code: 
  
  
  
  
  
  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
  
  
  UpperCAmelCase			:			Union[str, Any]	  = logging.get_logger(__name__)
  
  UpperCAmelCase			:			List[str]	  = {'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}
  
  UpperCAmelCase			:			Optional[int]	  = {
      '''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'''
          ),
      },
  }
  
  UpperCAmelCase			:			Union[str, Any]	  = {
      '''openai/clip-vit-base-patch32''': 77,
  }
  
  
  
  
  
  
  
  class        __lowerCAmelCase (					lowercase__):
        _lowercase       :      List[Any]        =    VOCAB_FILES_NAMES
        _lowercase       :      Union[str, Any]        =    PRETRAINED_VOCAB_FILES_MAP
        _lowercase       :      Optional[Any]        =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
        _lowercase       :      Tuple        =    ["""input_ids""", """attention_mask"""]
        _lowercase       :      Dict        =    CLIPTokenizer
  
  
  
  
  
  
  
        def __init__(					self	,   lowerCAmelCase__=None	,   lowerCAmelCase__=None	,   lowerCAmelCase__=None	,   lowerCAmelCase__="<|endoftext|>"	,   lowerCAmelCase__="<|startoftext|>"	,   lowerCAmelCase__="<|endoftext|>"	,   lowerCAmelCase__="<|endoftext|>"	,   **lowerCAmelCase__	,   )     ->		str:
  
  
  
          '''simple docstring'''
  
  
  
  
          super().__init__(
              _A	,   _A	,   tokenizer_file=_A	,   unk_token=_A	,   bos_token=_A	,   eos_token=_A	,   pad_token=_A	,   **_A	,   )
  
          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      _lowercase						(					self							)     ->		Union[str, Any]:
  
  
  
          '''simple docstring'''
  
  
  
  
          a__			:      Dict            =self.backend_tokenizer.decode
  
          def new_decode_method(*lowerCAmelCase__	,   **lowerCAmelCase__							):
            a__			:      Tuple            =orig_decode_method(*_A	,   **_A							)
            a__			:      Any            =text.replace(self.backend_tokenizer.model.end_of_word_suffix	,   " "							).strip()
            return text
  
          a__			:      Union[str, Any]            =new_decode_method
  
  
  
  
  
  
  
        def      _lowercase						(					self	,   lowerCAmelCase__	,   lowerCAmelCase__ = None							)     ->		List[int]:
  
  
  
          '''simple docstring'''
  
  
  
  
          a__			:      List[str]            =[self.bos_token_id]
          a__			:      int            =[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      _lowercase						(					self	,   lowerCAmelCase__	,   lowerCAmelCase__ = None							)     ->		List[int]:
  
  
  
          '''simple docstring'''
  
  
  
  
          a__			:      Tuple            =[self.bos_token_id]
          a__			:      Union[str, Any]            =[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      _lowercase						(					self	,   lowerCAmelCase__	,   lowerCAmelCase__ = None							)     ->		Tuple[str]:
  
  
  
          '''simple docstring'''
  
  
  
  
          a__			:      str            =self._tokenizer.model.save(_A	,   name=_A							)
          return tuple(_A							)
  
  
  
  
  
  
style_context: 
  
  
  
  
  
  def   _A (	SCREAMING_SNAKE_CASE  :     int		):
  
  
  
  
  
    """simple docstring"""
  
  
  
    barcode //= 10  # exclude the last digit
    a__			:      int            =False
    a__			:      List[str]            =0
  
    # extract and check each digit
    while barcode != 0:
      a__			:      Optional[Any]            =1 if checker else 3
      s += mult * (barcode % 10)
      barcode //= 10
      a__			:      Union[str, Any]            =not checker
  
    return (10 - (s % 10)) % 10
  def   _A (	SCREAMING_SNAKE_CASE  :     int		):
  
  
  
  
  
    """simple docstring"""
  
  
  
    return len(str(SCREAMING_SNAKE_CASE		)		) == 13 and get_check_digit(SCREAMING_SNAKE_CASE		) == barcode % 10
  def   _A (	SCREAMING_SNAKE_CASE  :     str		):
  
  
  
  
  
    """simple docstring"""
  
  
  
    if str(SCREAMING_SNAKE_CASE		).isalpha():
      a__			:      Tuple            =f'''Barcode \'{barcode}\' has alphabetic characters.'''
      raise ValueError(SCREAMING_SNAKE_CASE		)
    elif int(SCREAMING_SNAKE_CASE		) < 0:
      raise ValueError("The entered barcode has a negative value. Try again."		)
    else:
      return int(SCREAMING_SNAKE_CASE		)
  
  
  if __name__ == "__main__":
       import doctest
  
       doctest.testmod()
       UpperCAmelCase			:			List[str]	  = get_barcode(input("""Barcode: """).strip())
  
       if is_valid(barcode):
            print(F"""'{barcode}' is a valid barcode.""")
       else:
            print(F"""'{barcode}' is NOT a valid barcode.""")
  
  
  
  
  
  
  