


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


__UpperCamelCase							:							int    							=					logging.get_logger(__name__)


__UpperCamelCase							:							Optional[Any]    							=					{"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all MVP models at https://huggingface.co/models?filter=mvp
__UpperCamelCase							:							List[Any]    							=					{
    "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",
    },
}

__UpperCamelCase							:							List[Any]    							=					{
    "RUCAIBox/mvp": 1024,
}

@lru_cache()
def       _a	(					):







 """simple docstring"""



 UpperCamelCase__       :     List[Any] 							= (
     list(range(ord('''!'''  )     ,			ord('''~'''  ) + 1  )  ) + list(range(ord('''¡'''  )     ,			ord('''¬'''  ) + 1  )  ) + list(range(ord('''®'''  )     ,			ord('''ÿ'''  ) + 1  )  )
 )
 UpperCamelCase__       :     Optional[Any] 							= bs[:]
 UpperCamelCase__       :     Dict 							= 0
 for b in range(2**8  ):
  if b not in bs:
   bs.append(SCREAMING_SNAKE_CASE  )
   cs.append(2**8 + n  )
   n += 1
 UpperCamelCase__       :     Any 							= [chr(SCREAMING_SNAKE_CASE  ) for n in cs]
 return dict(zip(SCREAMING_SNAKE_CASE     ,			SCREAMING_SNAKE_CASE  )  )

def       _a	(					SCREAMING_SNAKE_CASE						:					Optional[Any]  ):







 """simple docstring"""



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






class    __magic_name__						(  __lowerCAmelCase):
     A:		str								=   VOCAB_FILES_NAMES
     A:		Any								=   PRETRAINED_VOCAB_FILES_MAP
     A:		Tuple								=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     A:		int								=   ["input_ids", "attention_mask"]


     def __init__(   self				:  List[Any]				,						lowerCamelCase__				:  Tuple				,						lowerCamelCase__				:  str				,						lowerCamelCase__				:  int="replace"				,						lowerCamelCase__				:  int="<s>"				,						lowerCamelCase__				:  Tuple="</s>"				,						lowerCamelCase__				:  str="</s>"				,						lowerCamelCase__				:  Optional[int]="<s>"				,						lowerCamelCase__				:  Tuple="<unk>"				,						lowerCamelCase__				:  List[Any]="<pad>"				,						lowerCamelCase__				:  int="<mask>"				,						lowerCamelCase__				:  Dict=False				,						**lowerCamelCase__				:  Any				,						)	->   Optional[int]:





      '''simple docstring'''






      UpperCamelCase__       :     Dict 							= AddedToken(lowerCamelCase__				,						lstrip=lowerCamelCase__				,						rstrip=lowerCamelCase__      ) if isinstance(lowerCamelCase__				,						lowerCamelCase__      ) else bos_token
      UpperCamelCase__       :     Union[str, Any] 							= AddedToken(lowerCamelCase__				,						lstrip=lowerCamelCase__				,						rstrip=lowerCamelCase__      ) if isinstance(lowerCamelCase__				,						lowerCamelCase__      ) else eos_token
      UpperCamelCase__       :     Any 							= AddedToken(lowerCamelCase__				,						lstrip=lowerCamelCase__				,						rstrip=lowerCamelCase__      ) if isinstance(lowerCamelCase__				,						lowerCamelCase__      ) else sep_token
      UpperCamelCase__       :     Dict 							= AddedToken(lowerCamelCase__				,						lstrip=lowerCamelCase__				,						rstrip=lowerCamelCase__      ) if isinstance(lowerCamelCase__				,						lowerCamelCase__      ) else cls_token
      UpperCamelCase__       :     Any 							= AddedToken(lowerCamelCase__				,						lstrip=lowerCamelCase__				,						rstrip=lowerCamelCase__      ) if isinstance(lowerCamelCase__				,						lowerCamelCase__      ) else unk_token
      UpperCamelCase__       :     str 							= AddedToken(lowerCamelCase__				,						lstrip=lowerCamelCase__				,						rstrip=lowerCamelCase__      ) if isinstance(lowerCamelCase__				,						lowerCamelCase__      ) else pad_token

      # Mask token behave like a normal word, i.e. include the space before it
      UpperCamelCase__       :     List[str] 							= AddedToken(lowerCamelCase__				,						lstrip=lowerCamelCase__				,						rstrip=lowerCamelCase__      ) if isinstance(lowerCamelCase__				,						lowerCamelCase__      ) else mask_token

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

      # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
      UpperCamelCase__       :     List[Any] 							= 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				:  Optional[int]      )	->   str:





      '''simple docstring'''






      return len(self.encoder      )


     def   UpperCAmelCase__						(   self				:  Optional[Any]      )	->   int:





      '''simple docstring'''






      return dict(self.encoder				,						**self.added_tokens_encoder      )


     def   UpperCAmelCase__						(   self				:  List[Any]				,						lowerCamelCase__				:  str      )	->   int:





      '''simple docstring'''






      if token in self.cache:
       return self.cache[token]
      UpperCamelCase__       :     Any 							= tuple(lowerCamelCase__      )
      UpperCamelCase__       :     Dict 							= get_pairs(lowerCamelCase__      )

      if not pairs:
       return token

      while True:
       UpperCamelCase__       :     int 							= min(lowerCamelCase__				,						key=lambda lowerCamelCase__      : self.bpe_ranks.get(lowerCamelCase__				,						float('''inf'''      )      )      )
       if bigram not in self.bpe_ranks:
        break
       UpperCamelCase__							,					UpperCamelCase__       :     Any 							= bigram
       UpperCamelCase__       :     Union[str, Any] 							= []
       UpperCamelCase__       :     Dict 							= 0
       while i < len(lowerCamelCase__      ):
        try:
         UpperCamelCase__       :     Tuple 							= word.index(lowerCamelCase__				,						lowerCamelCase__      )
        except ValueError:
         new_word.extend(word[i:]      )
         break
        else:
         new_word.extend(word[i:j]      )
         UpperCamelCase__       :     Optional[Any] 							= j

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


     def   UpperCAmelCase__						(   self				:  Any				,						lowerCamelCase__				:  Union[str, Any]      )	->   Optional[int]:





      '''simple docstring'''






      UpperCamelCase__       :     Any 							= []
      for token in re.findall(self.pat				,						lowerCamelCase__      ):
       UpperCamelCase__       :     Optional[int] 							= ''''''.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(lowerCamelCase__      ).split(''' '''      )      )
      return bpe_tokens


     def   UpperCAmelCase__						(   self				:  Tuple				,						lowerCamelCase__				:  List[Any]      )	->   Dict:





      '''simple docstring'''






      return self.encoder.get(lowerCamelCase__				,						self.encoder.get(self.unk_token      )      )


     def   UpperCAmelCase__						(   self				:  str				,						lowerCamelCase__				:  int      )	->   Tuple:





      '''simple docstring'''






      return self.decoder.get(lowerCamelCase__      )


     def   UpperCAmelCase__						(   self				:  Optional[int]				,						lowerCamelCase__				:  Optional[int]      )	->   str:





      '''simple docstring'''






      UpperCamelCase__       :     List[str] 							= ''''''.join(lowerCamelCase__      )
      UpperCamelCase__       :     str 							= bytearray([self.byte_decoder[c] for c in text]      ).decode('''utf-8'''				,						errors=self.errors      )
      return text


     def   UpperCAmelCase__						(   self				:  int				,						lowerCamelCase__				:  str				,						lowerCamelCase__				:  Optional[str] = None      )	->   Tuple[str]:





      '''simple docstring'''






      if not os.path.isdir(lowerCamelCase__      ):
       logger.error(F"Vocabulary path ({save_directory}) should be a directory"      )
       return
      UpperCamelCase__       :     Optional[Any] 							= os.path.join(
          lowerCamelCase__				,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']      )
      UpperCamelCase__       :     List[Any] 							= os.path.join(
          lowerCamelCase__				,						(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']      )

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

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

      return vocab_file, merge_file


     def   UpperCAmelCase__						(   self				:  Optional[int]				,						lowerCamelCase__				:  List[int]				,						lowerCamelCase__				:  Optional[List[int]] = None      )	->   List[int]:





      '''simple docstring'''






      if token_ids_a is None:
       return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      UpperCamelCase__       :     Any 							= [self.cls_token_id]
      UpperCamelCase__       :     int 							= [self.sep_token_id]
      return cls + token_ids_a + sep + sep + token_ids_a + sep


     def   UpperCAmelCase__						(   self				:  Any				,						lowerCamelCase__				:  List[int]				,						lowerCamelCase__				:  Optional[List[int]] = None				,						lowerCamelCase__				:  bool = False      )	->   List[int]:





      '''simple docstring'''






      if already_has_special_tokens:
       return super().get_special_tokens_mask(
           token_ids_a=lowerCamelCase__				,						token_ids_a=lowerCamelCase__				,						already_has_special_tokens=lowerCamelCase__      )

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


     def   UpperCAmelCase__						(   self				:  str				,						lowerCamelCase__				:  List[int]				,						lowerCamelCase__				:  Optional[List[int]] = None      )	->   List[int]:





      '''simple docstring'''






      UpperCamelCase__       :     str 							= [self.sep_token_id]
      UpperCamelCase__       :     str 							= [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				:  Optional[Any]				,						lowerCamelCase__				:  Tuple				,						lowerCamelCase__				:  Tuple=False				,						**lowerCamelCase__				:  Optional[Any]      )	->   str:





      '''simple docstring'''






      UpperCamelCase__       :     Optional[Any] 							= kwargs.pop('''add_prefix_space'''				,						self.add_prefix_space      )
      if (is_split_into_words or add_prefix_space) and (len(lowerCamelCase__      ) > 0 and not text[0].isspace()):
       UpperCamelCase__       :     int 							= ''' ''' + text
      return (text, kwargs)






import unittest
import warnings
from dataclasses import dataclass

from transformers.convert_slow_tokenizer import SpmConverter
from transformers.testing_utils import get_tests_dir

@dataclass
class    __magic_name__						:
     A:		str



class    __magic_name__						(  unittest.TestCase):


     def   UpperCAmelCase__						(   self				:  Any      )	->   List[Any]:





      '''simple docstring'''






      UpperCamelCase__       :     Optional[Any] 							= get_tests_dir('''fixtures/test_sentencepiece.model'''      )
      UpperCamelCase__       :     Any 							= get_tests_dir('''fixtures/test_sentencepiece_with_bytefallback.model'''      )

      UpperCamelCase__       :     List[str] 							= FakeOriginalTokenizer(vocab_file=lowerCamelCase__      )

      with warnings.catch_warnings(record=lowerCamelCase__      ) as w:
       UpperCamelCase__       :     Optional[int] 							= SpmConverter(lowerCamelCase__      )
      self.assertEqual(len(lowerCamelCase__      )				,						0      )

      UpperCamelCase__       :     Tuple 							= FakeOriginalTokenizer(vocab_file=lowerCamelCase__      )

      with warnings.catch_warnings(record=lowerCamelCase__      ) as w:
       UpperCamelCase__       :     str 							= SpmConverter(lowerCamelCase__      )
      self.assertEqual(len(lowerCamelCase__      )				,						1      )

      self.assertIn(
          '''The sentencepiece tokenizer that you are converting to a fast tokenizer uses the byte fallback option'''
          ''' which is not implemented in the fast tokenizers.'''				,						str(w[0].message      )				,						)


