"""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


lowerCAmelCase__						:						str		  =			logging.get_logger(__name__)

lowerCAmelCase__						:						Dict		  =			{'vocab_file': 'sentencepiece.model'}

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

lowerCAmelCase__						:						str		  =			{
    'google/rembert': 256,
}
class        snake_case (				__UpperCAmelCase       ):




     """simple docstring"""

     snake_case__       					=				VOCAB_FILES_NAMES
     snake_case__       					=				PRETRAINED_VOCAB_FILES_MAP
     snake_case__       					=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







     def __init__(       self     :			List[str]					,lowerCamelCase__     :			Optional[int]					,lowerCamelCase__     :			Tuple=False					,lowerCamelCase__     :			Dict=True					,lowerCamelCase__     :			Optional[int]=True					,lowerCamelCase__     :			List[str]="[CLS]"					,lowerCamelCase__     :			Optional[Any]="[SEP]"					,lowerCamelCase__     :			int="[UNK]"					,lowerCamelCase__     :			List[str]="[SEP]"					,lowerCamelCase__     :			Union[str, Any]="[PAD]"					,lowerCamelCase__     :			Union[str, Any]="[CLS]"					,lowerCamelCase__     :			Any="[MASK]"					,**lowerCamelCase__     :			Union[str, Any]					,):
         super().__init__(
             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__    =							do_lower_case
         UpperCAmelCase__    =							remove_space
         UpperCAmelCase__    =							keep_accents
         UpperCAmelCase__    =							vocab_file

         UpperCAmelCase__    =							spm.SentencePieceProcessor()
         self.sp_model.Load(lowerCamelCase__    )







     @property
     def 	__lowerCAmelCase		(       self     :			Tuple    ):
         return len(self.sp_model    )







     def 	__lowerCAmelCase		(       self     :			Dict    ):
         UpperCAmelCase__    =							{self.convert_ids_to_tokens(lowerCamelCase__    ): i for i in range(self.vocab_size    )}
         vocab.update(self.added_tokens_encoder    )
         return vocab







     def __getstate__(       self     :			List[str]    ):
         UpperCAmelCase__    =							self.__dict__.copy()
         UpperCAmelCase__    =							None
         return state







     def __setstate__(       self     :			Dict					,lowerCamelCase__     :			Optional[Any]    ):
         UpperCAmelCase__    =							d
         UpperCAmelCase__    =							spm.SentencePieceProcessor()
         self.sp_model.Load(self.vocab_file    )







     def 	__lowerCAmelCase		(       self     :			Union[str, Any]					,lowerCamelCase__     :			int					,lowerCamelCase__     :			Tuple=False    ):
         UpperCAmelCase__    =							self.sp_model.EncodeAsPieces(lowerCamelCase__    )
         return pieces







     def 	__lowerCAmelCase		(       self     :			int					,lowerCamelCase__     :			List[str]    ):
         return self.sp_model.PieceToId(lowerCamelCase__    )







     def 	__lowerCAmelCase		(       self     :			List[Any]					,lowerCamelCase__     :			str    ):
         return self.sp_model.IdToPiece(lowerCamelCase__    )







     def 	__lowerCAmelCase		(       self     :			Optional[Any]					,lowerCamelCase__     :			List[Any]    ):
         UpperCAmelCase__    =							self.sp_model.decode_pieces(lowerCamelCase__    )
         return out_string







     def 	__lowerCAmelCase		(       self     :			Dict					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = None    ):
         UpperCAmelCase__    =							[self.sep_token_id]
         UpperCAmelCase__    =							[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     :			Optional[int]					,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(lowerCamelCase__    )) + [1] + ([0] * len(lowerCamelCase__    )) + [1]
         return [1] + ([0] * len(lowerCamelCase__    )) + [1]







     def 	__lowerCAmelCase		(       self     :			Tuple					,lowerCamelCase__     :			List[int]					,lowerCamelCase__     :			Optional[List[int]] = None    ):
         UpperCAmelCase__    =							[self.sep_token_id]
         UpperCAmelCase__    =							[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     :			Optional[Any]					,lowerCamelCase__     :			str					,lowerCamelCase__     :			Optional[str] = None    ):
         if not os.path.isdir(lowerCamelCase__    ):
             logger.error('Vocabulary path ({}) should be a directory'.format(lowerCamelCase__    )    )
             return
         UpperCAmelCase__    =							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"""






import os
import sys
from contextlib import contextmanager


# Windows only
if os.name == "nt":
						import ctypes
						import msvcrt  # noqa
						class        snake_case (				ctypes.Structure       ):




											"""simple docstring"""

											snake_case__       					=				[("size", ctypes.c_int), ("visible", ctypes.c_byte)]



def 						a_		(      ):
				if os.name == "nt":
								UpperCAmelCase__    =							CursorInfo()
								UpperCAmelCase__    =							ctypes.windll.kernelaa.GetStdHandle(-1_1 )
								ctypes.windll.kernelaa.GetConsoleCursorInfo(lowerCamelCase      ,    ctypes.byref(lowerCamelCase ) )
								UpperCAmelCase__    =							False
								ctypes.windll.kernelaa.SetConsoleCursorInfo(lowerCamelCase      ,    ctypes.byref(lowerCamelCase ) )
				elif os.name == "posix":
								sys.stdout.write('\033[?25l' )
								sys.stdout.flush()



def 						a_		(      ):
				if os.name == "nt":
								UpperCAmelCase__    =							CursorInfo()
								UpperCAmelCase__    =							ctypes.windll.kernelaa.GetStdHandle(-1_1 )
								ctypes.windll.kernelaa.GetConsoleCursorInfo(lowerCamelCase      ,    ctypes.byref(lowerCamelCase ) )
								UpperCAmelCase__    =							True
								ctypes.windll.kernelaa.SetConsoleCursorInfo(lowerCamelCase      ,    ctypes.byref(lowerCamelCase ) )
				elif os.name == "posix":
								sys.stdout.write('\033[?25h' )
								sys.stdout.flush()







@contextmanager
def 						a_		(      ):
				try:
								hide_cursor()
								yield
				finally:
								show_cursor()



