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
  
  
  A_    :					List[Any]             =logging.get_logger(__name__)
  
  
  A_    :					Tuple             ={"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}
  
  # See all MVP models at https://huggingface.co/models?filter=mvp
  A_    :					int             ={
      """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""",
      },
  }
  
  A_    :					Dict             ={
      """RUCAIBox/mvp""": 1024,
  }
  
  
  
  
  @lru_cache()
  def   lowerCamelCase_       (					):
  
  
  
  						"""simple docstring"""
  
  
  
  
  						a_					=		(
  						    list(range(ord("""!"""      )       ,    ord("""~"""      ) + 1      )      ) + list(range(ord("""¡"""      )       ,    ord("""¬"""      ) + 1      )      ) + list(range(ord("""®"""      )       ,    ord("""ÿ"""      ) + 1      )      )
  						)
  						a_					=		bs[:]
  						a_					=		0
  						for b in range(2**8      ):
  												if b not in bs:
  																		bs.append(UpperCAmelCase__      )
  																		cs.append(2**8 + n      )
  																		n += 1
  						a_					=		[chr(UpperCAmelCase__      ) for n in cs]
  						return dict(zip(UpperCAmelCase__       ,    UpperCAmelCase__      )      )
  
  
  
  
  def   lowerCamelCase_       (					UpperCAmelCase__      ):
  
  
  
  						"""simple docstring"""
  
  
  
  
  						a_					=		set()
  						a_					=		word[0]
  						for char in word[1:]:
  												pairs.add((prev_char, char)      )
  												a_					=		char
  						return pairs
  
  
  
  
  
  class        lowercase_				( UpperCamelCase__):
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  
  
  							snake_case_        =		VOCAB_FILES_NAMES
  							snake_case_        =		PRETRAINED_VOCAB_FILES_MAP
  							snake_case_        =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  							snake_case_        =		['''input_ids''', '''attention_mask''']
  
  
  							def __init__(   self			,    _UpperCAmelCase			,    _UpperCAmelCase			,    _UpperCAmelCase="replace"			,    _UpperCAmelCase="<s>"			,    _UpperCAmelCase="</s>"			,    _UpperCAmelCase="</s>"			,    _UpperCAmelCase="<s>"			,    _UpperCAmelCase="<unk>"			,    _UpperCAmelCase="<pad>"			,    _UpperCAmelCase="<mask>"			,    _UpperCAmelCase=False			,    **_UpperCAmelCase			,    ):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													a_					=		AddedToken(_UpperCAmelCase			,    lstrip=_UpperCAmelCase			,    rstrip=_UpperCAmelCase		) if isinstance(_UpperCAmelCase			,    _UpperCAmelCase		) else bos_token
  													a_					=		AddedToken(_UpperCAmelCase			,    lstrip=_UpperCAmelCase			,    rstrip=_UpperCAmelCase		) if isinstance(_UpperCAmelCase			,    _UpperCAmelCase		) else eos_token
  													a_					=		AddedToken(_UpperCAmelCase			,    lstrip=_UpperCAmelCase			,    rstrip=_UpperCAmelCase		) if isinstance(_UpperCAmelCase			,    _UpperCAmelCase		) else sep_token
  													a_					=		AddedToken(_UpperCAmelCase			,    lstrip=_UpperCAmelCase			,    rstrip=_UpperCAmelCase		) if isinstance(_UpperCAmelCase			,    _UpperCAmelCase		) else cls_token
  													a_					=		AddedToken(_UpperCAmelCase			,    lstrip=_UpperCAmelCase			,    rstrip=_UpperCAmelCase		) if isinstance(_UpperCAmelCase			,    _UpperCAmelCase		) else unk_token
  													a_					=		AddedToken(_UpperCAmelCase			,    lstrip=_UpperCAmelCase			,    rstrip=_UpperCAmelCase		) if isinstance(_UpperCAmelCase			,    _UpperCAmelCase		) else pad_token
  
  													# Mask token behave like a normal word, i.e. include the space before it
  													a_					=		AddedToken(_UpperCAmelCase			,    lstrip=_UpperCAmelCase			,    rstrip=_UpperCAmelCase		) if isinstance(_UpperCAmelCase			,    _UpperCAmelCase		) else mask_token
  
  													super().__init__(
  													    errors=_UpperCAmelCase			,    bos_token=_UpperCAmelCase			,    eos_token=_UpperCAmelCase			,    unk_token=_UpperCAmelCase			,    sep_token=_UpperCAmelCase			,    cls_token=_UpperCAmelCase			,    pad_token=_UpperCAmelCase			,    mask_token=_UpperCAmelCase			,    add_prefix_space=_UpperCAmelCase			,    **_UpperCAmelCase			,    )
  													with open(_UpperCAmelCase			,    encoding="""utf-8"""		) as vocab_handle:
  																			a_					=		json.load(_UpperCAmelCase		)
  													a_					=		{v: k for k, v in self.encoder.items()}
  													a_					=		errors  # how to handle errors in decoding
  													a_					=		bytes_to_unicode()
  													a_					=		{v: k for k, v in self.byte_encoder.items()}
  													with open(_UpperCAmelCase			,    encoding="""utf-8"""		) as merges_handle:
  																			a_					=		merges_handle.read().split("""\n"""		)[1:-1]
  													a_					=		[tuple(merge.split()		) for merge in bpe_merges]
  													a_					=		dict(zip(_UpperCAmelCase			,    range(len(_UpperCAmelCase		)		)		)		)
  													a_					=		{}
  													a_					=		add_prefix_space
  
  													# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
  													a_					=		re.compile(R"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""		)
  
  
  							@property
  							def 						lowercase__     (   self		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													return len(self.encoder		)
  
  
  							def 						lowercase__     (   self		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													return dict(self.encoder			,    **self.added_tokens_encoder		)
  
  
  							def 						lowercase__     (   self			,    _UpperCAmelCase		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													if token in self.cache:
  																			return self.cache[token]
  													a_					=		tuple(_UpperCAmelCase		)
  													a_					=		get_pairs(_UpperCAmelCase		)
  
  													if not pairs:
  																			return token
  
  													while True:
  																			a_					=		min(_UpperCAmelCase			,    key=lambda _UpperCAmelCase		: self.bpe_ranks.get(_UpperCAmelCase			,    float("""inf"""		)		)		)
  																			if bigram not in self.bpe_ranks:
  																									break
  																			a_			,   a_					=		bigram
  																			a_					=		[]
  																			a_					=		0
  																			while i < len(_UpperCAmelCase		):
  																									try:
  																															a_					=		word.index(_UpperCAmelCase			,    _UpperCAmelCase		)
  																									except ValueError:
  																															new_word.extend(word[i:]		)
  																															break
  																									else:
  																															new_word.extend(word[i:j]		)
  																															a_					=		j
  
  																									if word[i] == first and i < len(_UpperCAmelCase		) - 1 and word[i + 1] == second:
  																															new_word.append(first + second		)
  																															i += 2
  																									else:
  																															new_word.append(word[i]		)
  																															i += 1
  																			a_					=		tuple(_UpperCAmelCase		)
  																			a_					=		new_word
  																			if len(_UpperCAmelCase		) == 1:
  																									break
  																			else:
  																									a_					=		get_pairs(_UpperCAmelCase		)
  													a_					=		""" """.join(_UpperCAmelCase		)
  													a_					=		word
  													return word
  
  
  							def 						lowercase__     (   self			,    _UpperCAmelCase		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													a_					=		[]
  													for token in re.findall(self.pat			,    _UpperCAmelCase		):
  																			a_					=		"""""".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(_UpperCAmelCase		).split(""" """		)		)
  													return bpe_tokens
  
  
  							def 						lowercase__     (   self			,    _UpperCAmelCase		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													return self.encoder.get(_UpperCAmelCase			,    self.encoder.get(self.unk_token		)		)
  
  
  							def 						lowercase__     (   self			,    _UpperCAmelCase		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													return self.decoder.get(_UpperCAmelCase		)
  
  
  							def 						lowercase__     (   self			,    _UpperCAmelCase		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													a_					=		"""""".join(_UpperCAmelCase		)
  													a_					=		bytearray([self.byte_decoder[c] for c in text]		).decode("""utf-8"""			,    errors=self.errors		)
  													return text
  
  
  							def 						lowercase__     (   self			,    _UpperCAmelCase			,    _UpperCAmelCase = None		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													if not os.path.isdir(_UpperCAmelCase		):
  																			logger.error(f"Vocabulary path ({save_directory}) should be a directory"		)
  																			return
  													a_					=		os.path.join(
  													    _UpperCAmelCase			,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]		)
  													a_					=		os.path.join(
  													    _UpperCAmelCase			,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]		)
  
  													with open(_UpperCAmelCase			,    """w"""			,    encoding="""utf-8"""		) as f:
  																			f.write(json.dumps(self.encoder			,    indent=2			,    sort_keys=_UpperCAmelCase			,    ensure_ascii=_UpperCAmelCase		) + """\n"""		)
  
  													a_					=		0
  													with open(_UpperCAmelCase			,    """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 _UpperCAmelCase		: 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!"""		)
  																															a_					=		token_index
  																									writer.write(""" """.join(_UpperCAmelCase		) + """\n"""		)
  																									index += 1
  
  													return vocab_file, merge_file
  
  
  							def 						lowercase__     (   self			,    _UpperCAmelCase			,    _UpperCAmelCase = None		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													if token_ids_a is None:
  																			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
  													a_					=		[self.cls_token_id]
  													a_					=		[self.sep_token_id]
  													return cls + token_ids_a + sep + sep + token_ids_a + sep
  
  
  							def 						lowercase__     (   self			,    _UpperCAmelCase			,    _UpperCAmelCase = None			,    _UpperCAmelCase = False		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													if already_has_special_tokens:
  																			return super().get_special_tokens_mask(
  																			    token_ids_a=_UpperCAmelCase			,    token_ids_a=_UpperCAmelCase			,    already_has_special_tokens=_UpperCAmelCase		)
  
  													if token_ids_a is None:
  																			return [1] + ([0] * len(_UpperCAmelCase		)) + [1]
  													return [1] + ([0] * len(_UpperCAmelCase		)) + [1, 1] + ([0] * len(_UpperCAmelCase		)) + [1]
  
  
  							def 						lowercase__     (   self			,    _UpperCAmelCase			,    _UpperCAmelCase = None		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													a_					=		[self.sep_token_id]
  													a_					=		[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 						lowercase__     (   self			,    _UpperCAmelCase			,    _UpperCAmelCase=False			,    **_UpperCAmelCase		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													a_					=		kwargs.pop("""add_prefix_space"""			,    self.add_prefix_space		)
  													if (is_split_into_words or add_prefix_space) and (len(_UpperCAmelCase		) > 0 and not text[0].isspace()):
  																			a_					=		""" """ + text
  													return (text, kwargs)
style_context: 
  
  
  import abc
  import copy
  import dataclasses
  from dataclasses import dataclass
  from typing import ClassVar, Dict, Type, TypeVar
  
  from ..features import Features
  
  
  A_    :					Tuple             =TypeVar("""T""", bound="""TaskTemplate""")
  
  
  
  
  
  @dataclass(frozen=UpperCamelCase__)
  class        lowercase_				( abc.ABC):
  
  
  
  
  
  
  							"""simple docstring"""
  
  
  
  
  
  
  
  							snake_case_        =		42
  							snake_case_        =		42
  							snake_case_        =		42
  
  
  							def 						lowercase__     (   self			,    _UpperCAmelCase		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													return copy.deepcopy(self		)
  
  
  							@property
  							def 						lowercase__     (   self		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													return Features(**self.input_schema			,    **self.label_schema		)
  
  
  							@property
  							@abc.abstractmethod
  							def 						lowercase__     (   self		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													raise NotImplementedError
  
  
  
  
  
  
  							@classmethod
  							def 						lowercase__     (   cls			,    _UpperCAmelCase		):
  
  
  
  
  
  
  
  													"""simple docstring"""
  
  
  													a_					=		{f.name for f in dataclasses.fields(cls		)}
  													return cls(**{k: v for k, v in template_dict.items() if k in field_names}		)