




'''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


a_      :		str							      =       logging.get_logger(__name__)

a_      :		int							      =       {"""vocab_file""": """spiece.model"""}

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


class   __UpperCamelCase       ( lowerCamelCase__				):






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



              """simple docstring"""







              lowerCamelCase_							=AddedToken(lowerCAmelCase,		lstrip=lowerCAmelCase,		rstrip=lowerCAmelCase  ) if isinstance(lowerCAmelCase,		lowerCAmelCase  ) else mask_token

              lowerCamelCase_							={} if sp_model_kwargs is None else sp_model_kwargs

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

              lowerCamelCase_							=3

              lowerCamelCase_							=do_lower_case
              lowerCamelCase_							=remove_space
              lowerCamelCase_							=keep_accents
              lowerCamelCase_							=vocab_file

              lowerCamelCase_							=spm.SentencePieceProcessor(**self.sp_model_kwargs  )
              self.sp_model.Load(lowerCAmelCase  )

              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.'''  )
              lowerCamelCase_							=jieba
              lowerCamelCase_							=str.maketrans(''' \n''',		'''\u2582\u2583'''  )






       @property
       # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
       def      lowercase__     (							self  ):



              """simple docstring"""







              return len(self.sp_model  )






       def      lowercase__     (							self  ):



              """simple docstring"""







              lowerCamelCase_							={self.convert_ids_to_tokens(lowerCAmelCase  ): i for i in range(self.vocab_size  )}
              vocab.update(self.added_tokens_encoder  )
              return vocab






       def __getstate__(							self  ):



              """simple docstring"""







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






       def __setstate__(							self,		lowerCAmelCase  ):



              """simple docstring"""







              lowerCamelCase_							=d

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

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






       def      lowercase__     (							self,		lowerCAmelCase  ):



              """simple docstring"""







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

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

              return outputs






       def      lowercase__     (							self,		lowerCAmelCase  ):



              """simple docstring"""







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

              return new_pieces






       def      lowercase__     (							self,		lowerCAmelCase  ):



              """simple docstring"""







              return self.sp_model.PieceToId(lowerCAmelCase  )






       def      lowercase__     (							self,		lowerCAmelCase  ):



              """simple docstring"""







              return self.sp_model.IdToPiece(lowerCAmelCase  )






       def      lowercase__     (							self,		lowerCAmelCase  ):



              """simple docstring"""







              lowerCamelCase_							=''''''.join(lowerCAmelCase  ).replace(lowerCAmelCase,		''' '''  ).strip()
              return out_string






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



              """simple docstring"""







              lowerCamelCase_							=[self.sep_token_id]
              lowerCamelCase_							=[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,		lowerCAmelCase,		lowerCAmelCase = None,		lowerCAmelCase = False  ):



              """simple docstring"""







              if already_has_special_tokens:
                     return super().get_special_tokens_mask(
                         token_ids_a=lowerCAmelCase,		token_ids_a=lowerCAmelCase,		already_has_special_tokens=lowerCAmelCase  )

              if token_ids_a is not None:
                     return ([0] * len(lowerCAmelCase  )) + [1] + ([0] * len(lowerCAmelCase  )) + [1, 1]
              return ([0] * len(lowerCAmelCase  )) + [1, 1]






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



              """simple docstring"""







              lowerCamelCase_							=[self.sep_token_id]
              lowerCamelCase_							=[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,		lowerCAmelCase,		lowerCAmelCase = None  ):



              """simple docstring"""







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

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

              return (out_vocab_file,)






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



              """simple docstring"""







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











import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


__A									=				logging.get_logger(__name__)

__A									=				{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

__A									=				{
    "vocab_file": {
        "yjernite/retribert-base-uncased": (
            "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "yjernite/retribert-base-uncased": (
            "https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json"
        ),
    },
}

__A									=				{
    "yjernite/retribert-base-uncased": 512,
}


__A									=				{
    "yjernite/retribert-base-uncased": {"do_lower_case": True},
}



class    _SCREAMING_SNAKE_CASE						(	__SCREAMING_SNAKE_CASE    ):







 '''simple docstring'''
 lowercase_		=			VOCAB_FILES_NAMES
 lowercase_		=			PRETRAINED_VOCAB_FILES_MAP
 lowercase_		=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase_		=			PRETRAINED_INIT_CONFIGURATION
 lowercase_		=			RetriBertTokenizer
 lowercase_		=			["input_ids", "attention_mask"]

 def __init__(self				:   int       , UpperCAmelCase_				:   List[str]=None       , UpperCAmelCase_				:   str=None       , UpperCAmelCase_				:   Optional[Any]=True       , UpperCAmelCase_				:   Union[str, Any]="[UNK]"       , UpperCAmelCase_				:   Any="[SEP]"       , UpperCAmelCase_				:   List[str]="[PAD]"       , UpperCAmelCase_				:   Optional[Any]="[CLS]"       , UpperCAmelCase_				:   Optional[Any]="[MASK]"       , UpperCAmelCase_				:   Dict=True       , UpperCAmelCase_				:   str=None       , **UpperCAmelCase_				:   str       , )       ->List[Any]:



   '''simple docstring'''



   super().__init__(
       UpperCAmelCase_       , tokenizer_file=UpperCAmelCase_       , do_lower_case=UpperCAmelCase_       , unk_token=UpperCAmelCase_       , sep_token=UpperCAmelCase_       , pad_token=UpperCAmelCase_       , cls_token=UpperCAmelCase_       , mask_token=UpperCAmelCase_       , tokenize_chinese_chars=UpperCAmelCase_       , strip_accents=UpperCAmelCase_       , **UpperCAmelCase_       , )

   lowerCamelCase__:      List[Any]			  =json.loads(self.backend_tokenizer.normalizer.__getstate__())
   if (
       normalizer_state.get("lowercase"       , UpperCAmelCase_) != do_lower_case
       or normalizer_state.get("strip_accents"       , UpperCAmelCase_) != strip_accents
       or normalizer_state.get("handle_chinese_chars"       , UpperCAmelCase_) != tokenize_chinese_chars
   ):
     lowerCamelCase__:      Dict			  =getattr(UpperCAmelCase_       , normalizer_state.pop("type"))
     lowerCamelCase__:      int			  =do_lower_case
     lowerCamelCase__:      int			  =strip_accents
     lowerCamelCase__:      List[str]			  =tokenize_chinese_chars
     lowerCamelCase__:      Tuple			  =normalizer_class(**UpperCAmelCase_)

   lowerCamelCase__:      Any			  =do_lower_case

 def 							SCREAMING_SNAKE_CASE_					(self				:   List[str]       , UpperCAmelCase_				:   Dict       , UpperCAmelCase_				:   Optional[Any]=None)       ->List[str]:



   '''simple docstring'''



   lowerCamelCase__:      Optional[Any]			  =[self.cls_token_id] + token_ids_a + [self.sep_token_id]

   if token_ids_a:
     output += token_ids_a + [self.sep_token_id]

   return output

 def 							SCREAMING_SNAKE_CASE_					(self				:   Dict       , UpperCAmelCase_				:   List[int]       , UpperCAmelCase_				:   Optional[List[int]] = None)       ->List[int]:



   '''simple docstring'''



   lowerCamelCase__:      Tuple			  =[self.sep_token_id]
   lowerCamelCase__:      Optional[int]			  =[self.cls_token_id]
   if token_ids_a is None:
     return len(cls + token_ids_a + sep) * [0]
   return len(cls + token_ids_a + sep) * [0] + len(token_ids_a + sep) * [1]







 def 							SCREAMING_SNAKE_CASE_					(self				:   Tuple       , UpperCAmelCase_				:   str       , UpperCAmelCase_				:   Optional[str] = None)       ->Tuple[str]:



   '''simple docstring'''



   lowerCamelCase__:      Tuple			  =self._tokenizer.model.save(UpperCAmelCase_       , name=UpperCAmelCase_)
   return tuple(UpperCAmelCase_)

