




'''simple docstring'''





import os
from shutil import copyfile
from typing import List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


_SCREAMING_SNAKE_CASE							:       List[Any]						=			logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE							:       Optional[int]						=			{"vocab_file": "sentencepiece.model"}

_SCREAMING_SNAKE_CASE							:       Optional[int]						=			{
    "vocab_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/sentencepiece.model",
    },
}

_SCREAMING_SNAKE_CASE							:       List[str]						=			{
    "google/rembert": 256,
}




class 			_snake_case		(     lowercase_							):
			lowerCAmelCase_					:				Dict							=   VOCAB_FILES_NAMES
			lowerCAmelCase_					:				int							=   PRETRAINED_VOCAB_FILES_MAP
			lowerCAmelCase_					:				Dict							=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




			def __init__( self    ,							a__    ,							a__=False    ,							a__=True    ,							a__=True    ,							a__="[CLS]"    ,							a__="[SEP]"    ,							a__="[UNK]"    ,							a__="[SEP]"    ,							a__="[PAD]"    ,							a__="[CLS]"    ,							a__="[MASK]"    ,							**a__    ,							)    ->    int:

										'''simple docstring'''




										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__    ,							**a__    ,							)

										snake_case_      =				do_lower_case
										snake_case_      =				remove_space
										snake_case_      =				keep_accents
										snake_case_      =				vocab_file

										snake_case_      =				spm.SentencePieceProcessor()
										self.sp_model.Load(a__							)




			@property
			def        lowerCAmelCase__    ( self							)    ->    Tuple:

										'''simple docstring'''




										return len(self.sp_model							)




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

										'''simple docstring'''




										snake_case_      =				{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							)    ->    Dict:

										'''simple docstring'''




										snake_case_      =				self.__dict__.copy()
										snake_case_      =				None
										return state




			def __setstate__( self    ,							a__							)    ->    List[str]:

										'''simple docstring'''




										snake_case_      =				d
										snake_case_      =				spm.SentencePieceProcessor()
										self.sp_model.Load(self.vocab_file							)




			def        lowerCAmelCase__    ( self    ,							a__    ,							a__=False							)    ->    List[Any]:

										'''simple docstring'''




										snake_case_      =				self.sp_model.EncodeAsPieces(a__							)
										return pieces




			def        lowerCAmelCase__    ( self    ,							a__							)    ->    Union[str, Any]:

										'''simple docstring'''




										return self.sp_model.PieceToId(a__							)




			def        lowerCAmelCase__    ( self    ,							a__							)    ->    Optional[int]:

										'''simple docstring'''




										return self.sp_model.IdToPiece(a__							)




			def        lowerCAmelCase__    ( self    ,							a__							)    ->    List[Any]:

										'''simple docstring'''




										snake_case_      =				self.sp_model.decode_pieces(a__							)
										return out_string




			def        lowerCAmelCase__    ( self    ,							a__    ,							a__ = None							)    ->    List[int]:

										'''simple docstring'''




										snake_case_      =				[self.sep_token_id]
										snake_case_      =				[self.cls_token_id]
										if token_ids_a is None:
																	return cls + token_ids_a + sep
										return cls + token_ids_a + sep + token_ids_a + sep




			def        lowerCAmelCase__    ( self    ,							a__    ,							a__ = None    ,							a__ = False							)    ->    List[int]:

										'''simple docstring'''




										if already_has_special_tokens:
																	if token_ids_a is not None:
																								raise ValueError(
																								    "You should not supply a second sequence if the provided sequence of "
																								    "ids is already formatted with special tokens for the model."							)
																	return [1 if x in [self.sep_token_id, self.cls_token_id] else 0 for x in token_ids_a]

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




			def        lowerCAmelCase__    ( self    ,							a__    ,							a__ = None							)    ->    List[int]:

										'''simple docstring'''




										snake_case_      =				[self.sep_token_id]
										snake_case_      =				[self.cls_token_id]

										if token_ids_a is None:
																	return len(cls + token_ids_a + sep							) * [0]
										return len(cls + token_ids_a + sep							) * [0] + len(token_ids_a + sep							) * [1]




			def        lowerCAmelCase__    ( self    ,							a__    ,							a__ = None							)    ->    Tuple[str]:

										'''simple docstring'''




										if not os.path.isdir(a__							):
																	logger.error("Vocabulary path ({}) should be a directory".format(a__							)							)
																	return
										snake_case_      =				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__							):
																	copyfile(self.vocab_file    ,							a__							)

										return (out_vocab_file,)










'''simple docstring'''





def 					UpperCamelCase_(     snake_case							:	int = 1_0_0_0					):

							'''simple docstring'''






							snake_case_      =				3
							snake_case_      =				0
							while a < n:
														if a % 3 == 0 or a % 5 == 0:
																					result += a
														elif a % 1_5 == 0:
																					result -= a
														a += 1
							return result


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




