code: 
  
  
  
  
  import json
  import os
  from functools import lru_cache
  from typing import List, Optional, Tuple
  
  import regex as re
  
  from ...tokenization_utils import AddedToken, PreTrainedTokenizer
  from ...utils import logging
  
  
  SCREAMING_SNAKE_CASE__    :    List[str]								=					logging.get_logger(__name__)
  
  
  SCREAMING_SNAKE_CASE__    :    str								=					{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}
  
  # See all MVP models at https://huggingface.co/models?filter=mvp
  SCREAMING_SNAKE_CASE__    :    str								=					{
      'vocab_file': {
          'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/vocab.json',
      },
      'added_tokens.json': {
          'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/added_tokens.json',
      },
      'merges_file': {
          'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/merges.txt',
      },
  }
  
  SCREAMING_SNAKE_CASE__    :    List[Any]								=					{
      'RUCAIBox/mvp': 10_24,
  }
  
  @lru_cache()
  def lowercase						(   ) ->       List[str]:
  
  
  			'''simple docstring'''
  
  
  
  
  
  
  
  			SCREAMING_SNAKE_CASE_			=	(
  			    list(range(ord('!'   )					,						ord('~'   ) + 1   )   ) + list(range(ord('¡'   )					,						ord('¬'   ) + 1   )   ) + list(range(ord('®'   )					,						ord('ÿ'   ) + 1   )   )
  			)
  			SCREAMING_SNAKE_CASE_			=	bs[:]
  			SCREAMING_SNAKE_CASE_			=	0
  			for b in range(2**8   ):
  						if b not in bs:
  									bs.append(UpperCamelCase__   )
  									cs.append(2**8 + n   )
  									n += 1
  			SCREAMING_SNAKE_CASE_			=	[chr(UpperCamelCase__   ) for n in cs]
  			return dict(zip(UpperCamelCase__					,						UpperCamelCase__   )   )
  
  def lowercase						(   SCREAMING_SNAKE_CASE   ) ->       Any:
  
  
  			'''simple docstring'''
  
  
  
  
  
  
  
  			SCREAMING_SNAKE_CASE_			=	set()
  			SCREAMING_SNAKE_CASE_			=	word[0]
  			for char in word[1:]:
  						pairs.add((prev_char, char)   )
  						SCREAMING_SNAKE_CASE_			=	char
  			return pairs
  
  
  
  class 			a_					(    SCREAMING_SNAKE_CASE__    ):
  	A						       =   VOCAB_FILES_NAMES
  	A						       =   PRETRAINED_VOCAB_FILES_MAP
  	A						       =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  	A						       =   ['''input_ids''', '''attention_mask''']
  
  
  
  
  
  	def __init__(       self			,    SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE="replace"			,    SCREAMING_SNAKE_CASE="<s>"			,    SCREAMING_SNAKE_CASE="</s>"			,    SCREAMING_SNAKE_CASE="</s>"			,    SCREAMING_SNAKE_CASE="<s>"			,    SCREAMING_SNAKE_CASE="<unk>"			,    SCREAMING_SNAKE_CASE="<pad>"			,    SCREAMING_SNAKE_CASE="<mask>"			,    SCREAMING_SNAKE_CASE=False			,    **SCREAMING_SNAKE_CASE			,    )     ->				Dict:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				SCREAMING_SNAKE_CASE_			=	AddedToken(SCREAMING_SNAKE_CASE			,    lstrip=SCREAMING_SNAKE_CASE			,    rstrip=SCREAMING_SNAKE_CASE			) if isinstance(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			) else bos_token
  				SCREAMING_SNAKE_CASE_			=	AddedToken(SCREAMING_SNAKE_CASE			,    lstrip=SCREAMING_SNAKE_CASE			,    rstrip=SCREAMING_SNAKE_CASE			) if isinstance(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			) else eos_token
  				SCREAMING_SNAKE_CASE_			=	AddedToken(SCREAMING_SNAKE_CASE			,    lstrip=SCREAMING_SNAKE_CASE			,    rstrip=SCREAMING_SNAKE_CASE			) if isinstance(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			) else sep_token
  				SCREAMING_SNAKE_CASE_			=	AddedToken(SCREAMING_SNAKE_CASE			,    lstrip=SCREAMING_SNAKE_CASE			,    rstrip=SCREAMING_SNAKE_CASE			) if isinstance(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			) else cls_token
  				SCREAMING_SNAKE_CASE_			=	AddedToken(SCREAMING_SNAKE_CASE			,    lstrip=SCREAMING_SNAKE_CASE			,    rstrip=SCREAMING_SNAKE_CASE			) if isinstance(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			) else unk_token
  				SCREAMING_SNAKE_CASE_			=	AddedToken(SCREAMING_SNAKE_CASE			,    lstrip=SCREAMING_SNAKE_CASE			,    rstrip=SCREAMING_SNAKE_CASE			) if isinstance(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			) else pad_token
  
  				# Mask token behave like a normal word, i.e. include the space before it
  				SCREAMING_SNAKE_CASE_			=	AddedToken(SCREAMING_SNAKE_CASE			,    lstrip=SCREAMING_SNAKE_CASE			,    rstrip=SCREAMING_SNAKE_CASE			) if isinstance(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			) else mask_token
  
  				super().__init__(
  				    errors=SCREAMING_SNAKE_CASE			,    bos_token=SCREAMING_SNAKE_CASE			,    eos_token=SCREAMING_SNAKE_CASE			,    unk_token=SCREAMING_SNAKE_CASE			,    sep_token=SCREAMING_SNAKE_CASE			,    cls_token=SCREAMING_SNAKE_CASE			,    pad_token=SCREAMING_SNAKE_CASE			,    mask_token=SCREAMING_SNAKE_CASE			,    add_prefix_space=SCREAMING_SNAKE_CASE			,    **SCREAMING_SNAKE_CASE			,    )
  				with open(SCREAMING_SNAKE_CASE			,    encoding='utf-8'			) as vocab_handle:
  							SCREAMING_SNAKE_CASE_			=	json.load(SCREAMING_SNAKE_CASE			)
  				SCREAMING_SNAKE_CASE_			=	{v: k for k, v in self.encoder.items()}
  				SCREAMING_SNAKE_CASE_			=	errors  # how to handle errors in decoding
  				SCREAMING_SNAKE_CASE_			=	bytes_to_unicode()
  				SCREAMING_SNAKE_CASE_			=	{v: k for k, v in self.byte_encoder.items()}
  				with open(SCREAMING_SNAKE_CASE			,    encoding='utf-8'			) as merges_handle:
  							SCREAMING_SNAKE_CASE_			=	merges_handle.read().split('\n'			)[1:-1]
  				SCREAMING_SNAKE_CASE_			=	[tuple(merge.split()			) for merge in bpe_merges]
  				SCREAMING_SNAKE_CASE_			=	dict(zip(SCREAMING_SNAKE_CASE			,    range(len(SCREAMING_SNAKE_CASE			)			)			)			)
  				SCREAMING_SNAKE_CASE_			=	{}
  				SCREAMING_SNAKE_CASE_			=	add_prefix_space
  
  				# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
  				SCREAMING_SNAKE_CASE_			=	re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'			)
  
  
  
  
  
  	@property
  	def 	A_(       self			)     ->				str:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				return len(self.encoder			)
  
  
  
  
  
  	def 	A_(       self			)     ->				int:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				return dict(self.encoder			,    **self.added_tokens_encoder			)
  
  
  
  
  
  	def 	A_(       self			,    SCREAMING_SNAKE_CASE			)     ->				List[str]:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				if token in self.cache:
  							return self.cache[token]
  				SCREAMING_SNAKE_CASE_			=	tuple(SCREAMING_SNAKE_CASE			)
  				SCREAMING_SNAKE_CASE_			=	get_pairs(SCREAMING_SNAKE_CASE			)
  
  				if not pairs:
  							return token
  
  				while True:
  							SCREAMING_SNAKE_CASE_			=	min(SCREAMING_SNAKE_CASE			,    key=lambda SCREAMING_SNAKE_CASE			: self.bpe_ranks.get(SCREAMING_SNAKE_CASE			,    float('inf'			)			)			)
  							if bigram not in self.bpe_ranks:
  										break
  							SCREAMING_SNAKE_CASE_			=	bigram
  							SCREAMING_SNAKE_CASE_			=	[]
  							SCREAMING_SNAKE_CASE_			=	0
  							while i < len(SCREAMING_SNAKE_CASE			):
  										try:
  													SCREAMING_SNAKE_CASE_			=	word.index(SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE			)
  										except ValueError:
  													new_word.extend(word[i:]			)
  													break
  										else:
  													new_word.extend(word[i:j]			)
  													SCREAMING_SNAKE_CASE_			=	j
  
  										if word[i] == first and i < len(SCREAMING_SNAKE_CASE			) - 1 and word[i + 1] == second:
  													new_word.append(first + second			)
  													i += 2
  										else:
  													new_word.append(word[i]			)
  													i += 1
  							SCREAMING_SNAKE_CASE_			=	tuple(SCREAMING_SNAKE_CASE			)
  							SCREAMING_SNAKE_CASE_			=	new_word
  							if len(SCREAMING_SNAKE_CASE			) == 1:
  										break
  							else:
  										SCREAMING_SNAKE_CASE_			=	get_pairs(SCREAMING_SNAKE_CASE			)
  				SCREAMING_SNAKE_CASE_			=	''' '''.join(SCREAMING_SNAKE_CASE			)
  				SCREAMING_SNAKE_CASE_			=	word
  				return word
  
  
  
  
  
  	def 	A_(       self			,    SCREAMING_SNAKE_CASE			)     ->				List[Any]:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				SCREAMING_SNAKE_CASE_			=	[]
  				for token in re.findall(self.pat			,    SCREAMING_SNAKE_CASE			):
  							SCREAMING_SNAKE_CASE_			=	''''''.join(
  							    self.byte_encoder[b] for b in token.encode('utf-8'			)			)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
  							bpe_tokens.extend(bpe_token for bpe_token in self.bpe(SCREAMING_SNAKE_CASE			).split(' '			)			)
  				return bpe_tokens
  
  
  
  
  
  	def 	A_(       self			,    SCREAMING_SNAKE_CASE			)     ->				Union[str, Any]:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				return self.encoder.get(SCREAMING_SNAKE_CASE			,    self.encoder.get(self.unk_token			)			)
  
  
  
  
  
  	def 	A_(       self			,    SCREAMING_SNAKE_CASE			)     ->				Tuple:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				return self.decoder.get(SCREAMING_SNAKE_CASE			)
  
  
  
  
  
  	def 	A_(       self			,    SCREAMING_SNAKE_CASE			)     ->				str:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				SCREAMING_SNAKE_CASE_			=	''''''.join(SCREAMING_SNAKE_CASE			)
  				SCREAMING_SNAKE_CASE_			=	bytearray([self.byte_decoder[c] for c in text]			).decode('utf-8'			,    errors=self.errors			)
  				return text
  
  
  
  
  
  	def 	A_(       self			,    SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE = None			)     ->				Tuple[str]:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				if not os.path.isdir(SCREAMING_SNAKE_CASE			):
  							logger.error(f'Vocabulary path ({save_directory}) should be a directory'			)
  							return
  				SCREAMING_SNAKE_CASE_			=	os.path.join(
  				    SCREAMING_SNAKE_CASE			,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)
  				SCREAMING_SNAKE_CASE_			=	os.path.join(
  				    SCREAMING_SNAKE_CASE			,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']			)
  
  				with open(SCREAMING_SNAKE_CASE			,    'w'			,    encoding='utf-8'			) as f:
  							f.write(json.dumps(self.encoder			,    indent=2			,    sort_keys=SCREAMING_SNAKE_CASE			,    ensure_ascii=SCREAMING_SNAKE_CASE			) + '\n'			)
  
  				SCREAMING_SNAKE_CASE_			=	0
  				with open(SCREAMING_SNAKE_CASE			,    'w'			,    encoding='utf-8'			) as writer:
  							writer.write('#version: 0.2\n'			)
  							for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,    key=lambda SCREAMING_SNAKE_CASE			: kv[1]			):
  										if index != token_index:
  													logger.warning(
  													    f'Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'
  													    ' Please check that the tokenizer is not corrupted!'			)
  													SCREAMING_SNAKE_CASE_			=	token_index
  										writer.write(' '.join(SCREAMING_SNAKE_CASE			) + '\n'			)
  										index += 1
  
  				return vocab_file, merge_file
  
  
  
  
  
  	def 	A_(       self			,    SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE = None			)     ->				List[int]:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				if token_ids_a is None:
  							return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
  				SCREAMING_SNAKE_CASE_			=	[self.cls_token_id]
  				SCREAMING_SNAKE_CASE_			=	[self.sep_token_id]
  				return cls + token_ids_a + sep + sep + token_ids_a + sep
  
  
  
  
  
  	def 	A_(       self			,    SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE = None			,    SCREAMING_SNAKE_CASE = False			)     ->				List[int]:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				if already_has_special_tokens:
  							return super().get_special_tokens_mask(
  							    token_ids_a=SCREAMING_SNAKE_CASE			,    token_ids_a=SCREAMING_SNAKE_CASE			,    already_has_special_tokens=SCREAMING_SNAKE_CASE			)
  
  				if token_ids_a is None:
  							return [1] + ([0] * len(SCREAMING_SNAKE_CASE			)) + [1]
  				return [1] + ([0] * len(SCREAMING_SNAKE_CASE			)) + [1, 1] + ([0] * len(SCREAMING_SNAKE_CASE			)) + [1]
  
  
  
  
  
  	def 	A_(       self			,    SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE = None			)     ->				List[int]:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				SCREAMING_SNAKE_CASE_			=	[self.sep_token_id]
  				SCREAMING_SNAKE_CASE_			=	[self.cls_token_id]
  
  				if token_ids_a is None:
  							return len(cls + token_ids_a + sep			) * [0]
  				return len(cls + token_ids_a + sep + sep + token_ids_a + sep			) * [0]
  
  
  
  
  
  	def 	A_(       self			,    SCREAMING_SNAKE_CASE			,    SCREAMING_SNAKE_CASE=False			,    **SCREAMING_SNAKE_CASE			)     ->				Dict:
  
  
  
  
  				"""simple docstring"""
  
  
  
  				SCREAMING_SNAKE_CASE_			=	kwargs.pop('add_prefix_space'			,    self.add_prefix_space			)
  				if (is_split_into_words or add_prefix_space) and (len(SCREAMING_SNAKE_CASE			) > 0 and not text[0].isspace()):
  							SCREAMING_SNAKE_CASE_			=	''' ''' + text
  				return (text, kwargs)
  
style_context: 
  
  
  
  
  SCREAMING_SNAKE_CASE__    :    List[str]								=					"\n# Transformers installation\n! pip install transformers datasets\n# To install from source instead of the last release, comment the command above and uncomment the following one.\n# ! pip install git+https://github.com/huggingface/transformers.git\n"
  
  SCREAMING_SNAKE_CASE__    :    List[str]								=					[{"type": "code", "content": INSTALL_CONTENT}]
  SCREAMING_SNAKE_CASE__    :    List[Any]								=					{
      "{processor_class}": "FakeProcessorClass",
      "{model_class}": "FakeModelClass",
      "{object_class}": "FakeObjectClass",
  }
  