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


_lowerCAmelCase       =		logging.get_logger(__name__)

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

_lowerCAmelCase       =		{
    "vocab_file": {
        "TsinghuaAI/CPM-Generate": "https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model",
    }
}
class     lowerCAmelCase_     (       __lowercase ):







							def __init__(   self      :     Any ,			_A      :     Optional[int] ,			_A      :     Union[str, Any]=False ,			_A      :     Dict=True ,			_A      :     str=False ,			_A      :     int="<s>" ,			_A      :     Optional[Any]="</s>" ,			_A      :     Any="<unk>" ,			_A      :     List[Any]="<sep>" ,			_A      :     Any="<pad>" ,			_A      :     List[str]="<cls>" ,			_A      :     Tuple="<mask>" ,			_A      :     List[Any]=["<eop>", "<eod>"] ,			_A      :     Optional[Dict[str, Any]] = None ,			**_A      :     Optional[Any] ,			):
												_UpperCamelCase			     =     AddedToken(_A ,			lstrip=_A ,			rstrip=_A		) if isinstance(_A ,			_A		) else mask_token

												_UpperCamelCase			     =     {} if sp_model_kwargs is None else sp_model_kwargs

												super().__init__(
												    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 ,			sp_model_kwargs=self.sp_model_kwargs ,			**_A ,			)

												_UpperCamelCase			     =     3

												_UpperCamelCase			     =     do_lower_case
												_UpperCamelCase			     =     remove_space
												_UpperCamelCase			     =     keep_accents
												_UpperCamelCase			     =     vocab_file

												_UpperCamelCase			     =     spm.SentencePieceProcessor(**self.sp_model_kwargs		)
												self.sp_model.Load(_A		)

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







							@property
							# Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
							def  UpperCamelCase_						(   self      :     int		):
												return len(self.sp_model		)







							def  UpperCamelCase_						(   self      :     Tuple		):
												_UpperCamelCase			     =     {self.convert_ids_to_tokens(_A		): i for i in range(self.vocab_size		)}
												vocab.update(self.added_tokens_encoder		)
												return vocab







							def __getstate__(   self      :     Optional[Any]		):
												_UpperCamelCase			     =     self.__dict__.copy()
												_UpperCamelCase			     =     None
												return state







							def __setstate__(   self      :     str ,			_A      :     Optional[int]		):
												_UpperCamelCase			     =     d

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

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







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

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

												return outputs







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

												return new_pieces







							def  UpperCamelCase_						(   self      :     List[str] ,			_A      :     Optional[Any]		):
												return self.sp_model.PieceToId(_A		)







							def  UpperCamelCase_						(   self      :     int ,			_A      :     Any		):
												return self.sp_model.IdToPiece(_A		)







							def  UpperCamelCase_						(   self      :     Optional[int] ,			_A      :     Optional[int]		):
												_UpperCamelCase			     =     ''''''.join(_A		).replace(_A ,			''' '''		).strip()
												return out_string







							def  UpperCamelCase_						(   self      :     Tuple ,			_A      :     List[int] ,			_A      :     Optional[List[int]] = None		):
												_UpperCamelCase			     =     [self.sep_token_id]
												_UpperCamelCase			     =     [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  UpperCamelCase_						(   self      :     int ,			_A      :     List[int] ,			_A      :     Optional[List[int]] = None ,			_A      :     bool = False		):

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

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







							def  UpperCamelCase_						(   self      :     List[Any] ,			_A      :     List[int] ,			_A      :     Optional[List[int]] = None		):
												_UpperCamelCase			     =     [self.sep_token_id]
												_UpperCamelCase			     =     [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  UpperCamelCase_						(   self      :     Union[str, Any] ,			_A      :     str ,			_A      :     Optional[str] = None		):
												if not os.path.isdir(_A		):
																	logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""		)
																	return
												_UpperCamelCase			     =     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		) and os.path.isfile(self.vocab_file		):
																	copyfile(self.vocab_file ,			_A		)
												elif not os.path.isfile(self.vocab_file		):
																	with open(_A ,			'''wb'''		) as fi:
																						_UpperCamelCase			     =     self.sp_model.serialized_model_proto()
																						fi.write(_A		)

												return (out_vocab_file,)







							def  UpperCamelCase_						(   self      :     Tuple ,			*_A      :     Any ,			**_A      :     str		):
												_UpperCamelCase			     =     super()._decode(*_A ,			**_A		)
												_UpperCamelCase			     =     text.replace(''' ''' ,			''''''		).replace('''\u2582''' ,			''' '''		).replace('''\u2583''' ,			'''\n'''		)
												return text

def 					_snake_case	(  __snake_case = 100						):
					_UpperCamelCase			     =     (n * (n + 1) // 2) ** 2
					_UpperCamelCase			     =     n * (n + 1) * (2 * n + 1) // 6
					return sum_cubes - sum_squares


if __name__ == "__main__":
					print(f'{solution() = }')
