

'''simple docstring'''
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  :		str  =		logging.get_logger(__name__)


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

# See all BART models at https://huggingface.co/models?filter=bart
_UpperCAmelCase  :		Optional[int]  =		{
    '''vocab_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/vocab.json''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/vocab.json''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''facebook/bart-base''': '''https://huggingface.co/facebook/bart-base/resolve/main/merges.txt''',
        '''facebook/bart-large''': '''https://huggingface.co/facebook/bart-large/resolve/main/merges.txt''',
        '''facebook/bart-large-mnli''': '''https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt''',
        '''facebook/bart-large-cnn''': '''https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt''',
        '''facebook/bart-large-xsum''': '''https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt''',
        '''yjernite/bart_eli5''': '''https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt''',
    },
}

_UpperCAmelCase  :		Union[str, Any]  =		{
    '''facebook/bart-base''': 10_24,
    '''facebook/bart-large''': 10_24,
    '''facebook/bart-large-mnli''': 10_24,
    '''facebook/bart-large-cnn''': 10_24,
    '''facebook/bart-large-xsum''': 10_24,
    '''yjernite/bart_eli5''': 10_24,
}




@lru_cache()
def 	UpperCamelCase   (       )		->	int:




  '''simple docstring'''



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




def 	UpperCamelCase   (       lowercase_						:    int	)		->	Optional[int]:




  '''simple docstring'''



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




class 						__magic_name__   (							__SCREAMING_SNAKE_CASE ):
 UpperCamelCase__     =       VOCAB_FILES_NAMES
 UpperCamelCase__     =       PRETRAINED_VOCAB_FILES_MAP
 UpperCamelCase__     =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 UpperCamelCase__     =       ['input_ids', 'attention_mask']







 def __init__(       self  , snake_case_  , snake_case_  , snake_case_="replace"  , snake_case_="<s>"  , snake_case_="</s>"  , snake_case_="</s>"  , snake_case_="<s>"  , snake_case_="<unk>"  , snake_case_="<pad>"  , snake_case_="<mask>"  , snake_case_=False  , **snake_case_  , ):
   lowercase									=AddedToken(snake_case_  , lstrip=snake_case_  , rstrip=snake_case_   ) if isinstance(snake_case_  , snake_case_   ) else bos_token
   lowercase									=AddedToken(snake_case_  , lstrip=snake_case_  , rstrip=snake_case_   ) if isinstance(snake_case_  , snake_case_   ) else eos_token
   lowercase									=AddedToken(snake_case_  , lstrip=snake_case_  , rstrip=snake_case_   ) if isinstance(snake_case_  , snake_case_   ) else sep_token
   lowercase									=AddedToken(snake_case_  , lstrip=snake_case_  , rstrip=snake_case_   ) if isinstance(snake_case_  , snake_case_   ) else cls_token
   lowercase									=AddedToken(snake_case_  , lstrip=snake_case_  , rstrip=snake_case_   ) if isinstance(snake_case_  , snake_case_   ) else unk_token
   lowercase									=AddedToken(snake_case_  , lstrip=snake_case_  , rstrip=snake_case_   ) if isinstance(snake_case_  , snake_case_   ) else pad_token

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

   super().__init__(
       errors=snake_case_  , bos_token=snake_case_  , eos_token=snake_case_  , unk_token=snake_case_  , sep_token=snake_case_  , cls_token=snake_case_  , pad_token=snake_case_  , mask_token=snake_case_  , add_prefix_space=snake_case_  , **snake_case_  , )

   with open(snake_case_  , encoding='''utf-8'''   ) as vocab_handle:
     lowercase									=json.load(snake_case_   )
   lowercase									={v: k for k, v in self.encoder.items()}
   lowercase									=errors  # how to handle errors in decoding
   lowercase									=bytes_to_unicode()
   lowercase									={v: k for k, v in self.byte_encoder.items()}
   with open(snake_case_  , encoding='''utf-8'''   ) as merges_handle:
     lowercase									=merges_handle.read().split('''\n'''   )[1:-1]
   lowercase									=[tuple(merge.split()   ) for merge in bpe_merges]
   lowercase									=dict(zip(snake_case_  , range(len(snake_case_   )   )   )   )
   lowercase									={}
   lowercase									=add_prefix_space

   # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
   lowercase									=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   ):
   return len(self.encoder   )







 def 						_A(       self   ):
   return dict(self.encoder  , **self.added_tokens_encoder   )







 def 						_A(       self  , snake_case_   ):
   if token in self.cache:
     return self.cache[token]
   lowercase									=tuple(snake_case_   )
   lowercase									=get_pairs(snake_case_   )

   if not pairs:
     return token

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

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







 def 						_A(       self  , snake_case_   ):
   lowercase									=[]
   for token in re.findall(self.pat  , snake_case_   ):
     lowercase									=''''''.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(snake_case_   ).split(''' '''   )   )
   return bpe_tokens







 def 						_A(       self  , snake_case_   ):
   return self.encoder.get(snake_case_  , self.encoder.get(self.unk_token   )   )







 def 						_A(       self  , snake_case_   ):
   return self.decoder.get(snake_case_   )







 def 						_A(       self  , snake_case_   ):
   lowercase									=''''''.join(snake_case_   )
   lowercase									=bytearray([self.byte_decoder[c] for c in text]   ).decode('''utf-8'''  , errors=self.errors   )
   return text







 def 						_A(       self  , snake_case_  , snake_case_ = None   ):
   if not os.path.isdir(snake_case_   ):
     logger.error(f'Vocabulary path ({save_directory}) should be a directory'   )
     return
   lowercase									=os.path.join(
       snake_case_  , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']   )
   lowercase									=os.path.join(
       snake_case_  , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file''']   )

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

   lowercase									=0
   with open(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 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!'''   )
         lowercase									=token_index
       writer.write(''' '''.join(snake_case_   ) + '''\n'''   )
       index += 1

   return vocab_file, merge_file







 def 						_A(       self  , snake_case_  , snake_case_ = None   ):
   if token_ids_a is None:
     return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
   lowercase									=[self.cls_token_id]
   lowercase									=[self.sep_token_id]
   return cls + token_ids_a + sep + sep + token_ids_a + sep







 def 						_A(       self  , snake_case_  , snake_case_ = None  , snake_case_ = False   ):
   if already_has_special_tokens:
     return super().get_special_tokens_mask(
         token_ids_a=snake_case_  , token_ids_a=snake_case_  , already_has_special_tokens=snake_case_   )

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







 def 						_A(       self  , snake_case_  , snake_case_ = None   ):
   lowercase									=[self.sep_token_id]
   lowercase									=[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  , snake_case_  , snake_case_=False  , **snake_case_   ):
   lowercase									=kwargs.pop('''add_prefix_space'''  , self.add_prefix_space   )
   if (is_split_into_words or add_prefix_space) and (len(snake_case_   ) > 0 and not text[0].isspace()):
     lowercase									=''' ''' + text
   return (text, kwargs)







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


UpperCAmelCase_							=				{
    """configuration_m2m_100""": ["""M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP""", """M2M100Config""", """M2M100OnnxConfig"""],
    """tokenization_m2m_100""": ["""M2M100Tokenizer"""],
}


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase_							=				[
							    """M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """M2M100ForConditionalGeneration""",
							    """M2M100Model""",
							    """M2M100PreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_mam_aaa import M2M_100_PRETRAINED_CONFIG_ARCHIVE_MAP, MaMaaaConfig, MaMaaaOnnxConfig
							from .tokenization_mam_aaa import MaMaaaTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mam_aaa import (
														    M2M_100_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MaMaaaForConditionalGeneration,
														    MaMaaaModel,
														    MaMaaaPreTrainedModel,
														)


else:
							import sys

							UpperCAmelCase_							=				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)