

'''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


UpperCAmelCase					 =	logging.get_logger(__name__)

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

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

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


class 	lowerCAmelCase  (   a__ ):
       lowerCAmelCase_												=			VOCAB_FILES_NAMES
       lowerCAmelCase_												=			PRETRAINED_VOCAB_FILES_MAP
       lowerCAmelCase_												=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES







       def __init__(				self      :			Optional[int]    ,   __lowercase      :			Dict    ,   __lowercase      :			Union[str, Any]=False    ,   __lowercase      :			Tuple=True    ,   __lowercase      :			Optional[Any]=True    ,   __lowercase      :			Tuple="[CLS]"    ,   __lowercase      :			int="[SEP]"    ,   __lowercase      :			int="[UNK]"    ,   __lowercase      :			str="[SEP]"    ,   __lowercase      :			Dict="[PAD]"    ,   __lowercase      :			List[str]="[CLS]"    ,   __lowercase      :			List[str]="[MASK]"    ,   **__lowercase      :			int    ,   ):







            """simple docstring"""







            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_    ,   )

            __lowercase      		=do_lower_case
            __lowercase      		=remove_space
            __lowercase      		=keep_accents
            __lowercase      		=vocab_file

            __lowercase      		=spm.SentencePieceProcessor()
            self.sp_model.Load(lowerCamelCase_   )







       @property
       def       snake_case (				self      :			Any   ):







            """simple docstring"""







            return len(self.sp_model   )







       def       snake_case (				self      :			Dict   ):







            """simple docstring"""







            __lowercase      		={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      :			Union[str, Any]   ):







            """simple docstring"""







            __lowercase      		=self.__dict__.copy()
            __lowercase      		=None
            return state







       def __setstate__(				self      :			Optional[Any]    ,   __lowercase      :			Optional[int]   ):







            """simple docstring"""







            __lowercase      		=d
            __lowercase      		=spm.SentencePieceProcessor()
            self.sp_model.Load(self.vocab_file   )







       def       snake_case (				self      :			int    ,   __lowercase      :			Union[str, Any]    ,   __lowercase      :			Tuple=False   ):







            """simple docstring"""







            __lowercase      		=self.sp_model.EncodeAsPieces(lowerCamelCase_   )
            return pieces







       def       snake_case (				self      :			Union[str, Any]    ,   __lowercase      :			Optional[Any]   ):







            """simple docstring"""







            return self.sp_model.PieceToId(lowerCamelCase_   )







       def       snake_case (				self      :			List[str]    ,   __lowercase      :			List[Any]   ):







            """simple docstring"""







            return self.sp_model.IdToPiece(lowerCamelCase_   )







       def       snake_case (				self      :			int    ,   __lowercase      :			Optional[int]   ):







            """simple docstring"""







            __lowercase      		=self.sp_model.decode_pieces(lowerCamelCase_   )
            return out_string







       def       snake_case (				self      :			List[Any]    ,   __lowercase      :			Union[str, Any]    ,   __lowercase      :			Dict = None   ):







            """simple docstring"""







            __lowercase      		=[self.sep_token_id]
            __lowercase      		=[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      :			int    ,   __lowercase      :			str    ,   __lowercase      :			List[str] = None    ,   __lowercase      :			Tuple = False   ):







            """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(lowerCamelCase_   )) + [1] + ([0] * len(lowerCamelCase_   )) + [1]
            return [1] + ([0] * len(lowerCamelCase_   )) + [1]







       def       snake_case (				self      :			List[str]    ,   __lowercase      :			Any    ,   __lowercase      :			str = None   ):







            """simple docstring"""







            __lowercase      		=[self.sep_token_id]
            __lowercase      		=[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      :			str    ,   __lowercase      :			Optional[Any]    ,   __lowercase      :			str = None   ):







            """simple docstring"""







            if not os.path.isdir(lowerCamelCase_   ):
                 logger.error('Vocabulary path ({}) should be a directory'.format(lowerCamelCase_   )   )
                 return
            __lowercase      		=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 sys

from .dependency_versions_table import deps
from .utils.versions import require_version, require_version_core


# define which module versions we always want to check at run time
# (usually the ones defined in `install_requires` in setup.py)
#
# order specific notes:
# - tqdm must be checked before tokenizers

__UpperCAmelCase       							=				'''python tqdm regex requests packaging filelock numpy tokenizers'''.split()
if sys.version_info < (3, 7):
		pkgs_to_check_at_runtime.append('''dataclasses''')
if sys.version_info < (3, 8):
		pkgs_to_check_at_runtime.append('''importlib_metadata''')

for pkg in pkgs_to_check_at_runtime:
		if pkg in deps:
				if pkg == "tokenizers":
						# must be loaded here, or else tqdm check may fail
						from .utils import is_tokenizers_available

						if not is_tokenizers_available():
								continue  # not required, check version only if installed

				require_version_core(deps[pkg])
		else:
				raise ValueError(f"""can't find {pkg} in {deps.keys()}, check dependency_versions_table.py""")


def    _snake_case  (	A					,       A=None			)		->       Optional[Any]:
							require_version(deps[pkg]					,       A			)