





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:
			__UpperCamelCase:	int = None

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

__UpperCamelCase:	Optional[int] = {
    "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",
    },
}

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

__UpperCamelCase:	List[Any] = "▁"


class       __lowerCAmelCase					(       _UpperCamelCase      ):


	'''simple docstring'''





	_A													=				VOCAB_FILES_NAMES
	_A													=				PRETRAINED_VOCAB_FILES_MAP
	_A													=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_A													=				RemBertTokenizer

	def __init__(						self:						int,					lowerCamelCase_:						Any=None,					lowerCamelCase_:						Optional[Any]=None,					lowerCamelCase_:						Optional[int]=True,					lowerCamelCase_:						Any=True,					lowerCamelCase_:						Any=False,					lowerCamelCase_:						Dict="[CLS]",					lowerCamelCase_:						List[str]="[SEP]",					lowerCamelCase_:						List[str]="<unk>",					lowerCamelCase_:						Union[str, Any]="[SEP]",					lowerCamelCase_:						List[Any]="<pad>",					lowerCamelCase_:						Tuple="[CLS]",					lowerCamelCase_:						str="[MASK]",					**lowerCamelCase_:						Union[str, Any],					):
			lowercase__					:      Optional[int]      =		AddedToken(snake_case__,					lstrip=snake_case__,					rstrip=snake_case__			) if isinstance(snake_case__,					snake_case__			) else mask_token

			super().__init__(
			    snake_case__,					tokenizer_file=snake_case__,					do_lower_case=snake_case__,					remove_space=snake_case__,					keep_accents=snake_case__,					bos_token=snake_case__,					eos_token=snake_case__,					unk_token=snake_case__,					sep_token=snake_case__,					pad_token=snake_case__,					cls_token=snake_case__,					mask_token=snake_case__,					**snake_case__,					)

			lowercase__					:      Optional[Any]      =		do_lower_case
			lowercase__					:      Tuple      =		remove_space
			lowercase__					:      List[str]      =		keep_accents
			lowercase__					:      str      =		vocab_file
			lowercase__					:      Dict      =		False if not self.vocab_file else True

	def    snake_case__(						self:						Tuple,					lowerCamelCase_:						List[int],					lowerCamelCase_:						Optional[List[int]] = None			):
			lowercase__					:      str      =		[self.sep_token_id]
			lowercase__					:      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    snake_case__(						self:						Tuple,					lowerCamelCase_:						List[int],					lowerCamelCase_:						Optional[List[int]] = None,					lowerCamelCase_:						bool = False			):






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

	def    snake_case__(						self:						int,					lowerCamelCase_:						List[int],					lowerCamelCase_:						Optional[List[int]] = None			):
			lowercase__					:      Tuple      =		[self.sep_token_id]
			lowercase__					:      int      =		[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    snake_case__(						self:						Dict,					lowerCamelCase_:						str,					lowerCamelCase_:						Optional[str] = None			):






			if not os.path.isdir(snake_case__			):
					logger.error('Vocabulary path ({}) should be a directory'.format(snake_case__			)			)
					return
			lowercase__					:      Tuple      =		os.path.join(
			    snake_case__,					(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']			)

			if os.path.abspath(self.vocab_file			) != os.path.abspath(snake_case__			):
					copyfile(self.vocab_file,					snake_case__			)

			return (out_vocab_file,)





import baseaa


def 							__lowerCAmelCase     (							_UpperCamelCase		:	str						)		->				bytes:
 '''simple docstring'''


 return baseaa.aaaencode(string.encode('utf-8'						)						)


def 							__lowerCAmelCase     (							_UpperCamelCase		:	bytes						)		->				str:
 '''simple docstring'''


 return baseaa.aaadecode(_UpperCamelCase						).decode('utf-8'						)


if __name__ == "__main__":
      import doctest

      doctest.testmod()

