



import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging


__lowerCamelCase						=       logging.get_logger(__name__)

__lowerCamelCase						=       {"""vocab_file""": """spiece.model"""}

__lowerCamelCase						=       {
    """vocab_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model""",
    }
}



class 		_snake_case   (      lowerCamelCase					):





 """simple docstring"""



 def __init__(    self						,     a						,     a=False						,     a=True						,     a=False						,     a="<s>"						,     a="</s>"						,     a="<unk>"						,     a="<sep>"						,     a="<pad>"						,     a="<cls>"						,     a="<mask>"						,     a=["<eop>", "<eod>"]						,     a = None						,     **a						,     )						->				None:




   """simple docstring"""







   _A							     =     AddedToken(_UpperCamelCase						,     lstrip=_UpperCamelCase						,     rstrip=_UpperCamelCase       ) if isinstance(_UpperCamelCase						,     _UpperCamelCase       ) else mask_token

   _A							     =     {} if sp_model_kwargs is None else sp_model_kwargs

   super().__init__(
       do_lower_case=_UpperCamelCase						,     remove_space=_UpperCamelCase						,     keep_accents=_UpperCamelCase						,     bos_token=_UpperCamelCase						,     eos_token=_UpperCamelCase						,     unk_token=_UpperCamelCase						,     sep_token=_UpperCamelCase						,     pad_token=_UpperCamelCase						,     cls_token=_UpperCamelCase						,     mask_token=_UpperCamelCase						,     additional_special_tokens=_UpperCamelCase						,     sp_model_kwargs=self.sp_model_kwargs						,     **_UpperCamelCase						,     )

   _A							     =     3

   _A							     =     do_lower_case
   _A							     =     remove_space
   _A							     =     keep_accents
   _A							     =     vocab_file

   _A							     =     spm.SentencePieceProcessor(**self.sp_model_kwargs       )
   self.sp_model.Load(_UpperCamelCase       )

   try:
     import jieba
   except ModuleNotFoundError as error:
     raise error.__class__(
         '''You need to install jieba to use CpmTokenizer or CpmTokenizerFast. '''
         '''See https://pypi.org/project/jieba/ for installation.'''       )
   _A							     =     jieba
   _A							     =     str.maketrans(''' \n'''						,     '''\u2582\u2583'''       )
 @property
 # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
 def lowercase_		(    self       )						->				Optional[int]:




   """simple docstring"""







   return len(self.sp_model       )
 def lowercase_		(    self       )						->				List[str]:




   """simple docstring"""







   _A							     =     {self.convert_ids_to_tokens(_UpperCamelCase       ): i for i in range(self.vocab_size       )}
   vocab.update(self.added_tokens_encoder       )
   return vocab
 def __getstate__(    self       )						->				Any:




   """simple docstring"""







   _A							     =     self.__dict__.copy()
   _A							     =     None
   return state
 def __setstate__(    self						,     a       )						->				List[Any]:




   """simple docstring"""







   _A							     =     d

   # for backward compatibility
   if not hasattr(self						,     '''sp_model_kwargs'''       ):
     _A							     =     {}

   _A							     =     spm.SentencePieceProcessor(**self.sp_model_kwargs       )
   self.sp_model.Load(self.vocab_file       )
 def lowercase_		(    self						,     a       )						->				str:




   """simple docstring"""







   if self.remove_space:
     _A							     =     ''' '''.join(inputs.strip().split()       )
   else:
     _A							     =     inputs
   _A							     =     outputs.replace('''``'''						,     '''"'''       ).replace('''\'\''''						,     '''"'''       )

   if not self.keep_accents:
     _A							     =     unicodedata.normalize('''NFKD'''						,     _UpperCamelCase       )
     _A							     =     ''''''.join([c for c in outputs if not unicodedata.combining(_UpperCamelCase       )]       )
   if self.do_lower_case:
     _A							     =     outputs.lower()

   return outputs
 def lowercase_		(    self						,     a       )						->				List[str]:




   """simple docstring"""







   _A							     =     self.preprocess_text(_UpperCamelCase       )
   _A							     =     self.sp_model.encode(_UpperCamelCase						,     out_type=_UpperCamelCase       )
   _A							     =     []
   for piece in pieces:
     if len(_UpperCamelCase       ) > 1 and piece[-1] == str(''','''       ) and piece[-2].isdigit():
       _A							     =     self.sp_model.EncodeAsPieces(piece[:-1].replace(_UpperCamelCase						,     ''''''       )       )
       if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
         if len(cur_pieces[0]       ) == 1:
           _A							     =     cur_pieces[1:]
         else:
           _A							     =     cur_pieces[0][1:]
       cur_pieces.append(piece[-1]       )
       new_pieces.extend(_UpperCamelCase       )
     else:
       new_pieces.append(_UpperCamelCase       )

   return new_pieces
 def lowercase_		(    self						,     a       )						->				Union[str, Any]:




   """simple docstring"""







   return self.sp_model.PieceToId(_UpperCamelCase       )
 def lowercase_		(    self						,     a       )						->				Dict:




   """simple docstring"""







   return self.sp_model.IdToPiece(_UpperCamelCase       )
 def lowercase_		(    self						,     a       )						->				int:




   """simple docstring"""







   _A							     =     ''''''.join(_UpperCamelCase       ).replace(_UpperCamelCase						,     ''' '''       ).strip()
   return out_string
 def lowercase_		(    self						,     a						,     a = None       )						->				List[int]:




   """simple docstring"""







   _A							     =     [self.sep_token_id]
   _A							     =     [self.cls_token_id]
   if token_ids_a is None:
     return token_ids_a + sep + cls
   return token_ids_a + sep + token_ids_a + sep + cls
 def lowercase_		(    self						,     a						,     a = None						,     a = False       )						->				List[int]:




   """simple docstring"""







   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 not None:
     return ([0] * len(_UpperCamelCase       )) + [1] + ([0] * len(_UpperCamelCase       )) + [1, 1]
   return ([0] * len(_UpperCamelCase       )) + [1, 1]
 def lowercase_		(    self						,     a						,     a = None       )						->				List[int]:




   """simple docstring"""







   _A							     =     [self.sep_token_id]
   _A							     =     [2]

   if token_ids_a is None:
     return len(token_ids_a + sep       ) * [0] + cls_segment_id
   return len(token_ids_a + sep       ) * [0] + len(token_ids_a + sep       ) * [1] + cls_segment_id
 def lowercase_		(    self						,     a						,     a = None       )						->				Tuple[str]:




   """simple docstring"""







   if not os.path.isdir(_UpperCamelCase       ):
     logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''       )
     return
   _A							     =     os.path.join(
       _UpperCamelCase						,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']       )

   if os.path.abspath(self.vocab_file       ) != os.path.abspath(_UpperCamelCase       ) and os.path.isfile(self.vocab_file       ):
     copyfile(self.vocab_file						,     _UpperCamelCase       )
   elif not os.path.isfile(self.vocab_file       ):
     with open(_UpperCamelCase						,     '''wb'''       ) as fi:
       _A							     =     self.sp_model.serialized_model_proto()
       fi.write(_UpperCamelCase       )

   return (out_vocab_file,)



 def lowercase_		(    self						,     *a						,     **a       )						->				Tuple:




   """simple docstring"""







   _A							     =     super()._decode(*_UpperCamelCase						,     **_UpperCamelCase       )
   _A							     =     text.replace(''' '''						,     ''''''       ).replace('''\u2582'''						,     ''' '''       ).replace('''\u2583'''						,     '''\n'''       )
   return text



'''simple docstring'''
class        lowerCAmelCase_  :






       def __init__( self			,     _UpperCamelCase   )->      None:
            _A				=							size
            _A				=							[0] * size
            _A				=							[0] * size






       @staticmethod
       def   UpperCamelCase						( _UpperCamelCase   )->      int:
            return index | (index + 1)






       @staticmethod
       def   UpperCamelCase						( _UpperCamelCase   )->      int:
            return (index & (index + 1)) - 1






       def   UpperCamelCase						( self			,     _UpperCamelCase			,     _UpperCamelCase   )->      None:
            _A				=							value
            while index < self.size:
                 _A				=							self.get_prev(_UpperCamelCase   ) + 1
                 if current_left_border == index:
                      _A				=							value
                 else:
                      _A				=							max(_UpperCamelCase			,     _UpperCamelCase			,     _UpperCamelCase   )
                 _A				=							self.get_next(_UpperCamelCase   )






       def   UpperCamelCase						( self			,     _UpperCamelCase			,     _UpperCamelCase   )->      int:
            right -= 1  # Because of right is exclusive
            _A				=							0
            while left <= right:
                 _A				=							self.get_prev(_UpperCamelCase   )
                 if left <= current_left:
                      _A				=							max(_UpperCamelCase			,     self.tree[right]   )
                      _A				=							current_left
                 else:
                      _A				=							max(_UpperCamelCase			,     self.arr[right]   )
                      right -= 1
            return result


if __name__ == "__main__":
    import doctest

    doctest.testmod()





