from transformers import ProcessorMixin



class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     A_					    =	'AutoFeatureExtractor'
     A_					    =	'AutoTokenizer'
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


snake_case__						      =			logging.get_logger(__name__)


snake_case__						      =			{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

# See all MVP models at https://huggingface.co/models?filter=mvp
snake_case__						      =			{
    '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',
    },
}

snake_case__						      =			{
    'RUCAIBox/mvp': 1024,
}
@lru_cache()
def    __magic_name__(	)    ->     List[str]:



      '''simple docstring'''

      _lowerCamelCase           =					(
          list(range(ord('''!'''		)			,    ord('''~'''		) + 1		)		) + list(range(ord('''¡'''		)			,    ord('''¬'''		) + 1		)		) + list(range(ord('''®'''		)			,    ord('''ÿ'''		) + 1		)		)
      )
      _lowerCamelCase           =					bs[:]
      _lowerCamelCase           =					0
      for b in range(2**8		):
            if b not in bs:
                  bs.append(__UpperCAmelCase		)
                  cs.append(2**8 + n		)
                  n += 1
      _lowerCamelCase           =					[chr(__UpperCAmelCase		) for n in cs]
      return dict(zip(__UpperCAmelCase			,    __UpperCAmelCase		)		)
def    __magic_name__(	__UpperCAmelCase		)    ->     List[Any]:



      '''simple docstring'''

      _lowerCamelCase           =					set()
      _lowerCamelCase           =					word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)		)
            _lowerCamelCase           =					char
      return pairs




class 			UpperCamelCase					(			__lowercase			):

     '''simple docstring'''

     A_					    =	VOCAB_FILES_NAMES
     A_					    =	PRETRAINED_VOCAB_FILES_MAP
     A_					    =	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     A_					    =	['input_ids', 'attention_mask']



     def __init__(       self					,					A_					,					A_					,					A_="replace"					,					A_="<s>"					,					A_="</s>"					,					A_="</s>"					,					A_="<s>"					,					A_="<unk>"					,					A_="<pad>"					,					A_="<mask>"					,					A_=False					,					**A_					,					)			->					Union[str, Any]:






           """simple docstring"""
           _lowerCamelCase           =					AddedToken(A_					,					lstrip=A_					,					rstrip=A_    ) if isinstance(A_					,					A_    ) else bos_token
           _lowerCamelCase           =					AddedToken(A_					,					lstrip=A_					,					rstrip=A_    ) if isinstance(A_					,					A_    ) else eos_token
           _lowerCamelCase           =					AddedToken(A_					,					lstrip=A_					,					rstrip=A_    ) if isinstance(A_					,					A_    ) else sep_token
           _lowerCamelCase           =					AddedToken(A_					,					lstrip=A_					,					rstrip=A_    ) if isinstance(A_					,					A_    ) else cls_token
           _lowerCamelCase           =					AddedToken(A_					,					lstrip=A_					,					rstrip=A_    ) if isinstance(A_					,					A_    ) else unk_token
           _lowerCamelCase           =					AddedToken(A_					,					lstrip=A_					,					rstrip=A_    ) if isinstance(A_					,					A_    ) else pad_token

           # Mask token behave like a normal word, i.e. include the space before it
           _lowerCamelCase           =					AddedToken(A_					,					lstrip=A_					,					rstrip=A_    ) if isinstance(A_					,					A_    ) else mask_token

           super().__init__(
               errors=A_					,					bos_token=A_					,					eos_token=A_					,					unk_token=A_					,					sep_token=A_					,					cls_token=A_					,					pad_token=A_					,					mask_token=A_					,					add_prefix_space=A_					,					**A_					,					)
           with open(A_					,					encoding='''utf-8'''    ) as vocab_handle:
                 _lowerCamelCase           =					json.load(A_    )
           _lowerCamelCase           =					{v: k for k, v in self.encoder.items()}
           _lowerCamelCase           =					errors  # how to handle errors in decoding
           _lowerCamelCase           =					bytes_to_unicode()
           _lowerCamelCase           =					{v: k for k, v in self.byte_encoder.items()}
           with open(A_					,					encoding='''utf-8'''    ) as merges_handle:
                 _lowerCamelCase           =					merges_handle.read().split('''\n'''    )[1:-1]
           _lowerCamelCase           =					[tuple(merge.split()    ) for merge in bpe_merges]
           _lowerCamelCase           =					dict(zip(A_					,					range(len(A_    )    )    )    )
           _lowerCamelCase           =					{}
           _lowerCamelCase           =					add_prefix_space

           # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
           _lowerCamelCase           =					re.compile(r'''\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'''    )



     @property
     def 		UpperCamelCase_    (       self    )			->					Dict:






           """simple docstring"""
           return len(self.encoder    )



     def 		UpperCamelCase_    (       self    )			->					Tuple:






           """simple docstring"""
           return dict(self.encoder					,					**self.added_tokens_encoder    )



     def 		UpperCamelCase_    (       self					,					A_    )			->					str:






           """simple docstring"""
           if token in self.cache:
                 return self.cache[token]
           _lowerCamelCase           =					tuple(A_    )
           _lowerCamelCase           =					get_pairs(A_    )

           if not pairs:
                 return token

           while True:
                 _lowerCamelCase           =					min(A_					,					key=lambda A_    : self.bpe_ranks.get(A_					,					float('''inf'''    )    )    )
                 if bigram not in self.bpe_ranks:
                       break
                 _lowerCamelCase     ,       _lowerCamelCase           =					bigram
                 _lowerCamelCase           =					[]
                 _lowerCamelCase           =					0
                 while i < len(A_    ):
                       try:
                             _lowerCamelCase           =					word.index(A_					,					A_    )
                       except ValueError:
                             new_word.extend(word[i:]    )
                             break
                       else:
                             new_word.extend(word[i:j]    )
                             _lowerCamelCase           =					j

                       if word[i] == first and i < len(A_    ) - 1 and word[i + 1] == second:
                             new_word.append(first + second    )
                             i += 2
                       else:
                             new_word.append(word[i]    )
                             i += 1
                 _lowerCamelCase           =					tuple(A_    )
                 _lowerCamelCase           =					new_word
                 if len(A_    ) == 1:
                       break
                 else:
                       _lowerCamelCase           =					get_pairs(A_    )
           _lowerCamelCase           =					''' '''.join(A_    )
           _lowerCamelCase           =					word
           return word



     def 		UpperCamelCase_    (       self					,					A_    )			->					List[Any]:






           """simple docstring"""
           _lowerCamelCase           =					[]
           for token in re.findall(self.pat					,					A_    ):
                 _lowerCamelCase           =					''''''.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(A_    ).split(''' '''    )    )
           return bpe_tokens



     def 		UpperCamelCase_    (       self					,					A_    )			->					Optional[Any]:






           """simple docstring"""
           return self.encoder.get(A_					,					self.encoder.get(self.unk_token    )    )



     def 		UpperCamelCase_    (       self					,					A_    )			->					Any:






           """simple docstring"""
           return self.decoder.get(A_    )



     def 		UpperCamelCase_    (       self					,					A_    )			->					Dict:






           """simple docstring"""
           _lowerCamelCase           =					''''''.join(A_    )
           _lowerCamelCase           =					bytearray([self.byte_decoder[c] for c in text]    ).decode('''utf-8'''					,					errors=self.errors    )
           return text



     def 		UpperCamelCase_    (       self					,					A_					,					A_ = None    )			->					Tuple[str]:






           """simple docstring"""
           if not os.path.isdir(A_    ):
                 logger.error(F'Vocabulary path ({save_directory}) should be a directory'    )
                 return
           _lowerCamelCase           =					os.path.join(
               A_					,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']    )
           _lowerCamelCase           =					os.path.join(
               A_					,					(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']    )

           with open(A_					,					'''w'''					,					encoding='''utf-8'''    ) as f:
                 f.write(json.dumps(self.encoder					,					indent=2					,					sort_keys=A_					,					ensure_ascii=A_    ) + '''\n'''    )

           _lowerCamelCase           =					0
           with open(A_					,					'''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 A_    : 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!'''    )
                             _lowerCamelCase           =					token_index
                       writer.write(''' '''.join(A_    ) + '''\n'''    )
                       index += 1

           return vocab_file, merge_file



     def 		UpperCamelCase_    (       self					,					A_					,					A_ = None    )			->					List[int]:






           """simple docstring"""
           if token_ids_a is None:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
           _lowerCamelCase           =					[self.cls_token_id]
           _lowerCamelCase           =					[self.sep_token_id]
           return cls + token_ids_a + sep + sep + token_ids_a + sep



     def 		UpperCamelCase_    (       self					,					A_					,					A_ = None					,					A_ = False    )			->					List[int]:






           """simple docstring"""
           if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=A_					,					token_ids_a=A_					,					already_has_special_tokens=A_    )

           if token_ids_a is None:
                 return [1] + ([0] * len(A_    )) + [1]
           return [1] + ([0] * len(A_    )) + [1, 1] + ([0] * len(A_    )) + [1]



     def 		UpperCamelCase_    (       self					,					A_					,					A_ = None    )			->					List[int]:






           """simple docstring"""
           _lowerCamelCase           =					[self.sep_token_id]
           _lowerCamelCase           =					[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 		UpperCamelCase_    (       self					,					A_					,					A_=False					,					**A_    )			->					Dict:






           """simple docstring"""
           _lowerCamelCase           =					kwargs.pop('''add_prefix_space'''					,					self.add_prefix_space    )
           if (is_split_into_words or add_prefix_space) and (len(A_    ) > 0 and not text[0].isspace()):
                 _lowerCamelCase           =					''' ''' + text
           return (text, kwargs)