

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

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


_SCREAMING_SNAKE_CASE							 =			logging.get_logger(__name__)

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

_SCREAMING_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'''},
}

_SCREAMING_SNAKE_CASE							 =			{'''stas/tiny-wmt19-en-de''': 1_0_2_4}
_SCREAMING_SNAKE_CASE							 =			{
    '''stas/tiny-wmt19-en-de''': {
        '''langs''': ['''en''', '''de'''],
        '''model_max_length''': 1_0_2_4,
        '''special_tokens_map_file''': None,
        '''full_tokenizer_file''': None,
    }
}





def  _snake_case		(snake_case_					:     Optional[Any]  )							->		Any:
  __UpperCAmelCase	:  Optional[int]		=     set()
  __UpperCAmelCase	:  Any		=     word[0]
  for char in word[1:]:
    pairs.add((prev_char, char)  )
    __UpperCAmelCase	:  Optional[Any]		=     char
  return pairs





def  _snake_case		(snake_case_					:     List[Any]  )							->		Optional[int]:
  __UpperCAmelCase	:  Any		=     text.replace('，'    ,       ','  )
  __UpperCAmelCase	:  Optional[Any]		=     re.sub(R'。\s*'    ,       '. '    ,       snake_case_  )
  __UpperCAmelCase	:  str		=     text.replace('、'    ,       ','  )
  __UpperCAmelCase	:  int		=     text.replace('”'    ,       '"'  )
  __UpperCAmelCase	:  List[Any]		=     text.replace('“'    ,       '"'  )
  __UpperCAmelCase	:  Optional[int]		=     text.replace('∶'    ,       ':'  )
  __UpperCAmelCase	:  Dict		=     text.replace('：'    ,       ':'  )
  __UpperCAmelCase	:  Tuple		=     text.replace('？'    ,       '?'  )
  __UpperCAmelCase	:  Union[str, Any]		=     text.replace('《'    ,       '"'  )
  __UpperCAmelCase	:  Optional[Any]		=     text.replace('》'    ,       '"'  )
  __UpperCAmelCase	:  int		=     text.replace('）'    ,       ')'  )
  __UpperCAmelCase	:  Union[str, Any]		=     text.replace('！'    ,       '!'  )
  __UpperCAmelCase	:  Optional[int]		=     text.replace('（'    ,       '('  )
  __UpperCAmelCase	:  Union[str, Any]		=     text.replace('；'    ,       ';'  )
  __UpperCAmelCase	:  List[Any]		=     text.replace('１'    ,       '1'  )
  __UpperCAmelCase	:  List[str]		=     text.replace('」'    ,       '"'  )
  __UpperCAmelCase	:  Optional[int]		=     text.replace('「'    ,       '"'  )
  __UpperCAmelCase	:  Optional[Any]		=     text.replace('０'    ,       '0'  )
  __UpperCAmelCase	:  Optional[int]		=     text.replace('３'    ,       '3'  )
  __UpperCAmelCase	:  Dict		=     text.replace('２'    ,       '2'  )
  __UpperCAmelCase	:  Any		=     text.replace('５'    ,       '5'  )
  __UpperCAmelCase	:  List[Any]		=     text.replace('６'    ,       '6'  )
  __UpperCAmelCase	:  Any		=     text.replace('９'    ,       '9'  )
  __UpperCAmelCase	:  Any		=     text.replace('７'    ,       '7'  )
  __UpperCAmelCase	:  Optional[int]		=     text.replace('８'    ,       '8'  )
  __UpperCAmelCase	:  Any		=     text.replace('４'    ,       '4'  )
  __UpperCAmelCase	:  List[str]		=     re.sub(R'．\s*'    ,       '. '    ,       snake_case_  )
  __UpperCAmelCase	:  Any		=     text.replace('～'    ,       '~'  )
  __UpperCAmelCase	:  Dict		=     text.replace('’'    ,       '\''  )
  __UpperCAmelCase	:  Dict		=     text.replace('…'    ,       '...'  )
  __UpperCAmelCase	:  Dict		=     text.replace('━'    ,       '-'  )
  __UpperCAmelCase	:  List[Any]		=     text.replace('〈'    ,       '<'  )
  __UpperCAmelCase	:  Dict		=     text.replace('〉'    ,       '>'  )
  __UpperCAmelCase	:  Tuple		=     text.replace('【'    ,       '['  )
  __UpperCAmelCase	:  List[Any]		=     text.replace('】'    ,       ']'  )
  __UpperCAmelCase	:  int		=     text.replace('％'    ,       '%'  )
  return text





def  _snake_case		(snake_case_					:     List[str]  )							->		Dict:
  __UpperCAmelCase	:  Any		=     []
  for char in text:
    __UpperCAmelCase	:  List[Any]		=     unicodedata.category(snake_case_  )
    if cat.startswith('C'  ):
      continue
    output.append(snake_case_  )
  return "".join(snake_case_  )







class      lowerCamelCase_ (			_lowerCAmelCase):
 _lowerCAmelCase									=	VOCAB_FILES_NAMES
 _lowerCAmelCase									=	PRETRAINED_VOCAB_FILES_MAP
 _lowerCAmelCase									=	PRETRAINED_INIT_CONFIGURATION
 _lowerCAmelCase									=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 _lowerCAmelCase									=	['''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.'							)

   __UpperCAmelCase	:  int		=     sacremoses

   __UpperCAmelCase	:  Tuple		=     src_vocab_file
   __UpperCAmelCase	:  List[Any]		=     tgt_vocab_file
   __UpperCAmelCase	:  List[Any]		=     merges_file
   __UpperCAmelCase	:  List[str]		=     do_lower_case

   # cache of sm.MosesPunctNormalizer instance
   __UpperCAmelCase	:  Optional[int]		=     {}
   # cache of sm.MosesTokenizer instance
   __UpperCAmelCase	:  int		=     {}
   __UpperCAmelCase	:  int		=     {}

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




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




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




 def     a       (			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase							):
   if lang not in self.cache_moses_punct_normalizer:
     __UpperCAmelCase	:  Union[str, Any]		=     self.sm.MosesPunctNormalizer(lang=_UpperCAmelCase							)
     __UpperCAmelCase	:  str		=     punct_normalizer
   return self.cache_moses_punct_normalizer[lang].normalize(_UpperCAmelCase							)




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




 def     a       (			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase							):
   if lang not in self.cache_moses_detokenizer:
     __UpperCAmelCase	:  Union[str, Any]		=     self.sm.MosesDetokenizer(lang=_UpperCAmelCase							)
     __UpperCAmelCase	:  Tuple		=     moses_detokenizer
   return self.cache_moses_detokenizer[lang].detokenize(_UpperCAmelCase							)




 def     a       (			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase							):
   __UpperCAmelCase	:  int		=     replace_unicode_punct(_UpperCAmelCase							)
   __UpperCAmelCase	:  Optional[Any]		=     self.moses_punct_norm(_UpperCAmelCase  ,  _UpperCAmelCase							)
   __UpperCAmelCase	:  List[str]		=     remove_non_printing_char(_UpperCAmelCase							)
   return text




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




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




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




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




 def     a       (			self  ,  _UpperCAmelCase							):
   __UpperCAmelCase	:  int		=     tuple(token[:-1]							) + (token[-1] + '</w>',)
   if token in self.cache:
     return self.cache[token]
   __UpperCAmelCase	:  Union[str, Any]		=     get_pairs(_UpperCAmelCase							)

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

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




 def     a       (			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase="en"  ,  _UpperCAmelCase=False							):
   __UpperCAmelCase	:  Union[str, Any]		=     self.src_lang

   if self.do_lower_case:
     __UpperCAmelCase	:  List[Any]		=     text.lower()

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

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

   return split_tokens




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




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




 def     a       (			self  ,  _UpperCAmelCase							):
   __UpperCAmelCase	:  str		=     [t.replace(' '  ,  ''							).replace('</w>'  ,  ' '							) for t in tokens]
   __UpperCAmelCase	:  Dict		=     ''.join(_UpperCAmelCase							).split()
   # detokenize
   __UpperCAmelCase	:  Union[str, Any]		=     self.moses_detokenize(_UpperCAmelCase  ,  self.tgt_lang							)
   return text




 def     a       (			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase = None							):
   __UpperCAmelCase	:  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     a       (			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     a       (			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase = None							):
   __UpperCAmelCase	:  Any		=     [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     a       (			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase = None							):
   if not os.path.isdir(_UpperCAmelCase							):
     logger.error(F"Vocabulary path ({save_directory}) should be a directory"							)
     return

   __UpperCAmelCase	:  Tuple		=     os.path.join(
       _UpperCAmelCase  ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['src_vocab_file']							)
   __UpperCAmelCase	:  List[Any]		=     os.path.join(
       _UpperCAmelCase  ,  (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['tgt_vocab_file']							)
   __UpperCAmelCase	:  int		=     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:
     __UpperCAmelCase	:  Optional[Any]		=     {v: k for k, v in self.decoder.items()}
     f.write(json.dumps(_UpperCAmelCase  ,  indent=2  ,  sort_keys=_UpperCAmelCase  ,  ensure_ascii=_UpperCAmelCase							) + '\n'							)

   __UpperCAmelCase	:  Optional[int]		=     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!'							)
         __UpperCAmelCase	:  Any		=     token_index
       writer.write(' '.join(_UpperCAmelCase							) + '\n'							)
       index += 1

   return src_vocab_file, tgt_vocab_file, merges_file




 def __getstate__(			self							):
   __UpperCAmelCase	:  Dict		=     self.__dict__.copy()
   __UpperCAmelCase	:  int		=     None
   return state




 def __setstate__(			self  ,  _UpperCAmelCase							):
   __UpperCAmelCase	:  Tuple		=     d

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

   __UpperCAmelCase	:  Dict		=     sacremoses












"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging


a__       :  List[Any]       		=					logging.get_logger(__name__)

a__       :  int       		=					{
    """microsoft/mpnet-base""": """https://huggingface.co/microsoft/mpnet-base/resolve/main/config.json""",
}



class   lowercase_					(  __lowerCAmelCase				):
       snake_case__					:				int									=  """mpnet"""

       def __init__(      self ,       __SCREAMING_SNAKE_CASE=3_0527 ,       __SCREAMING_SNAKE_CASE=768 ,       __SCREAMING_SNAKE_CASE=12 ,       __SCREAMING_SNAKE_CASE=12 ,       __SCREAMING_SNAKE_CASE=3072 ,       __SCREAMING_SNAKE_CASE="gelu" ,       __SCREAMING_SNAKE_CASE=0.1 ,       __SCREAMING_SNAKE_CASE=0.1 ,       __SCREAMING_SNAKE_CASE=512 ,       __SCREAMING_SNAKE_CASE=0.02 ,       __SCREAMING_SNAKE_CASE=1e-12 ,       __SCREAMING_SNAKE_CASE=32 ,       __SCREAMING_SNAKE_CASE=1 ,       __SCREAMING_SNAKE_CASE=0 ,       __SCREAMING_SNAKE_CASE=2 ,       **__SCREAMING_SNAKE_CASE ,       ):






        '''simple docstring'''

        super().__init__(pad_token_id=__SCREAMING_SNAKE_CASE ,       bos_token_id=__SCREAMING_SNAKE_CASE ,       eos_token_id=__SCREAMING_SNAKE_CASE ,       **__SCREAMING_SNAKE_CASE  )

        snake_case__     				=					vocab_size
        snake_case__     				=					hidden_size
        snake_case__     				=					num_hidden_layers
        snake_case__     				=					num_attention_heads
        snake_case__     				=					hidden_act
        snake_case__     				=					intermediate_size
        snake_case__     				=					hidden_dropout_prob
        snake_case__     				=					attention_probs_dropout_prob
        snake_case__     				=					max_position_embeddings
        snake_case__     				=					initializer_range
        snake_case__     				=					layer_norm_eps
        snake_case__     				=					relative_attention_num_buckets

