
'''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


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

lowercase     :							List[str]       						=     {'vocab_file': 'spiece.model'}

lowercase     :							List[str]       						=     {
    'vocab_file': {
        'TsinghuaAI/CPM-Generate': 'https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model',
    }
}





class 					A							(				__snake_case		):





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






         """simple docstring"""






         A			:  str   =		AddedToken(SCREAMING_SNAKE_CASE		,     lstrip=SCREAMING_SNAKE_CASE		,     rstrip=SCREAMING_SNAKE_CASE      ) if isinstance(SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE      ) else mask_token

         A			:  List[Any]   =		{} if sp_model_kwargs is None else sp_model_kwargs

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

         A			:  Optional[Any]   =		3

         A			:  Optional[int]   =		do_lower_case
         A			:  Union[str, Any]   =		remove_space
         A			:  Tuple   =		keep_accents
         A			:  List[Any]   =		vocab_file

         A			:  Union[str, Any]   =		spm.SentencePieceProcessor(**self.sp_model_kwargs      )
         self.sp_model.Load(SCREAMING_SNAKE_CASE      )

         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			:  Tuple   =		jieba
         A			:  List[str]   =		str.maketrans(''' \n'''		,     '''\u2582\u2583'''      )





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






         """simple docstring"""






         return len(self.sp_model      )





     def 							__lowerCAmelCase				(				self      )					->							List[Any]:






         """simple docstring"""






         A			:  int   =		{self.convert_ids_to_tokens(SCREAMING_SNAKE_CASE      ): i for i in range(self.vocab_size      )}
         vocab.update(self.added_tokens_encoder      )
         return vocab





     def __getstate__(				self      )					->							Optional[int]:






         """simple docstring"""






         A			:  Dict   =		self.__dict__.copy()
         A			:  Any   =		None
         return state





     def __setstate__(				self		,     SCREAMING_SNAKE_CASE      )					->							Any:






         """simple docstring"""






         A			:  str   =		d

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

         A			:  str   =		spm.SentencePieceProcessor(**self.sp_model_kwargs      )
         self.sp_model.Load(self.vocab_file      )





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE      )					->							Any:






         """simple docstring"""






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

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

         return outputs





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE      )					->							List[str]:






         """simple docstring"""






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

         return new_pieces





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE      )					->							Optional[int]:






         """simple docstring"""






         return self.sp_model.PieceToId(SCREAMING_SNAKE_CASE      )





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE      )					->							int:






         """simple docstring"""






         return self.sp_model.IdToPiece(SCREAMING_SNAKE_CASE      )





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE      )					->							str:






         """simple docstring"""






         A			:  Any   =		''''''.join(SCREAMING_SNAKE_CASE      ).replace(SCREAMING_SNAKE_CASE		,     ''' '''      ).strip()
         return out_string





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE = None      )					->							List[int]:






         """simple docstring"""






         A			:  Optional[Any]   =		[self.sep_token_id]
         A			:  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		,     SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE = None		,     SCREAMING_SNAKE_CASE = False      )					->							List[int]:






         """simple docstring"""






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

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





     def 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE = None      )					->							List[int]:






         """simple docstring"""






         A			:  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 							__lowerCAmelCase				(				self		,     SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE = None      )					->							Tuple[str]:






         """simple docstring"""






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

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

         return (out_vocab_file,)





     def 							__lowerCAmelCase				(				self		,     *SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )					->							Tuple:






         """simple docstring"""






         A			:  Dict   =		super()._decode(*SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )
         A			:  Union[str, Any]   =		text.replace(''' '''		,     ''''''      ).replace('''\u2582'''		,     ''' '''      ).replace('''\u2583'''		,     '''\n'''      )
         return text






'''simple docstring'''




lowercase     :							dict[str, float]       						=     {
    "joule": 1.0,
    "kilojoule": 10_00,
    "megajoule": 1_00_00_00,
    "gigajoule": 10_00_00_00_00,
    "wattsecond": 1.0,
    "watthour": 36_00,
    "kilowatthour": 3_60_00_00,
    "newtonmeter": 1.0,
    "calorie_nutr": 41_86.8,
    "kilocalorie_nutr": 4_18_68_00.00,
    "electronvolt": 1.6_02_17_66_34e-19,
    "britishthermalunit_it": 10_55.0_55_85,
    "footpound": 1.35_58_18,
}







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__						,							snake_case__		):




    '''simple docstring'''



    if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
        A			:  int   =		(
            F'Incorrect \'from_type\' or \'to_type\' value: {from_type!r}, {to_type!r}\n'
            F'Valid values are: {", ".join(snake_case__		)}'
        )
        raise ValueError(snake_case__		)
    return value * ENERGY_CONVERSION[from_type] / ENERGY_CONVERSION[to_type]


if __name__ == "__main__":
      import doctest

      doctest.testmod()




