


'''simple docstring'''
import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


__SCREAMING_SNAKE_CASE				:							Tuple		       =		logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE				:							int		       =		{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

__SCREAMING_SNAKE_CASE				:							Optional[Any]		       =		{
    '''vocab_file''': {
        '''TsinghuaAI/CPM-Generate''': '''https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model''',
    },
    '''tokenizer_file''': {
        '''TsinghuaAI/CPM-Generate''': '''https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json''',
    },
}






class 				__lowerCAmelCase      (      lowercase  ):

						"""simple docstring"""






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

													super().__init__(
													    vocab_file=lowerCAmelCase   ,     tokenizer_file=lowerCAmelCase   ,     do_lower_case=lowerCAmelCase   ,     remove_space=lowerCAmelCase   ,     keep_accents=lowerCAmelCase   ,     bos_token=lowerCAmelCase   ,     eos_token=lowerCAmelCase   ,     unk_token=lowerCAmelCase   ,     sep_token=lowerCAmelCase   ,     pad_token=lowerCAmelCase   ,     cls_token=lowerCAmelCase   ,     mask_token=lowerCAmelCase   ,     additional_special_tokens=lowerCAmelCase   ,     **lowerCAmelCase   ,     )

													A_ 						=		3
													A_ 						=		do_lower_case
													A_ 						=		remove_space
													A_ 						=		keep_accents
													A_ 						=		vocab_file
													A_ 						=		False if not self.vocab_file else True

													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_ 						=		jieba
													A_ 						=		str.maketrans(" \n"   ,     "\u2582\u2583"  )






						def 							_UpperCAmelCase					(     self       :			List[Any]   ,     lowerCAmelCase       :			List[int]   ,     lowerCAmelCase       :			Optional[List[int]] = None  ):
													A_ 						=		[self.sep_token_id]
													A_ 						=		[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       :			List[str]   ,     lowerCAmelCase       :			List[int]   ,     lowerCAmelCase       :			Optional[List[int]] = None  ):
													A_ 						=		[self.sep_token_id]
													A_ 						=		[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       :			Optional[Any]   ,     lowerCAmelCase       :			str   ,     lowerCAmelCase       :			Optional[str] = None  ):
													if not self.can_save_slow_tokenizer:
																				raise ValueError(
																				    "Your fast tokenizer does not have the necessary information to save the vocabulary for a slow "
																				    "tokenizer."  )

													if not os.path.isdir(lowerCAmelCase  ):
																				logger.error(F"Vocabulary path ({save_directory}) should be a directory"  )
																				return
													A_ 						=		os.path.join(
													    lowerCAmelCase   ,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]  )

													if os.path.abspath(self.vocab_file  ) != os.path.abspath(lowerCAmelCase  ):
																				copyfile(self.vocab_file   ,     lowerCAmelCase  )

													return (out_vocab_file,)






						def 							_UpperCAmelCase					(     self       :			Dict   ,     lowerCAmelCase       :			Any   ,     *lowerCAmelCase       :			List[Any]   ,     **lowerCAmelCase       :			str  ):
													A_ 						=		[
													    " ".join([x.translate(self.translator  ) for x in self.jieba.cut(lowerCAmelCase   ,     cut_all=lowerCAmelCase  )]  )
													    for text in batch_text_or_text_pairs
													]
													return super()._batch_encode_plus(lowerCAmelCase   ,     *lowerCAmelCase   ,     **lowerCAmelCase  )






						def 							_UpperCAmelCase					(     self       :			List[str]   ,     *lowerCAmelCase       :			List[str]   ,     **lowerCAmelCase       :			Any  ):
													A_ 						=		super()._decode(*lowerCAmelCase   ,     **lowerCAmelCase  )
													A_ 						=		text.replace(" "   ,     ""  ).replace("\u2582"   ,     " "  ).replace("\u2583"   ,     "\n"  )
													return text









'''simple docstring'''
def 			a_							(  UpperCamelCase_   ):
							if not isinstance(UpperCamelCase_	,     UpperCamelCase_   ):
														A_ 						=		f"Input value of [number={number}] must be an integer"
														raise TypeError(UpperCamelCase_   )
							if number < 0 or number % 2 == 1:
														return False
							A_ 						=		int(number**0.5   )
							return number == number_sqrt * (number_sqrt + 1)


if __name__ == "__main__":
							import doctest

							doctest.testmod()





