






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

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


if is_sentencepiece_available():
			from .tokenization_rembert import RemBertTokenizer
else:
			lowerCamelCase_					=      None

lowerCamelCase_					=      logging.get_logger(__name__)
lowerCamelCase_					=      {'vocab_file': 'sentencepiece.model', 'tokenizer_file': 'tokenizer.json'}

lowerCamelCase_					=      {
    'vocab_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/sentencepiece.model',
    },
    'tokenizer_file': {
        'google/rembert': 'https://huggingface.co/google/rembert/resolve/main/tokenizer.json',
    },
}

lowerCamelCase_					=      {
    'google/rembert': 256,
}

lowerCamelCase_					=      '▁'







class 			UpperCamelCase_       (a_     ):
	__magic_name__	      =				VOCAB_FILES_NAMES
	__magic_name__	      =				PRETRAINED_VOCAB_FILES_MAP
	__magic_name__	      =				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	__magic_name__	      =				RemBertTokenizer





	def __init__(      self					: Optional[Any]	,	lowerCAmelCase_					: str=None	,	lowerCAmelCase_					: Tuple=None	,	lowerCAmelCase_					: List[str]=True	,	lowerCAmelCase_					: List[str]=True	,	lowerCAmelCase_					: Any=False	,	lowerCAmelCase_					: Optional[Any]="[CLS]"	,	lowerCAmelCase_					: Tuple="[SEP]"	,	lowerCAmelCase_					: List[Any]="<unk>"	,	lowerCAmelCase_					: Tuple="[SEP]"	,	lowerCAmelCase_					: List[str]="<pad>"	,	lowerCAmelCase_					: Optional[Any]="[CLS]"	,	lowerCAmelCase_					: Dict="[MASK]"	,	**lowerCAmelCase_					: Tuple	,	)						->			Optional[Any]:
				# Mask token behave like a normal word, i.e. include the space before it
				UpperCAmelCase_     : Optional[Any]			     =					AddedToken(_lowerCamelCase	,	lstrip=_lowerCamelCase	,	rstrip=_lowerCamelCase						) if isinstance(_lowerCamelCase	,	_lowerCamelCase						) else mask_token

				super().__init__(
				    _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	,	**_lowerCamelCase	,	)

				UpperCAmelCase_     : List[str]			     =					do_lower_case
				UpperCAmelCase_     : List[str]			     =					remove_space
				UpperCAmelCase_     : int			     =					keep_accents
				UpperCAmelCase_     : int			     =					vocab_file
				UpperCAmelCase_     : Any			     =					False if not self.vocab_file else True





	def      _SCREAMING_SNAKE_CASE      (      self					: Union[str, Any]	,	lowerCAmelCase_					: str	,	lowerCAmelCase_					: Optional[int] = None						)						->			List[Any]:
				UpperCAmelCase_     : Tuple			     =					[self.sep_token_id]
				UpperCAmelCase_     : List[str]			     =					[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      _SCREAMING_SNAKE_CASE      (      self					: Dict	,	lowerCAmelCase_					: Tuple	,	lowerCAmelCase_					: List[Any] = None	,	lowerCAmelCase_					: str = False						)						->			Any:

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





	def      _SCREAMING_SNAKE_CASE      (      self					: Optional[int]	,	lowerCAmelCase_					: Dict	,	lowerCAmelCase_					: Any = None						)						->			List[Any]:
				UpperCAmelCase_     : Optional[Any]			     =					[self.sep_token_id]
				UpperCAmelCase_     : 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      _SCREAMING_SNAKE_CASE      (      self					: Optional[int]	,	lowerCAmelCase_					: List[str]	,	lowerCAmelCase_					: Dict = None						)						->			List[str]:
				if not os.path.isdir(_lowerCamelCase						):
							logger.error("Vocabulary path ({}) should be a directory".format(_lowerCamelCase						)						)
							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						):
							copyfile(self.vocab_file	,	_lowerCamelCase						)

				return (out_vocab_file,)











"""simple docstring"""



def 						_SCREAMING_SNAKE_CASE (    __snake_case			:  int = 1_00    ):





  '''simple docstring'''





  lowercase							    =       0
  lowercase							    =       0
  for i in range(1		,					n + 1    ):
    sum_of_squares += i**2
    sum_of_ints += i
  return sum_of_ints**2 - sum_of_squares


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


