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
  
  
  SCREAMING_SNAKE_CASE_     				=   logging.get_logger(__name__)
  
  SCREAMING_SNAKE_CASE_     				=   {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}
  
  SCREAMING_SNAKE_CASE_     				=   {
      """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"""
          ),
      },
  }
  
  SCREAMING_SNAKE_CASE_     				=   {
      """openai/clip-vit-base-patch32""": 77,
  }
  
  
  
  class     __a			(					__lowerCamelCase			):
         _lowerCamelCase							:							List[Any]       =			VOCAB_FILES_NAMES
         _lowerCamelCase							:							Optional[int]       =			PRETRAINED_VOCAB_FILES_MAP
         _lowerCamelCase							:							Optional[int]       =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
         _lowerCamelCase							:							List[str]       =			['input_ids', 'attention_mask']
         _lowerCamelCase							:							Tuple       =			CLIPTokenizer
  
  
  
  
  
  
  
         def __init__(					self							,lowerCamelCase_=None							,lowerCamelCase_=None							,lowerCamelCase_=None							,lowerCamelCase_="<|endoftext|>"							,lowerCamelCase_="<|startoftext|>"							,lowerCamelCase_="<|endoftext|>"							,lowerCamelCase_="<|endoftext|>"							,**lowerCamelCase_							,):
  
  
  
            '''simple docstring'''
  
            super().__init__(
                _lowerCAmelCase							,_lowerCAmelCase							,tokenizer_file=_lowerCAmelCase							,unk_token=_lowerCAmelCase							,bos_token=_lowerCAmelCase							,eos_token=_lowerCAmelCase							,pad_token=_lowerCAmelCase							,**_lowerCAmelCase							,)
  
            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    _snake_case			(					self		):
  
  
  
            '''simple docstring'''
  
            _UpperCAmelCase   	=					self.backend_tokenizer.decode
  
            def new_decode_method(*lowerCamelCase_							,**lowerCamelCase_		):
               _UpperCAmelCase   	=					orig_decode_method(*_lowerCAmelCase							,**_lowerCAmelCase		)
               _UpperCAmelCase   	=					text.replace(self.backend_tokenizer.model.end_of_word_suffix							," "		).strip()
               return text
  
            _UpperCAmelCase   	=					new_decode_method
  
  
  
  
  
  
  
         def    _snake_case			(					self							,lowerCamelCase_							,lowerCamelCase_ = None		):
  
  
  
            '''simple docstring'''
  
            _UpperCAmelCase   	=					[self.bos_token_id]
            _UpperCAmelCase   	=					[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    _snake_case			(					self							,lowerCamelCase_							,lowerCamelCase_ = None		):
  
  
  
            '''simple docstring'''
  
            _UpperCAmelCase   	=					[self.bos_token_id]
            _UpperCAmelCase   	=					[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    _snake_case			(					self							,lowerCamelCase_							,lowerCamelCase_ = None		):
  
  
  
            '''simple docstring'''
  
            _UpperCAmelCase   	=					self._tokenizer.model.save(_lowerCAmelCase							,name=_lowerCAmelCase		)
            return tuple(_lowerCAmelCase		)
  
  
style_context: 
  """simple docstring"""
  
  
  
  
  
  
  
  import warnings
  
  from .generation import FlaxGenerationMixin
  
  
  
  
  
  
  class     __a			(					lowerCAmelCase_			):
         # warning at import time
         warnings.warn(
             'Importing `FlaxGenerationMixin` from `src/transformers/generation_flax_utils.py` is deprecated and will '
             'be removed in Transformers v5. Import as `from transformers import FlaxGenerationMixin` instead.'				,	lowerCAmelCase_				,	)
  
  