

'''simple docstring'''






from typing import List

from tokenizers import NormalizedString, PreTokenizedString, normalizers
class      SCREAMING_SNAKE_CASE__      :




    def __init__( self    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      List[str]					=	vocab
          SCREAMING_SNAKE_CASE_				:      str					=	normalizers.BertNormalizer(
              clean_text=lowercase__    ,					handle_chinese_chars=lowercase__    ,					strip_accents=lowercase__    ,					lowercase=lowercase__    ,					)
          try:
                import rjieba
          except ImportError:
                raise ImportError(
                    "You need to install rjieba to use RoFormerTokenizer. "
                    "See https://pypi.org/project/rjieba/ for installation."      )
          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	rjieba




    def   __lowerCamelCase				( self    ,					lowercase__    ,					lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Dict					=	[]

          # this code slice normalized_string is too slow (6s) but test_alignement_methods can pass
          for token, start, end in self.jieba.tokenize(str(lowercase__      )    ,					hmm=lowercase__      ):
                if token in self.vocab:
                      splits.append(normalized_string[start:end]      )
                else:
                      SCREAMING_SNAKE_CASE_				:      Any					=	self.normalizers.normalize_str(lowercase__      ).split()
                      for token in token_list:
                            if token:
                                  SCREAMING_SNAKE_CASE_				:      Optional[int]					=	start + len(lowercase__      )
                                  splits.append(normalized_string[start:end]      )
                                  SCREAMING_SNAKE_CASE_				:      List[Any]					=	end

        # this code test_alignement_methods can't pass but fast (300ms)
        # for token in self.jieba.cut(str(normalized_string), False):
        #     if token in self.vocab:
        #         splits.append(NormalizedString(token))
        #     else:
        #         token_list = self.normalizers.normalize_str(token).split()
        #         for token in token_list:
        #             if token:
        #                 splits.append(NormalizedString(token))

          return splits







    def   __lowerCamelCase				( self    ,					lowercase__      ):






          """simple docstring"""






          pretok.split(self.jieba_split      )




'''simple docstring'''






import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


snake_case_					  =	logging.get_logger(__name__)

snake_case_					  =	{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

snake_case_					  =	{
    'vocab_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model',
    },
    'tokenizer_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json',
    },
}
class      SCREAMING_SNAKE_CASE__      (    _UpperCAmelCase				):




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






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Tuple					=	AddedToken(lowercase__    ,					lstrip=lowercase__    ,					rstrip=lowercase__      ) if isinstance(lowercase__    ,					lowercase__      ) else mask_token

          super().__init__(
              vocab_file=lowercase__    ,					tokenizer_file=lowercase__    ,					do_lower_case=lowercase__    ,					remove_space=lowercase__    ,					keep_accents=lowercase__    ,					bos_token=lowercase__    ,					eos_token=lowercase__    ,					unk_token=lowercase__    ,					sep_token=lowercase__    ,					pad_token=lowercase__    ,					cls_token=lowercase__    ,					mask_token=lowercase__    ,					additional_special_tokens=lowercase__    ,					**lowercase__    ,					)

          SCREAMING_SNAKE_CASE_				:      List[str]					=	3
          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	do_lower_case
          SCREAMING_SNAKE_CASE_				:      Optional[int]					=	remove_space
          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	keep_accents
          SCREAMING_SNAKE_CASE_				:      List[str]					=	vocab_file
          SCREAMING_SNAKE_CASE_				:      List[Any]					=	False if not self.vocab_file else True

          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."      )
          SCREAMING_SNAKE_CASE_				:      Dict					=	jieba
          SCREAMING_SNAKE_CASE_				:      Optional[Any]					=	str.maketrans(" \n"    ,					"\u2582\u2583"      )




    def   __lowerCamelCase				( self    ,					lowercase__    ,					lowercase__ = None      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Union[str, Any]					=	[self.sep_token_id]
          SCREAMING_SNAKE_CASE_				:      List[Any]					=	[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   __lowerCamelCase				( self    ,					lowercase__    ,					lowercase__ = None      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      List[Any]					=	[self.sep_token_id]
          SCREAMING_SNAKE_CASE_				:      Dict					=	[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   __lowerCamelCase				( self    ,					lowercase__    ,					lowercase__ = None      ):






          """simple docstring"""






          if not self.can_save_slow_tokenizer:
                raise ValueError(
                    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
                    "tokenizer."      )

          if not os.path.isdir(lowercase__      ):
                logger.error(F"Vocabulary path ({save_directory}) should be a directory"      )
                return
          SCREAMING_SNAKE_CASE_				:      str					=	os.path.join(
              lowercase__    ,					(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]      )

          if os.path.abspath(self.vocab_file      ) != os.path.abspath(lowercase__      ):
                copyfile(self.vocab_file    ,					lowercase__      )

          return (out_vocab_file,)




    def   __lowerCamelCase				( self    ,					lowercase__    ,					*lowercase__    ,					**lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      int					=	[
              " ".join([x.translate(self.translator      ) for x in self.jieba.cut(lowercase__    ,					cut_all=lowercase__      )]      )
              for text in batch_text_or_text_pairs
          ]
          return super()._batch_encode_plus(lowercase__    ,					*lowercase__    ,					**lowercase__      )







    def   __lowerCamelCase				( self    ,					*lowercase__    ,					**lowercase__      ):






          """simple docstring"""






          SCREAMING_SNAKE_CASE_				:      Dict					=	super()._decode(*lowercase__    ,					**lowercase__      )
          SCREAMING_SNAKE_CASE_				:      str					=	text.replace(" "    ,					""      ).replace("\u2582"    ,					" "      ).replace("\u2583"    ,					"\n"      )
          return text

