





'''simple docstring'''






import json
import os
import re
import unicodedata
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


snake_case_     			=						logging.get_logger(__name__)

snake_case_     			=						{
    """src_vocab_file""": """vocab-src.json""",
    """tgt_vocab_file""": """vocab-tgt.json""",
    """merges_file""": """merges.txt""",
}

snake_case_     			=						{
    """src_vocab_file""": {
        """stas/tiny-wmt19-en-de""": """https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-src.json"""
    },
    """tgt_vocab_file""": {
        """stas/tiny-wmt19-en-de""": """https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/vocab-tgt.json"""
    },
    """merges_file""": {"""stas/tiny-wmt19-en-de""": """https://huggingface.co/stas/tiny-wmt19-en-de/resolve/main/merges.txt"""},
}

snake_case_     			=						{"""stas/tiny-wmt19-en-de""": 10_24}
snake_case_     			=						{
    """stas/tiny-wmt19-en-de""": {
        """langs""": ["""en""", """de"""],
        """model_max_length""": 10_24,
        """special_tokens_map_file""": None,
        """full_tokenizer_file""": None,
    }
}
def 				_lowerCamelCase(	UpperCamelCase__     :			int		)		->	Any:
    A							:							int				=    set()
    A							:							Union[str, Any]				=    word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)		)
        A							:							List[Any]				=    char
    return pairs
def 				_lowerCamelCase(	UpperCamelCase__     :			Dict		)		->	int:
    A							:							Any				=    text.replace('''，'''     ,							''','''		)
    A							:							Optional[int]				=    re.sub(R'''。\s*'''     ,							'''. '''     ,							UpperCamelCase__		)
    A							:							Optional[Any]				=    text.replace('''、'''     ,							''','''		)
    A							:							Any				=    text.replace('''”'''     ,							'''"'''		)
    A							:							str				=    text.replace('''“'''     ,							'''"'''		)
    A							:							int				=    text.replace('''∶'''     ,							''':'''		)
    A							:							Optional[Any]				=    text.replace('''：'''     ,							''':'''		)
    A							:							Dict				=    text.replace('''？'''     ,							'''?'''		)
    A							:							Optional[int]				=    text.replace('''《'''     ,							'''"'''		)
    A							:							Tuple				=    text.replace('''》'''     ,							'''"'''		)
    A							:							Tuple				=    text.replace('''）'''     ,							''')'''		)
    A							:							Optional[Any]				=    text.replace('''！'''     ,							'''!'''		)
    A							:							List[str]				=    text.replace('''（'''     ,							'''('''		)
    A							:							List[Any]				=    text.replace('''；'''     ,							''';'''		)
    A							:							Union[str, Any]				=    text.replace('''１'''     ,							'''1'''		)
    A							:							Optional[Any]				=    text.replace('''」'''     ,							'''"'''		)
    A							:							Dict				=    text.replace('''「'''     ,							'''"'''		)
    A							:							Dict				=    text.replace('''０'''     ,							'''0'''		)
    A							:							Optional[Any]				=    text.replace('''３'''     ,							'''3'''		)
    A							:							Dict				=    text.replace('''２'''     ,							'''2'''		)
    A							:							Tuple				=    text.replace('''５'''     ,							'''5'''		)
    A							:							Union[str, Any]				=    text.replace('''６'''     ,							'''6'''		)
    A							:							List[str]				=    text.replace('''９'''     ,							'''9'''		)
    A							:							Optional[Any]				=    text.replace('''７'''     ,							'''7'''		)
    A							:							Union[str, Any]				=    text.replace('''８'''     ,							'''8'''		)
    A							:							Any				=    text.replace('''４'''     ,							'''4'''		)
    A							:							Tuple				=    re.sub(R'''．\s*'''     ,							'''. '''     ,							UpperCamelCase__		)
    A							:							List[Any]				=    text.replace('''～'''     ,							'''~'''		)
    A							:							str				=    text.replace('''’'''     ,							'''\''''		)
    A							:							Any				=    text.replace('''…'''     ,							'''...'''		)
    A							:							str				=    text.replace('''━'''     ,							'''-'''		)
    A							:							Any				=    text.replace('''〈'''     ,							'''<'''		)
    A							:							Optional[Any]				=    text.replace('''〉'''     ,							'''>'''		)
    A							:							List[Any]				=    text.replace('''【'''     ,							'''['''		)
    A							:							Dict				=    text.replace('''】'''     ,							''']'''		)
    A							:							Tuple				=    text.replace('''％'''     ,							'''%'''		)
    return text
def 				_lowerCamelCase(	UpperCamelCase__     :			Dict		)		->	List[str]:
    A							:							int				=    []
    for char in text:
        A							:							List[str]				=    unicodedata.category(UpperCamelCase__		)
        if cat.startswith('''C'''		):
            continue
        output.append(UpperCamelCase__		)
    return "".join(UpperCamelCase__		)





class 	_lowercase    (				a					):
   _UpperCamelCase									= VOCAB_FILES_NAMES
   _UpperCamelCase									= PRETRAINED_VOCAB_FILES_MAP
   _UpperCamelCase									= PRETRAINED_INIT_CONFIGURATION
   _UpperCamelCase									= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _UpperCamelCase									= ["""input_ids""", """attention_mask"""]


   def __init__(			self     , _UpperCAmelCase=None     , _UpperCAmelCase=None     , _UpperCAmelCase=None     , _UpperCAmelCase=None     , _UpperCAmelCase=False     , _UpperCAmelCase="<unk>"     , _UpperCAmelCase="<s>"     , _UpperCAmelCase="</s>"     , _UpperCAmelCase="<pad>"     , **_UpperCAmelCase     , ):
       super().__init__(
           langs=_UpperCAmelCase     , src_vocab_file=_UpperCAmelCase     , tgt_vocab_file=_UpperCAmelCase     , merges_file=_UpperCAmelCase     , do_lower_case=_UpperCAmelCase     , unk_token=_UpperCAmelCase     , bos_token=_UpperCAmelCase     , sep_token=_UpperCAmelCase     , pad_token=_UpperCAmelCase     , **_UpperCAmelCase     , )

       try:
           import sacremoses
       except ImportError:
           raise ImportError(
               '''You need to install sacremoses to use XLMTokenizer. '''
               '''See https://pypi.org/project/sacremoses/ for installation.'''       )

       A							:							List[Any]				=    sacremoses

       A							:							Optional[int]				=    src_vocab_file
       A							:							int				=    tgt_vocab_file
       A							:							Any				=    merges_file
       A							:							Union[str, Any]				=    do_lower_case

       # cache of sm.MosesPunctNormalizer instance
       A							:							Optional[Any]				=    {}
       # cache of sm.MosesTokenizer instance
       A							:							List[str]				=    {}
       A							:							Any				=    {}

       if langs and len(_UpperCAmelCase       ) == 2:
           A,						A							:							Tuple				=    langs
       else:
           raise ValueError(
               f'''arg `langs` needs to be a list of 2 langs, e.g. [\'en\', \'ru\'], but got {langs}. '''
               '''Usually that means that tokenizer can\'t find a mapping for the given model path '''
               '''in PRETRAINED_VOCAB_FILES_MAP, and other maps of this tokenizer.'''       )

       with open(_UpperCAmelCase     , encoding='''utf-8'''       ) as src_vocab_handle:
           A							:							Optional[Any]				=    json.load(_UpperCAmelCase       )
       with open(_UpperCAmelCase     , encoding='''utf-8'''       ) as tgt_vocab_handle:
           A							:							List[str]				=    json.load(_UpperCAmelCase       )
           A							:							Optional[int]				=    {v: k for k, v in tgt_vocab.items()}
       with open(_UpperCAmelCase     , encoding='''utf-8'''       ) as merges_handle:
           A							:							List[str]				=    merges_handle.read().split('''\n'''       )[:-1]
       A							:							Optional[int]				=    [tuple(merge.split()[:2]       ) for merge in merges]
       A							:							Optional[Any]				=    dict(zip(_UpperCAmelCase     , range(len(_UpperCAmelCase       )       )       )       )
       A							:							Optional[Any]				=    {}


   def        snake_case					(			self       ):
       return self.get_src_vocab()


   @property
   def        snake_case					(			self       ):
       return self.src_vocab_size


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase       ):
       if lang not in self.cache_moses_punct_normalizer:
           A							:							Dict				=    self.sm.MosesPunctNormalizer(lang=_UpperCAmelCase       )
           A							:							Any				=    punct_normalizer
       return self.cache_moses_punct_normalizer[lang].normalize(_UpperCAmelCase       )


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase       ):
       if lang not in self.cache_moses_tokenizer:
           A							:							str				=    self.sm.MosesTokenizer(lang=_UpperCAmelCase       )
           A							:							int				=    moses_tokenizer
       return self.cache_moses_tokenizer[lang].tokenize(
           _UpperCAmelCase     , aggressive_dash_splits=_UpperCAmelCase     , return_str=_UpperCAmelCase     , escape=_UpperCAmelCase       )


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase       ):
       if lang not in self.cache_moses_detokenizer:
           A							:							List[Any]				=    self.sm.MosesDetokenizer(lang=_UpperCAmelCase       )
           A							:							Tuple				=    moses_detokenizer
       return self.cache_moses_detokenizer[lang].detokenize(_UpperCAmelCase       )


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase       ):
       A							:							List[Any]				=    replace_unicode_punct(_UpperCAmelCase       )
       A							:							Tuple				=    self.moses_punct_norm(_UpperCAmelCase     , _UpperCAmelCase       )
       A							:							str				=    remove_non_printing_char(_UpperCAmelCase       )
       return text


   @property
   def        snake_case					(			self       ):
       return len(self.encoder       )


   @property
   def        snake_case					(			self       ):
       return len(self.decoder       )


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


   def        snake_case					(			self       ):
       return dict(self.decoder     , **self.added_tokens_decoder       )


   def        snake_case					(			self     , _UpperCAmelCase       ):
       A							:							List[Any]				=    tuple(token[:-1]       ) + (token[-1] + '''</w>''',)
       if token in self.cache:
           return self.cache[token]
       A							:							Dict				=    get_pairs(_UpperCAmelCase       )

       if not pairs:
           return token + "</w>"

       while True:
           A							:							List[Any]				=    min(_UpperCAmelCase     , key=lambda _UpperCAmelCase       : self.bpe_ranks.get(_UpperCAmelCase     , float('''inf'''       )       )       )
           if bigram not in self.bpe_ranks:
               break
           A,						A							:							int				=    bigram
           A							:							List[Any]				=    []
           A							:							Dict				=    0
           while i < len(_UpperCAmelCase       ):
               try:
                   A							:							Union[str, Any]				=    word.index(_UpperCAmelCase     , _UpperCAmelCase       )
               except ValueError:
                   new_word.extend(word[i:]       )
                   break
               else:
                   new_word.extend(word[i:j]       )
                   A							:							Any				=    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							:							Dict				=    tuple(_UpperCAmelCase       )
           A							:							List[Any]				=    new_word
           if len(_UpperCAmelCase       ) == 1:
               break
           else:
               A							:							Union[str, Any]				=    get_pairs(_UpperCAmelCase       )
       A							:							Dict				=    ''' '''.join(_UpperCAmelCase       )
       if word == "\n  </w>":
           A							:							List[str]				=    '''\n</w>'''
       A							:							Tuple				=    word
       return word


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase="en"     , _UpperCAmelCase=False       ):
       A							:							Optional[Any]				=    self.src_lang

       if self.do_lower_case:
           A							:							Optional[int]				=    text.lower()

       if bypass_tokenizer:
           A							:							Union[str, Any]				=    text.split()
       else:
           A							:							List[Any]				=    self.moses_pipeline(_UpperCAmelCase     , lang=_UpperCAmelCase       )
           A							:							int				=    self.moses_tokenize(_UpperCAmelCase     , lang=_UpperCAmelCase       )

       A							:							List[str]				=    []
       for token in text:
           if token:
               split_tokens.extend(list(self.bpe(_UpperCAmelCase       ).split(''' '''       )       )       )

       return split_tokens


   def        snake_case					(			self     , _UpperCAmelCase       ):
       return self.encoder.get(_UpperCAmelCase     , self.encoder.get(self.unk_token       )       )


   def        snake_case					(			self     , _UpperCAmelCase       ):
       return self.decoder.get(_UpperCAmelCase     , self.unk_token       )


   def        snake_case					(			self     , _UpperCAmelCase       ):
       A							:							Optional[int]				=    [t.replace(''' '''     , ''''''       ).replace('''</w>'''     , ''' '''       ) for t in tokens]
       A							:							List[str]				=    ''''''.join(_UpperCAmelCase       ).split()
       # detokenize
       A							:							Optional[int]				=    self.moses_detokenize(_UpperCAmelCase     , self.tgt_lang       )
       return text


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase = None       ):
       A							:							List[Any]				=    [self.sep_token_id]

       # no bos used in fairseq
       if token_ids_a is None:
           return token_ids_a + sep
       return token_ids_a + sep + token_ids_a + sep


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase = None     , _UpperCAmelCase = False       ):

       if already_has_special_tokens:
           return super().get_special_tokens_mask(
               token_ids_a=_UpperCAmelCase     , token_ids_a=_UpperCAmelCase     , already_has_special_tokens=_UpperCAmelCase       )
       # no bos used in fairseq
       if token_ids_a is not None:
           return ([0] * len(_UpperCAmelCase       )) + [1] + ([0] * len(_UpperCAmelCase       )) + [1]
       return ([0] * len(_UpperCAmelCase       )) + [1]


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase = None       ):
       A							:							Tuple				=    [self.sep_token_id]

       # no bos used in fairseq
       if token_ids_a is None:
           return len(token_ids_a + sep       ) * [0]
       return len(token_ids_a + sep       ) * [0] + len(token_ids_a + sep       ) * [1]


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase = None       ):
       if not os.path.isdir(_UpperCAmelCase       ):
           logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''       )
           return

       A							:							Optional[int]				=    os.path.join(
           _UpperCAmelCase     , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''src_vocab_file''']       )
       A							:							Tuple				=    os.path.join(
           _UpperCAmelCase     , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''tgt_vocab_file''']       )
       A							:							Any				=    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'''       )

       with open(_UpperCAmelCase     , '''w'''     , encoding='''utf-8'''       ) as f:
           A							:							List[Any]				=    {v: k for k, v in self.decoder.items()}
           f.write(json.dumps(_UpperCAmelCase     , indent=2     , sort_keys=_UpperCAmelCase     , ensure_ascii=_UpperCAmelCase       ) + '''\n'''       )

       A							:							Optional[Any]				=    0
       with open(_UpperCAmelCase     , '''w'''     , encoding='''utf-8'''       ) as writer:
           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 {merges_file}: BPE merge indices are not consecutive.'''
                       ''' Please check that the tokenizer is not corrupted!'''       )
                   A							:							str				=    token_index
               writer.write(''' '''.join(_UpperCAmelCase       ) + '''\n'''       )
               index += 1

       return src_vocab_file, tgt_vocab_file, merges_file


   def __getstate__(			self       ):
       A							:							int				=    self.__dict__.copy()
       A							:							Optional[Any]				=    None
       return state


   def __setstate__(			self     , _UpperCAmelCase       ):
       A							:							str				=    d

       try:
           import sacremoses
       except ImportError:
           raise ImportError(
               '''You need to install sacremoses to use XLMTokenizer. '''
               '''See https://pypi.org/project/sacremoses/ for installation.'''       )

       A							:							List[str]				=    sacremoses







'''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


snake_case_     			=						logging.get_logger(__name__)

snake_case_     			=						{
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
}

snake_case_     			=						{
    """vocab_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/vocab.json""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/vocab.json""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/vocab.json""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"""
        ),
    },
    """merges_file""": {
        """roberta-base""": """https://huggingface.co/roberta-base/resolve/main/merges.txt""",
        """roberta-large""": """https://huggingface.co/roberta-large/resolve/main/merges.txt""",
        """roberta-large-mnli""": """https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt""",
        """distilroberta-base""": """https://huggingface.co/distilroberta-base/resolve/main/merges.txt""",
        """roberta-base-openai-detector""": """https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt""",
        """roberta-large-openai-detector""": (
            """https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"""
        ),
    },
}

snake_case_     			=						{
    """roberta-base""": 5_12,
    """roberta-large""": 5_12,
    """roberta-large-mnli""": 5_12,
    """distilroberta-base""": 5_12,
    """roberta-base-openai-detector""": 5_12,
    """roberta-large-openai-detector""": 5_12,
}
@lru_cache()
def 				_lowerCamelCase(	)		->	List[Any]:
    A							:							Tuple				=    (
        list(range(ord('''!'''		)     ,							ord('''~'''		) + 1		)		) + list(range(ord('''¡'''		)     ,							ord('''¬'''		) + 1		)		) + list(range(ord('''®'''		)     ,							ord('''ÿ'''		) + 1		)		)
    )
    A							:							List[Any]				=    bs[:]
    A							:							Tuple				=    0
    for b in range(2**8		):
        if b not in bs:
            bs.append(UpperCamelCase__		)
            cs.append(2**8 + n		)
            n += 1
    A							:							Optional[int]				=    [chr(UpperCamelCase__		) for n in cs]
    return dict(zip(UpperCamelCase__     ,							UpperCamelCase__		)		)
def 				_lowerCamelCase(	UpperCamelCase__     :			int		)		->	str:
    A							:							int				=    set()
    A							:							Any				=    word[0]
    for char in word[1:]:
        pairs.add((prev_char, char)		)
        A							:							Tuple				=    char
    return pairs





class 	_lowercase    (				a					):
   _UpperCamelCase									= VOCAB_FILES_NAMES
   _UpperCamelCase									= PRETRAINED_VOCAB_FILES_MAP
   _UpperCamelCase									= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _UpperCamelCase									= ["""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     , ):
       A							:							Any				=    AddedToken(_UpperCAmelCase     , lstrip=_UpperCAmelCase     , rstrip=_UpperCAmelCase       ) if isinstance(_UpperCAmelCase     , _UpperCAmelCase       ) else bos_token
       A							:							Optional[Any]				=    AddedToken(_UpperCAmelCase     , lstrip=_UpperCAmelCase     , rstrip=_UpperCAmelCase       ) if isinstance(_UpperCAmelCase     , _UpperCAmelCase       ) else eos_token
       A							:							Any				=    AddedToken(_UpperCAmelCase     , lstrip=_UpperCAmelCase     , rstrip=_UpperCAmelCase       ) if isinstance(_UpperCAmelCase     , _UpperCAmelCase       ) else sep_token
       A							:							List[Any]				=    AddedToken(_UpperCAmelCase     , lstrip=_UpperCAmelCase     , rstrip=_UpperCAmelCase       ) if isinstance(_UpperCAmelCase     , _UpperCAmelCase       ) else cls_token
       A							:							List[Any]				=    AddedToken(_UpperCAmelCase     , lstrip=_UpperCAmelCase     , rstrip=_UpperCAmelCase       ) if isinstance(_UpperCAmelCase     , _UpperCAmelCase       ) else unk_token
       A							:							List[Any]				=    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							:							Optional[int]				=    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							:							int				=    json.load(_UpperCAmelCase       )
       A							:							Union[str, Any]				=    {v: k for k, v in self.encoder.items()}
       A							:							Tuple				=    errors  # how to handle errors in decoding
       A							:							List[Any]				=    bytes_to_unicode()
       A							:							List[Any]				=    {v: k for k, v in self.byte_encoder.items()}
       with open(_UpperCAmelCase     , encoding='''utf-8'''       ) as merges_handle:
           A							:							Optional[int]				=    merges_handle.read().split('''\n'''       )[1:-1]
       A							:							int				=    [tuple(merge.split()       ) for merge in bpe_merges]
       A							:							Union[str, Any]				=    dict(zip(_UpperCAmelCase     , range(len(_UpperCAmelCase       )       )       )       )
       A							:							List[str]				=    {}
       A							:							List[Any]				=    add_prefix_space

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


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


   def        snake_case					(			self     , _UpperCAmelCase       ):
       if token in self.cache:
           return self.cache[token]
       A							:							Union[str, Any]				=    tuple(_UpperCAmelCase       )
       A							:							Tuple				=    get_pairs(_UpperCAmelCase       )

       if not pairs:
           return token

       while True:
           A							:							Any				=    min(_UpperCAmelCase     , key=lambda _UpperCAmelCase       : self.bpe_ranks.get(_UpperCAmelCase     , float('''inf'''       )       )       )
           if bigram not in self.bpe_ranks:
               break
           A,						A							:							Optional[int]				=    bigram
           A							:							str				=    []
           A							:							List[Any]				=    0
           while i < len(_UpperCAmelCase       ):
               try:
                   A							:							Any				=    word.index(_UpperCAmelCase     , _UpperCAmelCase       )
               except ValueError:
                   new_word.extend(word[i:]       )
                   break
               else:
                   new_word.extend(word[i:j]       )
                   A							:							Tuple				=    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							:							Optional[Any]				=    tuple(_UpperCAmelCase       )
           A							:							Dict				=    new_word
           if len(_UpperCAmelCase       ) == 1:
               break
           else:
               A							:							int				=    get_pairs(_UpperCAmelCase       )
       A							:							Union[str, Any]				=    ''' '''.join(_UpperCAmelCase       )
       A							:							Tuple				=    word
       return word


   def        snake_case					(			self     , _UpperCAmelCase       ):
       A							:							Tuple				=    []
       for token in re.findall(self.pat     , _UpperCAmelCase       ):
           A							:							Tuple				=    ''''''.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        snake_case					(			self     , _UpperCAmelCase       ):
       return self.encoder.get(_UpperCAmelCase     , self.encoder.get(self.unk_token       )       )


   def        snake_case					(			self     , _UpperCAmelCase       ):
       return self.decoder.get(_UpperCAmelCase       )


   def        snake_case					(			self     , _UpperCAmelCase       ):
       A							:							Any				=    ''''''.join(_UpperCAmelCase       )
       A							:							List[Any]				=    bytearray([self.byte_decoder[c] for c in text]       ).decode('''utf-8'''     , errors=self.errors       )
       return text


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase = None       ):
       if not os.path.isdir(_UpperCAmelCase       ):
           logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''       )
           return
       A							:							Any				=    os.path.join(
           _UpperCAmelCase     , (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']       )
       A							:							Any				=    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							:							Tuple				=    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							:							List[Any]				=    token_index
               writer.write(''' '''.join(_UpperCAmelCase       ) + '''\n'''       )
               index += 1

       return vocab_file, merge_file


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase = None       ):
       if token_ids_a is None:
           return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       A							:							Union[str, Any]				=    [self.cls_token_id]
       A							:							Dict				=    [self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep


   def        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase = None     , _UpperCAmelCase = False       ):
       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        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase = None       ):
       A							:							Dict				=    [self.sep_token_id]
       A							:							Union[str, Any]				=    [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        snake_case					(			self     , _UpperCAmelCase     , _UpperCAmelCase=False     , **_UpperCAmelCase       ):
       A							:							str				=    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							:							List[Any]				=    ''' ''' + text
       return (text, kwargs)
