






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


lowercase    				=   logging.get_logger(__name__)

lowercase    				=   {'''vocab_file''': '''sentencepiece.model'''}

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

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




class 					UpperCamelCase_ (     a_							):



	'''simple docstring'''




	lowerCAmelCase						=					VOCAB_FILES_NAMES
	lowerCAmelCase						=					PRETRAINED_VOCAB_FILES_MAP
	lowerCAmelCase						=					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:
								super().__init__(
								    do_lower_case=lowercase_			,     remove_space=lowercase_			,     keep_accents=lowercase_			,     bos_token=lowercase_			,     eos_token=lowercase_			,     unk_token=lowercase_			,     sep_token=lowercase_			,     pad_token=lowercase_			,     cls_token=lowercase_			,     mask_token=lowercase_			,     **lowercase_			,     )

								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(lowercase_   )




	@property
	def 				_UpperCamelCase     (			self   )			->       Any:
								return len(self.sp_model   )




	def 				_UpperCamelCase     (			self   )			->       List[str]:
								snake_case_           =				{self.convert_ids_to_tokens(lowercase_   ): i for i in range(self.vocab_size   )}
								vocab.update(self.added_tokens_encoder   )
								return vocab




	def __getstate__(			self   )			->       List[Any]:
								snake_case_           =				self.__dict__.copy()
								snake_case_           =				None
								return state




	def __setstate__(			self			,     a   )			->       Tuple:
								snake_case_           =				d
								snake_case_           =				spm.SentencePieceProcessor()
								self.sp_model.Load(self.vocab_file   )




	def 				_UpperCamelCase     (			self			,     a			,     a=False   )			->       Union[str, Any]:
								snake_case_           =				self.sp_model.EncodeAsPieces(lowercase_   )
								return pieces




	def 				_UpperCamelCase     (			self			,     a   )			->       str:
								return self.sp_model.PieceToId(lowercase_   )




	def 				_UpperCamelCase     (			self			,     a   )			->       List[Any]:
								return self.sp_model.IdToPiece(lowercase_   )




	def 				_UpperCamelCase     (			self			,     a   )			->       List[Any]:
								snake_case_           =				self.sp_model.decode_pieces(lowercase_   )
								return out_string




	def 				_UpperCamelCase     (			self			,     a			,     a = None   )			->       Dict:
								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 				_UpperCamelCase     (			self			,     a			,     a = None			,     a = False   )			->       Optional[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(lowercase_   )) + [1] + ([0] * len(lowercase_   )) + [1]
								return [1] + ([0] * len(lowercase_   )) + [1]




	def 				_UpperCamelCase     (			self			,     a			,     a = None   )			->       List[Any]:
								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 				_UpperCamelCase     (			self			,     a			,     a = None   )			->       Optional[Any]:
								if not os.path.isdir(lowercase_   ):
															logger.error('Vocabulary path ({}) should be a directory'.format(lowercase_   )   )
															return
								snake_case_           =				os.path.join(
								    lowercase_			,     (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']   )

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

								return (out_vocab_file,)








"""simple docstring"""





def     __SCREAMING_SNAKE_CASE    ( A_		,	A_					):
	if number < 0 or shift_amount < 0:
		raise ValueError('''both inputs must be positive integers'''					)

	lowerCAmelCase__      :		int    							=      str(bin(A_					)					)
	binary_number += "0" * shift_amount
	return binary_number

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_					):
	if number < 0 or shift_amount < 0:
		raise ValueError('''both inputs must be positive integers'''					)

	lowerCAmelCase__      :		Any    							=      str(bin(A_					)					)[2:]
	if shift_amount >= len(A_					):
		return "0b0"
	lowerCAmelCase__      :		Tuple    							=      binary_number[: len(A_					) - shift_amount]
	return "0b" + shifted_binary_number

def     __SCREAMING_SNAKE_CASE    ( A_		,	A_					):
	if number >= 0:  # Get binary representation of positive number
		lowerCAmelCase__      :		Union[str, Any]    							=      '''0''' + str(bin(A_					)					).strip('''-'''					)[2:]
	else:  # Get binary (2's complement) representation of negative number
		lowerCAmelCase__      :		Optional[Any]    							=      len(bin(A_					)[3:]					)  # Find 2's complement of number
		lowerCAmelCase__      :		Optional[int]    							=      bin(abs(A_					) - (1 << binary_number_length)					)[3:]
		lowerCAmelCase__      :		int    							=      (
		    '''1''' + '''0''' * (binary_number_length - len(A_					)) + binary_number
		)

	if shift_amount >= len(A_					):
		return "0b" + binary_number[0] * len(A_					)
	return (
	    "0b"
	    + binary_number[0] * shift_amount
	    + binary_number[: len(A_					) - shift_amount]
	)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




