"""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  =				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  _snake_case     (					a__		):






						def __init__(       self      :			Optional[Any]							,					UpperCAmelCase      :			List[Any]							,					UpperCAmelCase      :			Any=False							,					UpperCAmelCase      :			Union[str, Any]=True							,					UpperCAmelCase      :			Tuple=False							,					UpperCAmelCase      :			int="<s>"							,					UpperCAmelCase      :			Union[str, Any]="</s>"							,					UpperCAmelCase      :			Optional[Any]="<unk>"							,					UpperCAmelCase      :			Tuple="<sep>"							,					UpperCAmelCase      :			List[str]="<pad>"							,					UpperCAmelCase      :			Union[str, Any]="<cls>"							,					UpperCAmelCase      :			str="<mask>"							,					UpperCAmelCase      :			Tuple=["<eop>", "<eod>"]							,					UpperCAmelCase      :			List[str] = None							,					**UpperCAmelCase      :			List[Any]							,					):
													__lowerCamelCase					:		Union[str, Any]							   =     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					:		Union[str, Any]							   =     3

													__lowerCamelCase					:		Tuple							   =     do_lower_case
													__lowerCamelCase					:		List[str]							   =     remove_space
													__lowerCamelCase					:		Union[str, Any]							   =     keep_accents
													__lowerCamelCase					:		Union[str, Any]							   =     vocab_file

													__lowerCamelCase					:		Dict							   =     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					:		Any							   =     jieba
													__lowerCamelCase					:		List[Any]							   =     str.maketrans(" \n"							,					"\u2582\u2583"    )






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






						def       lowerCamelCase__     (       self      :			Optional[int]    ):
													__lowerCamelCase					:		List[str]							   =     {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      :			Optional[int]    ):
													__lowerCamelCase					:		Optional[Any]							   =     self.__dict__.copy()
													__lowerCamelCase					:		Dict							   =     None
													return state






						def __setstate__(       self      :			Tuple							,					UpperCAmelCase      :			str    ):
													__lowerCamelCase					:		int							   =     d

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

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






						def       lowerCamelCase__     (       self      :			Dict							,					UpperCAmelCase      :			List[Any]    ):
													if self.remove_space:
																				__lowerCamelCase					:		List[str]							   =     " ".join(inputs.strip().split()    )
													else:
																				__lowerCamelCase					:		str							   =     inputs
													__lowerCamelCase					:		Any							   =     outputs.replace("``"							,					"\""    ).replace("''"							,					"\""    )

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

													return outputs






						def       lowerCamelCase__     (       self      :			Dict							,					UpperCAmelCase      :			Any    ):
													__lowerCamelCase					:		Optional[int]							   =     self.preprocess_text(UpperCamelCase_    )
													__lowerCamelCase					:		Union[str, Any]							   =     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					:		str							   =     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					:		List[Any]							   =     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       lowerCamelCase__     (       self      :			List[str]							,					UpperCAmelCase      :			Optional[Any]    ):
													return self.sp_model.PieceToId(UpperCamelCase_    )






						def       lowerCamelCase__     (       self      :			Optional[int]							,					UpperCAmelCase      :			List[str]    ):
													return self.sp_model.IdToPiece(UpperCamelCase_    )






						def       lowerCamelCase__     (       self      :			str							,					UpperCAmelCase      :			List[Any]    ):
													__lowerCamelCase					:		Optional[int]							   =     "".join(UpperCamelCase_    ).replace(UpperCamelCase_							,					" "    ).strip()
													return out_string






						def       lowerCamelCase__     (       self      :			Optional[Any]							,					UpperCAmelCase      :			List[str]							,					UpperCAmelCase      :			Tuple = None    ):
													__lowerCamelCase					:		Optional[int]							   =     [self.sep_token_id]
													__lowerCamelCase					:		Union[str, 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      :			Tuple							,					UpperCAmelCase      :			Tuple							,					UpperCAmelCase      :			List[Any] = None							,					UpperCAmelCase      :			List[str] = False    ):

													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       lowerCamelCase__     (       self      :			Optional[Any]							,					UpperCAmelCase      :			Optional[int]							,					UpperCAmelCase      :			Optional[int] = None    ):
													__lowerCamelCase					:		int							   =     [self.sep_token_id]
													__lowerCamelCase					:		Tuple							   =     [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      :			int							,					UpperCAmelCase      :			Optional[Any]							,					UpperCAmelCase      :			str = None    ):
													if not os.path.isdir(UpperCamelCase_    ):
																				logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""    )
																				return
													__lowerCamelCase					:		List[Any]							   =     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					:		Optional[int]							   =     self.sp_model.serialized_model_proto()
																											fi.write(UpperCamelCase_    )

													return (out_vocab_file,)







						def       lowerCamelCase__     (       self      :			Tuple							,					*UpperCAmelCase      :			Tuple							,					**UpperCAmelCase      :			Any    ):
													__lowerCamelCase					:		str							   =     super()._decode(*UpperCamelCase_							,					**UpperCamelCase_    )
													__lowerCamelCase					:		Optional[Any]							   =     text.replace(" "							,					""    ).replace("\u2582"							,					" "    ).replace("\u2583"							,					"\n"    )
													return text
"""simple docstring"""





import copy
from dataclasses import dataclass
from pathlib import Path
from typing import Dict, Optional, Union
@dataclass
class  _snake_case     :
						snake_case__			  =			None
						snake_case__			  =			False
						snake_case__			  =			False
						snake_case__			  =			False
						snake_case__			  =			None
						snake_case__			  =			None
						snake_case__			  =			False
						snake_case__			  =			False
						snake_case__			  =			False
						snake_case__			  =			True
						snake_case__			  =			None
						snake_case__			  =			1
						snake_case__			  =			None
						snake_case__			  =			False
						snake_case__			  =			None
						snake_case__			  =			None






						def       lowerCamelCase__     (       self      :			Any    ):
													return self.__class__(**{k: copy.deepcopy(UpperCAmelCase    ) for k, v in self.__dict__.items()}    )