__     ,  **UpperCamelCase__     ,  )
  
  				if not isinstance(self.backend_tokenizer.pre_tokenizer     ,  pre_tokenizers.Sequence			):
  						raise ValueError(
  						    '''The `backend_tokenizer` provided does not match the expected format. The CLIP tokenizer has been'''
  						    ''' heavily modified from transformers version 4.17.0. You need to convert the tokenizer you are using'''
  						    ''' to be compatible with this version.The easiest way to do so is'''
  						    ''' `CLIPTokenizerFast.from_pretrained("path_to_local_folder_or_hub_repo, from_slow=True)`. If you want'''
  						    ''' to use your existing tokenizer, you will have to revert to a version prior to 4.17.0 of'''
  						    ''' transformers.'''			)
  
  				self._wrap_decode_method_backend_tokenizer()
  
  
  
  		def 			lowerCAmelCase							(			self							: Dict			)	-> str:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					Tuple     =	self.backend_tokenizer.decode
  
  				def new_decode_method(*UpperCamelCase__							: Any     ,  **UpperCamelCase__							: Any			):
  						snake_case     :					List[str]     =	orig_decode_method(*UpperCamelCase__     ,  **UpperCamelCase__			)
  						snake_case     :					List[Any]     =	text.replace(self.backend_tokenizer.model.end_of_word_suffix     ,  ''' '''			).strip()
  						return text
  
  				snake_case     :					Optional[Any]     =	new_decode_method
  
  
  
  		def 			lowerCAmelCase							(			self							: str     ,  UpperCamelCase__							: List[int]     ,  UpperCamelCase__							: Optional[List[int]] = None			)	-> List[int]:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					Tuple     =	[self.bos_token_id]
  				snake_case     :					Any     =	[self.eos_token_id]
  
  				if token_ids_a is None:
  						return bos_token + token_ids_a + eos_token
  				return bos_token + token_ids_a + eos_token + eos_token + token_ids_a + eos_token
  
  
  
  		def 			lowerCAmelCase							(			self							: Any     ,  UpperCamelCase__							: List[int]     ,  UpperCamelCase__							: Optional[List[int]] = None			)	-> List[int]:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					Optional[int]     =	[self.bos_token_id]
  				snake_case     :					Optional[int]     =	[self.eos_token_id]
  
  				if token_ids_a is None:
  						return len(bos_token + token_ids_a + eos_token			) * [0]
  				return len(bos_token + token_ids_a + eos_token + eos_token + token_ids_a + eos_token			) * [0]
  
  
  
  		def 			lowerCAmelCase							(			self							: str     ,  UpperCamelCase__							: str     ,  UpperCamelCase__							: Optional[str] = None			)	-> Tuple[str]:
  
  
  
  
  
  
  				"""simple docstring"""
  
  
  
  
  
  
  
  				snake_case     :					int     =	self._tokenizer.model.save(UpperCamelCase__     ,  name=UpperCamelCase__			)
  				return tuple(UpperCamelCase__			)
  
  
  
style_context: 
  '''simple docstring'''
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ )     ->       int:
  
  
  		'''simple docstring'''
  
  
  		snake_case     :					Optional[Any]     =	0
  		for ele in arr:
  				total_sum += product_sum(SCREAMING_SNAKE_CASE__   ,					depth + 1 ) if isinstance(SCREAMING_SNAKE_CASE__   ,					SCREAMING_SNAKE_CASE__ ) else ele
  		return total_sum * depth
  
  
  
  
  def       _UpperCamelCase	(					SCREAMING_SNAKE_CASE__ )     ->       int:
  
  
  		'''simple docstring'''
  
  
  		return product_sum(SCREAMING_SNAKE_CASE__   ,					1 )
  
  
  if __name__ == "__main__":
  						import doctest
  
  						doctest.testmod()
  
  
  