





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									=				logging.get_logger(__name__)

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

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



class    _SCREAMING_SNAKE_CASE						(	__SCREAMING_SNAKE_CASE    ):







 '''simple docstring'''

 def __init__(self				:   Optional[int]       , UpperCAmelCase_				:   Union[str, Any]       , UpperCAmelCase_				:   Any=False       , UpperCAmelCase_				:   Optional[Any]=True       , UpperCAmelCase_				:   Optional[Any]=False       , UpperCAmelCase_				:   Any="<s>"       , UpperCAmelCase_				:   Dict="</s>"       , UpperCAmelCase_				:   Dict="<unk>"       , UpperCAmelCase_				:   Union[str, Any]="<sep>"       , UpperCAmelCase_				:   Optional[int]="<pad>"       , UpperCAmelCase_				:   Tuple="<cls>"       , UpperCAmelCase_				:   Any="<mask>"       , UpperCAmelCase_				:   Optional[int]=["<eop>", "<eod>"]       , UpperCAmelCase_				:   Optional[Dict[str, Any]] = None       , **UpperCAmelCase_				:   Optional[Any]       , )       ->None:



   '''simple docstring'''



   lowerCamelCase__:      str			  =AddedToken(UpperCAmelCase_       , lstrip=UpperCAmelCase_       , rstrip=UpperCAmelCase_) if isinstance(UpperCAmelCase_       , UpperCAmelCase_) else mask_token

   lowerCamelCase__:      int			  ={} 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_       , )

   lowerCamelCase__:      List[Any]			  =3

   lowerCamelCase__:      Dict			  =do_lower_case
   lowerCamelCase__:      Any			  =remove_space
   lowerCamelCase__:      int			  =keep_accents
   lowerCamelCase__:      List[str]			  =vocab_file

   lowerCamelCase__:      Tuple			  =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.")
   lowerCamelCase__:      Optional[Any]			  =jieba
   lowerCamelCase__:      Union[str, Any]			  =str.maketrans(" \n"       , "\u2582\u2583")

 @property
 # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
 def 							SCREAMING_SNAKE_CASE_					(self				:   Tuple)       ->Optional[int]:



   '''simple docstring'''



   return len(self.sp_model)

 def 							SCREAMING_SNAKE_CASE_					(self				:   Tuple)       ->Union[str, Any]:



   '''simple docstring'''



   lowerCamelCase__:      Dict			  ={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				:   List[Any])       ->Optional[Any]:



   '''simple docstring'''



   lowerCamelCase__:      Any			  =self.__dict__.copy()
   lowerCamelCase__:      str			  =None
   return state

 def __setstate__(self				:   str       , UpperCAmelCase_				:   Tuple)       ->int:



   '''simple docstring'''



   lowerCamelCase__:      List[str]			  =d

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

   lowerCamelCase__:      List[Any]			  =spm.SentencePieceProcessor(**self.sp_model_kwargs)
   self.sp_model.Load(self.vocab_file)

 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[Any]       , UpperCAmelCase_				:   Union[str, Any])       ->Union[str, Any]:



   '''simple docstring'''



   if self.remove_space:
     lowerCamelCase__:      Union[str, Any]			  =" ".join(inputs.strip().split())
   else:
     lowerCamelCase__:      int			  =inputs
   lowerCamelCase__:      Any			  =outputs.replace("``"       , "\"").replace("''"       , "\"")

   if not self.keep_accents:
     lowerCamelCase__:      Optional[Any]			  =unicodedata.normalize("NFKD"       , UpperCAmelCase_)
     lowerCamelCase__:      Optional[int]			  ="".join([c for c in outputs if not unicodedata.combining(UpperCAmelCase_)])
   if self.do_lower_case:
     lowerCamelCase__:      Optional[Any]			  =outputs.lower()

   return outputs

 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[Any]       , UpperCAmelCase_				:   str)       ->List[str]:



   '''simple docstring'''



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

   return new_pieces

 def 							SCREAMING_SNAKE_CASE_					(self				:   List[Any]       , UpperCAmelCase_				:   Tuple)       ->Tuple:



   '''simple docstring'''



   return self.sp_model.PieceToId(UpperCAmelCase_)

 def 							SCREAMING_SNAKE_CASE_					(self				:   Optional[Any]       , UpperCAmelCase_				:   Union[str, Any])       ->List[Any]:



   '''simple docstring'''



   return self.sp_model.IdToPiece(UpperCAmelCase_)

 def 							SCREAMING_SNAKE_CASE_					(self				:   List[Any]       , UpperCAmelCase_				:   List[str])       ->Tuple:



   '''simple docstring'''



   lowerCamelCase__:      Union[str, Any]			  ="".join(UpperCAmelCase_).replace(UpperCAmelCase_       , " ").strip()
   return out_string

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



   '''simple docstring'''



   lowerCamelCase__:      List[str]			  =[self.sep_token_id]
   lowerCamelCase__:      Optional[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 							SCREAMING_SNAKE_CASE_					(self				:   Union[str, Any]       , UpperCAmelCase_				:   List[int]       , UpperCAmelCase_				:   Optional[List[int]] = None       , UpperCAmelCase_				:   bool = 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 							SCREAMING_SNAKE_CASE_					(self				:   Optional[int]       , UpperCAmelCase_				:   List[int]       , UpperCAmelCase_				:   Optional[List[int]] = None)       ->List[int]:



   '''simple docstring'''



   lowerCamelCase__:      Optional[Any]			  =[self.sep_token_id]
   lowerCamelCase__:      Any			  =[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 							SCREAMING_SNAKE_CASE_					(self				:   Optional[Any]       , UpperCAmelCase_				:   str       , UpperCAmelCase_				:   Optional[str] = None)       ->Tuple[str]:



   '''simple docstring'''



   if not os.path.isdir(UpperCAmelCase_):
     logger.error(F"""Vocabulary path ({save_directory}) should be a directory""")
     return
   lowerCamelCase__:      List[str]			  =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:
       lowerCamelCase__:      List[Any]			  =self.sp_model.serialized_model_proto()
       fi.write(UpperCAmelCase_)

   return (out_vocab_file,)







 def 							SCREAMING_SNAKE_CASE_					(self				:   Any       , *UpperCAmelCase_				:   List[str]       , **UpperCAmelCase_				:   Any)       ->Dict:



   '''simple docstring'''



   lowerCamelCase__:      Any			  =super()._decode(*UpperCAmelCase_       , **UpperCAmelCase_)
   lowerCamelCase__:      Dict			  =text.replace(" "       , "").replace("\u2582"       , " ").replace("\u2583"       , "\n")
   return text








import logging

from transformers.configuration_utils import PretrainedConfig


__A									=				logging.getLogger(__name__)



class    _SCREAMING_SNAKE_CASE						(	__SCREAMING_SNAKE_CASE    ):







 '''simple docstring'''
 lowercase_		=			"masked_bert"

 def __init__(self				:   Dict       , UpperCAmelCase_				:   Any=30_522       , UpperCAmelCase_				:   List[Any]=768       , UpperCAmelCase_				:   Optional[Any]=12       , UpperCAmelCase_				:   str=12       , UpperCAmelCase_				:   Tuple=3_072       , UpperCAmelCase_				:   str="gelu"       , UpperCAmelCase_				:   Any=0.1       , UpperCAmelCase_				:   Tuple=0.1       , UpperCAmelCase_				:   Optional[Any]=512       , UpperCAmelCase_				:   Union[str, Any]=2       , UpperCAmelCase_				:   str=0.02       , UpperCAmelCase_				:   str=1E-1_2       , UpperCAmelCase_				:   Union[str, Any]=0       , UpperCAmelCase_				:   str="topK"       , UpperCAmelCase_				:   List[str]="constant"       , UpperCAmelCase_				:   str=0.0       , **UpperCAmelCase_				:   int       , )       ->List[Any]:



   '''simple docstring'''



   super().__init__(pad_token_id=UpperCAmelCase_       , **UpperCAmelCase_)

   lowerCamelCase__:      Optional[int]			  =vocab_size
   lowerCamelCase__:      Dict			  =hidden_size
   lowerCamelCase__:      Optional[int]			  =num_hidden_layers
   lowerCamelCase__:      Any			  =num_attention_heads
   lowerCamelCase__:      List[Any]			  =hidden_act
   lowerCamelCase__:      str			  =intermediate_size
   lowerCamelCase__:      Dict			  =hidden_dropout_prob
   lowerCamelCase__:      str			  =attention_probs_dropout_prob
   lowerCamelCase__:      int			  =max_position_embeddings
   lowerCamelCase__:      Tuple			  =type_vocab_size
   lowerCamelCase__:      str			  =initializer_range
   lowerCamelCase__:      List[Any]			  =layer_norm_eps
   lowerCamelCase__:      str			  =pruning_method
   lowerCamelCase__:      Union[str, Any]			  =mask_init
   lowerCamelCase__:      Optional[Any]			  =mask_scale

