


'''simple docstring'''



def       _UpperCamelCase (						UpperCamelCase__   ):
			if not isinstance(UpperCamelCase__	, UpperCamelCase__   ) or number < 0:
						raise ValueError("""Input must be a non-negative integer"""   )

			UpperCAmelCase__					:   Dict       				=       0
			while number:
						# This way we arrive at next set bit (next 1) instead of looping
						# through each bit and checking for 1s hence the
						# loop won't run 32 times it will only run the number of `1` times
						number &= number - 1
						count += 1
			return count


if __name__ == "__main__":
		import doctest

		doctest.testmod()



'''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							,							_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							,							):
								UpperCAmelCase__					:   Dict       				=       AddedToken(_lowerCamelCase							,							lstrip=_lowerCamelCase							,							rstrip=_lowerCamelCase) if isinstance(_lowerCamelCase							,							_lowerCamelCase) else mask_token

								UpperCAmelCase__					:   Any       				=       {} if sp_model_kwargs is None else sp_model_kwargs

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

								UpperCAmelCase__					:   List[str]       				=       3

								UpperCAmelCase__					:   str       				=       do_lower_case
								UpperCAmelCase__					:   Tuple       				=       remove_space
								UpperCAmelCase__					:   List[str]       				=       keep_accents
								UpperCAmelCase__					:   Any       				=       vocab_file

								UpperCAmelCase__					:   str       				=       spm.SentencePieceProcessor(**self.sp_model_kwargs)
								self.sp_model.Load(_lowerCamelCase)

								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__					:   Union[str, Any]       				=       jieba
								UpperCAmelCase__					:   int       				=       str.maketrans(""" \n"""							,							"""\u2582\u2583""")




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




					def 			snake_case__  ( self):
								UpperCAmelCase__					:   Optional[Any]       				=       {self.convert_ids_to_tokens(_lowerCamelCase): i for i in range(self.vocab_size)}
								vocab.update(self.added_tokens_encoder)
								return vocab




					def __getstate__( self):
								UpperCAmelCase__					:   List[str]       				=       self.__dict__.copy()
								UpperCAmelCase__					:   Optional[int]       				=       None
								return state




					def __setstate__( self							,							_lowerCamelCase):
								UpperCAmelCase__					:   Optional[Any]       				=       d

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

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




					def 			snake_case__  ( self							,							_lowerCamelCase):
								if self.remove_space:
											UpperCAmelCase__					:   Tuple       				=       """ """.join(inputs.strip().split())
								else:
											UpperCAmelCase__					:   str       				=       inputs
								UpperCAmelCase__					:   List[Any]       				=       outputs.replace("""``"""							,							"""\"""").replace("""''"""							,							"""\"""")

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

								return outputs




					def 			snake_case__  ( self							,							_lowerCamelCase):
								UpperCAmelCase__					:   List[str]       				=       self.preprocess_text(_lowerCamelCase)
								UpperCAmelCase__					:   Dict       				=       self.sp_model.encode(_lowerCamelCase							,							out_type=_lowerCamelCase)
								UpperCAmelCase__					:   List[Any]       				=       []
								for piece in pieces:
											if len(_lowerCamelCase) > 1 and piece[-1] == str(""",""") and piece[-2].isdigit():
														UpperCAmelCase__					:   str       				=       self.sp_model.EncodeAsPieces(piece[:-1].replace(_lowerCamelCase							,							""""""))
														if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
																	if len(cur_pieces[0]) == 1:
																				UpperCAmelCase__					:   Optional[int]       				=       cur_pieces[1:]
																	else:
																				UpperCAmelCase__					:   Optional[int]       				=       cur_pieces[0][1:]
														cur_pieces.append(piece[-1])
														new_pieces.extend(_lowerCamelCase)
											else:
														new_pieces.append(_lowerCamelCase)

								return new_pieces




					def 			snake_case__  ( self							,							_lowerCamelCase):
								return self.sp_model.PieceToId(_lowerCamelCase)




					def 			snake_case__  ( self							,							_lowerCamelCase):
								return self.sp_model.IdToPiece(_lowerCamelCase)




					def 			snake_case__  ( self							,							_lowerCamelCase):
								UpperCAmelCase__					:   str       				=       """""".join(_lowerCamelCase).replace(_lowerCamelCase							,							""" """).strip()
								return out_string




					def 			snake_case__  ( self							,							_lowerCamelCase							,							_lowerCamelCase = None):
								UpperCAmelCase__					:   Optional[Any]       				=       [self.sep_token_id]
								UpperCAmelCase__					:   Optional[int]       				=       [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):

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

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




					def 			snake_case__  ( self							,							_lowerCamelCase							,							_lowerCamelCase = None):
								UpperCAmelCase__					:   int       				=       [self.sep_token_id]
								UpperCAmelCase__					:   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 			snake_case__  ( self							,							_lowerCamelCase							,							_lowerCamelCase = None):
								if not os.path.isdir(_lowerCamelCase):
											logger.error(f'''Vocabulary path ({save_directory}) should be a directory''')
											return
								UpperCAmelCase__					:   str       				=       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) and os.path.isfile(self.vocab_file):
											copyfile(self.vocab_file							,							_lowerCamelCase)
								elif not os.path.isfile(self.vocab_file):
											with open(_lowerCamelCase							,							"""wb""") as fi:
														UpperCAmelCase__					:   str       				=       self.sp_model.serialized_model_proto()
														fi.write(_lowerCamelCase)

								return (out_vocab_file,)




					def 			snake_case__  ( self							,							*_lowerCamelCase							,							**_lowerCamelCase):
								UpperCAmelCase__					:   Union[str, Any]       				=       super()._decode(*_lowerCamelCase							,							**_lowerCamelCase)
								UpperCAmelCase__					:   Any       				=       text.replace(""" """							,							"""""").replace("""\u2582"""							,							""" """).replace("""\u2583"""							,							"""\n""")
								return text