'''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


UpperCamelCase_      	=	logging.get_logger(__name__)

UpperCamelCase_      	=	{"vocab_file": "sentencepiece.model"}

UpperCamelCase_      	=	{
    "vocab_file": {
        "google/rembert": "https://huggingface.co/google/rembert/resolve/main/sentencepiece.model",
    },
}

UpperCamelCase_      	=	{
    "google/rembert": 2_56,
}




class _SCREAMING_SNAKE_CASE(							lowercase_					):
						A_			:							Optional[Any]     		= VOCAB_FILES_NAMES
						A_			:							Optional[int]     		= PRETRAINED_VOCAB_FILES_MAP
						A_			:							List[Any]     		= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




						def __init__(    self :       int							,							UpperCamelCase_ :       Optional[Any]							,							UpperCamelCase_ :       Union[str, Any]=False							,							UpperCamelCase_ :       int=True							,							UpperCamelCase_ :       Union[str, Any]=True							,							UpperCamelCase_ :       List[str]="[CLS]"							,							UpperCamelCase_ :       Optional[Any]="[SEP]"							,							UpperCamelCase_ :       Optional[Any]="[UNK]"							,							UpperCamelCase_ :       str="[SEP]"							,							UpperCamelCase_ :       int="[PAD]"							,							UpperCamelCase_ :       Optional[Any]="[CLS]"							,							UpperCamelCase_ :       List[Any]="[MASK]"							,							**UpperCamelCase_ :       Any							,							)     ->				List[str]:
													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_							,							**UpperCamelCase_							,							)

													SCREAMING_SNAKE_CASE__     :Any						    = do_lower_case
													SCREAMING_SNAKE_CASE__     :Any						    = remove_space
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = keep_accents
													SCREAMING_SNAKE_CASE__     :int						    = vocab_file

													SCREAMING_SNAKE_CASE__     :Tuple						    = spm.SentencePieceProcessor()
													self.sp_model.Load(UpperCamelCase_      )




						@property
						def      __lowerCamelCase       (    self :       Union[str, Any]      )     ->				int:
													return len(self.sp_model      )




						def      __lowerCamelCase       (    self :       int      )     ->				Dict:
													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = {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 :       str      )     ->				List[str]:
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = self.__dict__.copy()
													SCREAMING_SNAKE_CASE__     :int						    = None
													return state




						def __setstate__(    self :       Optional[Any]							,							UpperCamelCase_ :       Any      )     ->				Optional[int]:
													SCREAMING_SNAKE_CASE__     :List[Any]						    = d
													SCREAMING_SNAKE_CASE__     :Union[str, Any]						    = spm.SentencePieceProcessor()
													self.sp_model.Load(self.vocab_file      )




						def      __lowerCamelCase       (    self :       Optional[int]							,							UpperCamelCase_ :       int							,							UpperCamelCase_ :       Union[str, Any]=False      )     ->				Dict:
													SCREAMING_SNAKE_CASE__     :Optional[int]						    = self.sp_model.EncodeAsPieces(UpperCamelCase_      )
													return pieces




						def      __lowerCamelCase       (    self :       str							,							UpperCamelCase_ :       Tuple      )     ->				Tuple:
													return self.sp_model.PieceToId(UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       Optional[int]							,							UpperCamelCase_ :       List[Any]      )     ->				List[Any]:
													return self.sp_model.IdToPiece(UpperCamelCase_      )




						def      __lowerCamelCase       (    self :       Any							,							UpperCamelCase_ :       int      )     ->				Optional[Any]:
													SCREAMING_SNAKE_CASE__     :Optional[Any]						    = self.sp_model.decode_pieces(UpperCamelCase_      )
													return out_string




						def      __lowerCamelCase       (    self :       List[str]							,							UpperCamelCase_ :       List[int]							,							UpperCamelCase_ :       Optional[List[int]] = None      )     ->				Tuple:
													SCREAMING_SNAKE_CASE__     :List[Any]						    = [self.sep_token_id]
													SCREAMING_SNAKE_CASE__     :List[Any]						    = [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 :       Any							,							UpperCamelCase_ :       List[int]							,							UpperCamelCase_ :       Optional[List[int]] = None							,							UpperCamelCase_ :       bool = False      )     ->				str:



													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(UpperCamelCase_      )) + [1] + ([0] * len(UpperCamelCase_      )) + [1]
													return [1] + ([0] * len(UpperCamelCase_      )) + [1]




						def      __lowerCamelCase       (    self :       Union[str, Any]							,							UpperCamelCase_ :       List[int]							,							UpperCamelCase_ :       Optional[List[int]] = None      )     ->				List[Any]:
													SCREAMING_SNAKE_CASE__     :List[Any]						    = [self.sep_token_id]
													SCREAMING_SNAKE_CASE__     :List[str]						    = [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 :       List[Any]							,							UpperCamelCase_ :       str							,							UpperCamelCase_ :       Optional[str] = None      )     ->				Dict:



													if not os.path.isdir(UpperCamelCase_      ):
																				logger.error('Vocabulary path ({}) should be a directory'.format(UpperCamelCase_      )      )
																				return
													SCREAMING_SNAKE_CASE__     :Optional[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_      ):
																				copyfile(self.vocab_file							,							UpperCamelCase_      )

													return (out_vocab_file,)














def       _SCREAMING_SNAKE_CASE    (			__lowercase :      int     )    ->   list[int]:





    """simple docstring"""

    if length <= 0 or not isinstance(__lowercase      ,					__lowercase     ):
        raise ValueError("""Length must be a positive integer."""     )
    return [n * (2 * n - 1) for n in range(__lowercase     )]


if __name__ == "__main__":
  print(hexagonal_numbers(length=5))
  print(hexagonal_numbers(length=10))




