




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      :  Any      						=						None

_lowerCamelCase      :  Optional[Any]      						=						logging.get_logger(__name__)
_lowerCamelCase      :  str      						=						{"vocab_file": "sentencepiece.model", "tokenizer_file": "tokenizer.json"}

_lowerCamelCase      :  Dict      						=						{
    "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      :  Union[str, Any]      						=						{
    "google/rembert": 2_5_6,
}

_lowerCamelCase      :  Tuple      						=						"▁"
class        __snake_case  (_a		):
				lowerCAmelCase__				=     VOCAB_FILES_NAMES
				lowerCAmelCase__				=     PRETRAINED_VOCAB_FILES_MAP
				lowerCAmelCase__				=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCAmelCase__				=     RemBertTokenizer



				def __init__(      self      :		Union[str, Any]		,	_UpperCAmelCase      :		str=None		,	_UpperCAmelCase      :		Optional[int]=None		,	_UpperCAmelCase      :		List[Any]=True		,	_UpperCAmelCase      :		Any=True		,	_UpperCAmelCase      :		List[Any]=False		,	_UpperCAmelCase      :		Tuple="[CLS]"		,	_UpperCAmelCase      :		List[Any]="[SEP]"		,	_UpperCAmelCase      :		Optional[Any]="<unk>"		,	_UpperCAmelCase      :		List[Any]="[SEP]"		,	_UpperCAmelCase      :		Optional[Any]="<pad>"		,	_UpperCAmelCase      :		Union[str, Any]="[CLS]"		,	_UpperCAmelCase      :		Dict="[MASK]"		,	**_UpperCAmelCase      :		str		,	)  ->    int:





								'''simple docstring'''




								_lowerCAmelCase    :    List[Any]										=      AddedToken(_UpperCAmelCase		,	lstrip=_UpperCAmelCase		,	rstrip=_UpperCAmelCase      ) if isinstance(_UpperCAmelCase		,	_UpperCAmelCase      ) else mask_token

								super().__init__(
								    _UpperCAmelCase		,	tokenizer_file=_UpperCAmelCase		,	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		,	)

								_lowerCAmelCase    :    str										=      do_lower_case
								_lowerCAmelCase    :    List[str]										=      remove_space
								_lowerCAmelCase    :    str										=      keep_accents
								_lowerCAmelCase    :    Optional[int]										=      vocab_file
								_lowerCAmelCase    :    Tuple										=      False if not self.vocab_file else True



				def       SCREAMING_SNAKE_CASE       (      self      :		List[Any]		,	_UpperCAmelCase      :		List[int]		,	_UpperCAmelCase      :		Optional[List[int]] = None      )  ->    List[int]:





								'''simple docstring'''




								_lowerCAmelCase    :    int										=      [self.sep_token_id]
								_lowerCAmelCase    :    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       SCREAMING_SNAKE_CASE       (      self      :		List[str]		,	_UpperCAmelCase      :		List[int]		,	_UpperCAmelCase      :		Optional[List[int]] = None		,	_UpperCAmelCase      :		bool = 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(_UpperCAmelCase      )) + [1] + ([0] * len(_UpperCAmelCase      )) + [1]
								return [1] + ([0] * len(_UpperCAmelCase      )) + [1]



				def       SCREAMING_SNAKE_CASE       (      self      :		Dict		,	_UpperCAmelCase      :		List[int]		,	_UpperCAmelCase      :		Optional[List[int]] = None      )  ->    List[int]:





								'''simple docstring'''




								_lowerCAmelCase    :    List[str]										=      [self.sep_token_id]
								_lowerCAmelCase    :    Tuple										=      [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[Any]		,	_UpperCAmelCase      :		str		,	_UpperCAmelCase      :		Optional[str] = None      )  ->    Tuple[str]:





								'''simple docstring'''




								if not os.path.isdir(_UpperCAmelCase      ):
												logger.error("""Vocabulary path ({}) should be a directory""".format(_UpperCAmelCase      )      )
												return
								_lowerCAmelCase    :    int										=      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 							_UpperCAmelCase  (UpperCamelCase_ : int       ):
				'''simple docstring'''
				_lowerCAmelCase    :    int										=      n ** (1 / 3)
				return (val * val * val) == n


if __name__ == "__main__":
	print(perfect_cube(2_7))
	print(perfect_cube(4))

