"""simple docstring"""


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_:					Optional[Any]     =					logging.get_logger(__name__)

lowerCAmelCase_:					List[Any]     =					{"vocab_file": "spiece.model"}

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






class    a__    (   _a	):


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



        lowercase__				 =							AddedToken(_UpperCAmelCase,				lstrip=_UpperCAmelCase,				rstrip=_UpperCAmelCase  ) if isinstance(_UpperCAmelCase,				_UpperCAmelCase  ) else mask_token

        lowercase__				 =							{} 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,				)

        lowercase__				 =							3

        lowercase__				 =							do_lower_case
        lowercase__				 =							remove_space
        lowercase__				 =							keep_accents
        lowercase__				 =							vocab_file

        lowercase__				 =							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."  )
        lowercase__				 =							jieba
        lowercase__				 =							str.maketrans(" \n",				"\u2582\u2583"  )


   @property
   # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
   def 	snake_case__	(     self  ):
        '''simple docstring'''



        return len(self.sp_model  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							{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  ):
        '''simple docstring'''



        lowercase__				 =							self.__dict__.copy()
        lowercase__				 =							None
        return state


   def __setstate__(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							d

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

        lowercase__				 =							spm.SentencePieceProcessor(**self.sp_model_kwargs  )
        self.sp_model.Load(self.vocab_file  )


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



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

        if not self.keep_accents:
             lowercase__				 =							unicodedata.normalize("NFKD",				_UpperCAmelCase  )
             lowercase__				 =							"".join([c for c in outputs if not unicodedata.combining(_UpperCAmelCase  )]  )
        if self.do_lower_case:
             lowercase__				 =							outputs.lower()

        return outputs


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							self.preprocess_text(_UpperCAmelCase  )
        lowercase__				 =							self.sp_model.encode(_UpperCAmelCase,				out_type=_UpperCAmelCase  )
        lowercase__				 =							[]
        for piece in pieces:
             if len(_UpperCAmelCase  ) > 1 and piece[-1] == str(","  ) and piece[-2].isdigit():
                  lowercase__				 =							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:
                            lowercase__				 =							cur_pieces[1:]
                       else:
                            lowercase__				 =							cur_pieces[0][1:]
                  cur_pieces.append(piece[-1]  )
                  new_pieces.extend(_UpperCAmelCase  )
             else:
                  new_pieces.append(_UpperCAmelCase  )

        return new_pieces


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        return self.sp_model.PieceToId(_UpperCAmelCase  )


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        return self.sp_model.IdToPiece(_UpperCAmelCase  )


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							"".join(_UpperCAmelCase  ).replace(_UpperCAmelCase,				" "  ).strip()
        return out_string


   def 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase = None  ):
        '''simple docstring'''



        lowercase__				 =							[self.sep_token_id]
        lowercase__				 =							[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 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase = None,				_UpperCAmelCase = False  ):
        '''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 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase = None  ):
        '''simple docstring'''



        lowercase__				 =							[self.sep_token_id]
        lowercase__				 =							[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 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase = None  ):
        '''simple docstring'''



        if not os.path.isdir(_UpperCAmelCase  ):
             logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''  )
             return
        lowercase__				 =							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:
                  lowercase__				 =							self.sp_model.serialized_model_proto()
                  fi.write(_UpperCAmelCase  )

        return (out_vocab_file,)


   def 	snake_case__	(     self,				*_UpperCAmelCase,				**_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							super()._decode(*_UpperCAmelCase,				**_UpperCAmelCase  )
        lowercase__				 =							text.replace(" ",				""  ).replace("\u2582",				" "  ).replace("\u2583",				"\n"  )
        return text





"""simple docstring"""


from __future__ import annotations







def 					__a   (		A    ,				A      ):






     '''simple docstring'''



     if partitions <= 0:
          raise ValueError("partitions must be a positive number!"      )
     if partitions > number_of_bytes:
          raise ValueError("partitions can not > number_of_bytes!"      )
     lowercase__				 =							number_of_bytes // partitions
     lowercase__				 =							[]
     for i in range(A      ):
          lowercase__				 =							i * bytes_per_partition + 1
          lowercase__				 =							(
              number_of_bytes if i == partitions - 1 else (i + 1) * bytes_per_partition
          )
          allocation_list.append(f'''{start_bytes}-{end_bytes}'''      )
     return allocation_list


if __name__ == "__main__":
 import doctest

 doctest.testmod()




