






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:
 __snake_case												=  None

__snake_case												=  logging.get_logger(__name__)
__snake_case												=  {"""vocab_file""": """sentencepiece.model""", """tokenizer_file""": """tokenizer.json"""}

__snake_case												=  {
    """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""",
    },
}

__snake_case												=  {
    """google/rembert""": 2_56,
}

__snake_case												=  """▁"""







class 			UpperCAmelCase_						(					lowercase_ ):



      """simple docstring"""
      UpperCamelCase_				:					List[Any]           =VOCAB_FILES_NAMES
      UpperCamelCase_				:					Tuple           =PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase_				:					List[Any]           =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase_				:					Union[str, Any]           =RemBertTokenizer
      def __init__(				self    ,				SCREAMING_SNAKE_CASE_=None    ,				SCREAMING_SNAKE_CASE_=None    ,				SCREAMING_SNAKE_CASE_=True    ,				SCREAMING_SNAKE_CASE_=True    ,				SCREAMING_SNAKE_CASE_=False    ,				SCREAMING_SNAKE_CASE_="[CLS]"    ,				SCREAMING_SNAKE_CASE_="[SEP]"    ,				SCREAMING_SNAKE_CASE_="<unk>"    ,				SCREAMING_SNAKE_CASE_="[SEP]"    ,				SCREAMING_SNAKE_CASE_="<pad>"    ,				SCREAMING_SNAKE_CASE_="[CLS]"    ,				SCREAMING_SNAKE_CASE_="[MASK]"    ,				**SCREAMING_SNAKE_CASE_    ,				)				->      Optional[Any]:
          # Mask token behave like a normal word, i.e. include the space before it
          UpperCamelCase       :Optional[int]								=   AddedToken(SCREAMING_SNAKE_CASE_    ,				lstrip=SCREAMING_SNAKE_CASE_    ,				rstrip=SCREAMING_SNAKE_CASE_ ) if isinstance(SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_ ) else mask_token

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

          UpperCamelCase       :List[Any]								=   do_lower_case
          UpperCamelCase       :List[Any]								=   remove_space
          UpperCamelCase       :List[str]								=   keep_accents
          UpperCamelCase       :Optional[int]								=   vocab_file
          UpperCamelCase       :Union[str, Any]								=   False if not self.vocab_file else True
      def     UpperCAmelCase						(				self    ,				SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_ = None )				->      Tuple:
          UpperCamelCase       :List[Any]								=   [self.sep_token_id]
          UpperCamelCase       :Optional[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     UpperCAmelCase						(				self    ,				SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_ = None    ,				SCREAMING_SNAKE_CASE_ = 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(SCREAMING_SNAKE_CASE_ )) + [1] + ([0] * len(SCREAMING_SNAKE_CASE_ )) + [1]
          return [1] + ([0] * len(SCREAMING_SNAKE_CASE_ )) + [1]
      def     UpperCAmelCase						(				self    ,				SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_ = None )				->      List[Any]:
          UpperCamelCase       :Optional[int]								=   [self.sep_token_id]
          UpperCamelCase       :Any								=   [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    ,				SCREAMING_SNAKE_CASE_    ,				SCREAMING_SNAKE_CASE_ = None )				->      Optional[Any]:
          if not os.path.isdir(SCREAMING_SNAKE_CASE_ ):
              logger.error('''Vocabulary path ({}) should be a directory'''.format(SCREAMING_SNAKE_CASE_ ) )
              return
          UpperCamelCase       :Dict								=   os.path.join(
              SCREAMING_SNAKE_CASE_    ,				(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''] )

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

          return (out_vocab_file,)










"""simple docstring"""







from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate







@dataclass(frozen=lowercase_  )
class       UpperCamelCase__   (	lowercase_  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE  				=     field(default="""summarization""",					metadata={"""include_in_asdict_even_if_is_default""": True}  )
      _SCREAMING_SNAKE_CASE  				=     Features({"""text""": Value("""string"""  )}  )
      _SCREAMING_SNAKE_CASE  				=     Features({"""summary""": Value("""string"""  )}  )
      _SCREAMING_SNAKE_CASE  				=     "text"
      _SCREAMING_SNAKE_CASE  				=     "summary"



      @property
      def      SCREAMING_SNAKE_CASE__ (      self				:      Dict       ):
        return {self.text_column: "text", self.summary_column: "summary"}





