
'''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


A__ :		Optional[int]					=logging.get_logger(__name__)

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

A__ :		Tuple					={
    '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 			__A					(			_SCREAMING_SNAKE_CASE      ):
 def __init__( self      :     Optional[Any]					, lowerCamelCase      :     Optional[int]=None					, lowerCamelCase      :     List[Any]=None					, lowerCamelCase      :     Optional[int]=False					, lowerCamelCase      :     Dict=True					, lowerCamelCase      :     Union[str, Any]=False					, lowerCamelCase      :     int="<s>"					, lowerCamelCase      :     Tuple="</s>"					, lowerCamelCase      :     Any="<unk>"					, lowerCamelCase      :     Dict="<sep>"					, lowerCamelCase      :     str="<pad>"					, lowerCamelCase      :     Union[str, Any]="<cls>"					, lowerCamelCase      :     Optional[int]="<mask>"					, lowerCamelCase      :     List[str]=["<eop>", "<eod>"]					, **lowerCamelCase      :     Optional[Any]					, ):



   """simple docstring"""





   __A		:  str       				=		AddedToken(a__					, lstrip=a__					, rstrip=a__							) if isinstance(a__					, a__							) else mask_token

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

   __A		:  str       				=		3
   __A		:  List[Any]       				=		do_lower_case
   __A		:  List[Any]       				=		remove_space
   __A		:  List[Any]       				=		keep_accents
   __A		:  Tuple       				=		vocab_file
   __A		:  Union[str, 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."""							)
   __A		:  List[Any]       				=		jieba
   __A		:  List[Any]       				=		str.maketrans(""" \n"""					, """\u2582\u2583"""							)
 def 		lowercase_( self      :     str					, lowerCamelCase      :     List[str]					, lowerCamelCase      :     List[str] = None							):



   """simple docstring"""





   __A		:  Dict       				=		[self.sep_token_id]
   __A		:  Union[str, 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 		lowercase_( self      :     Dict					, lowerCamelCase      :     int					, lowerCamelCase      :     List[str] = None							):



   """simple docstring"""





   __A		:  Optional[int]       				=		[self.sep_token_id]
   __A		:  int       				=		[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      :     Optional[int]					, lowerCamelCase      :     List[Any]					, lowerCamelCase      :     Any = 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(a__							):
     logger.error(f"Vocabulary path ({save_directory}) should be a directory"							)
     return
   __A		:  Dict       				=		os.path.join(
       a__					, (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)

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

   return (out_vocab_file,)
 def 		lowercase_( self      :     Tuple					, lowerCamelCase      :     int					, *lowerCamelCase      :     List[Any]					, **lowerCamelCase      :     List[Any]							):



   """simple docstring"""





   __A		:  Optional[int]       				=		[
       ''' '''.join([x.translate(self.translator							) for x in self.jieba.cut(a__					, cut_all=a__							)]							)
       for text in batch_text_or_text_pairs
   ]
   return super()._batch_encode_plus(a__					, *a__					, **a__							)






 def 		lowercase_( self      :     Tuple					, *lowerCamelCase      :     List[str]					, **lowerCamelCase      :     Optional[Any]							):



   """simple docstring"""





   __A		:  int       				=		super()._decode(*a__					, **a__							)
   __A		:  int       				=		text.replace(""" """					, """"""							).replace("""\u2582"""					, """ """							).replace("""\u2583"""					, """\n"""							)
   return text







a					:				Tuple       =      [0.4_85, 0.4_56, 0.4_06]
a					:				Optional[int]       =      [0.2_29, 0.2_24, 0.2_25]
a					:				List[Any]       =      [0.5, 0.5, 0.5]
a					:				Tuple       =      [0.5, 0.5, 0.5]
a					:				Optional[Any]       =      [0.48_14_54_66, 0.4_57_82_75, 0.40_82_10_73]
a					:				int       =      [0.26_86_29_54, 0.26_13_02_58, 0.27_57_77_11]






