





'''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


_SCREAMING_SNAKE_CASE	 =							logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE	 =							{'''vocab_file''': '''spiece.model'''}

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

class    lowerCAmelCase_		(		_UpperCAmelCase		):




 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			,     )    ->							None:
     _lowerCAmelCase				=	AddedToken(__UpperCamelCase			,     lstrip=__UpperCamelCase			,     rstrip=__UpperCamelCase		) if isinstance(__UpperCamelCase			,     __UpperCamelCase		) else mask_token

     _lowerCAmelCase				=	{} 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				=	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(__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				=	jieba
     _lowerCAmelCase				=	str.maketrans(" \n"			,     "\u2582\u2583"		)




 @property
 # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
 def 							_snake_case   (	self		)    ->							List[str]:
     return len(self.sp_model		)




 def 							_snake_case   (	self		)    ->							Union[str, Any]:
     _lowerCAmelCase				=	{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		)    ->							Union[str, Any]:
     _lowerCAmelCase				=	self.__dict__.copy()
     _lowerCAmelCase				=	None
     return state




 def __setstate__(	self			,     _lowerCAmelCase		)    ->							Any:
     _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 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							int:






     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"			,     __UpperCamelCase		)
         _lowerCAmelCase				=	"".join([c for c in outputs if not unicodedata.combining(__UpperCamelCase		)]		)
     if self.do_lower_case:
         _lowerCAmelCase				=	outputs.lower()

     return outputs




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							List[str]:
     _lowerCAmelCase				=	self.preprocess_text(__UpperCamelCase		)
     _lowerCAmelCase				=	self.sp_model.encode(__UpperCamelCase			,     out_type=__UpperCamelCase		)
     _lowerCAmelCase				=	[]
     for piece in pieces:
         if len(__UpperCamelCase		) > 1 and piece[-1] == str(","		) and piece[-2].isdigit():
             _lowerCAmelCase				=	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				=	cur_pieces[1:]
                 else:
                     _lowerCAmelCase				=	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			,     _lowerCAmelCase		)    ->							str:
     return self.sp_model.PieceToId(__UpperCamelCase		)




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Optional[Any]:
     return self.sp_model.IdToPiece(__UpperCamelCase		)




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Any:
     _lowerCAmelCase				=	"".join(__UpperCamelCase		).replace(__UpperCamelCase			,     " "		).strip()
     return out_string




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase = None		)    ->							List[int]:
     _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 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase = None			,     _lowerCAmelCase = False		)    ->							List[int]:






     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			,     _lowerCAmelCase			,     _lowerCAmelCase = None		)    ->							List[int]:
     _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 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase = None		)    ->							Tuple[str]:






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

     return (out_vocab_file,)





 def 							_snake_case   (	self			,     *_lowerCAmelCase			,     **_lowerCAmelCase		)    ->							Optional[int]:
     _lowerCAmelCase				=	super()._decode(*__UpperCamelCase			,     **__UpperCamelCase		)
     _lowerCAmelCase				=	text.replace(" "			,     ""		).replace("\u2582"			,     " "		).replace("\u2583"			,     "\n"		)
     return text









'''simple docstring'''


from __future__ import annotations


def 	__a(SCREAMING_SNAKE_CASE_  :					float		,       SCREAMING_SNAKE_CASE_  :					float		,       SCREAMING_SNAKE_CASE_  :					float    ):



    '''simple docstring'''





    if (voltage, current, resistance).count(0    ) != 1:
        raise ValueError("One and only one argument must be 0"    )
    if resistance < 0:
        raise ValueError("Resistance cannot be negative"    )
    if voltage == 0:
        return {"voltage": float(current * resistance    )}
    elif current == 0:
        return {"current": voltage / resistance}
    elif resistance == 0:
        return {"resistance": voltage / current}
    else:
        raise ValueError("Exactly one argument must be 0"    )


if __name__ == "__main__":
       import doctest

       doctest.testmod()


