





import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_bart import BartTokenizer


_snake_case           =			logging.get_logger(__name__)


_snake_case           =			{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

# See all BART models at https://huggingface.co/models?filter=bart
_snake_case           =			{
    """vocab_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/vocab.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/vocab.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json""",
    },
    """merges_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/merges.txt""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/merges.txt""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt""",
    },
    """tokenizer_file""": {
        """facebook/bart-base""": """https://huggingface.co/facebook/bart-base/resolve/main/tokenizer.json""",
        """facebook/bart-large""": """https://huggingface.co/facebook/bart-large/resolve/main/tokenizer.json""",
        """facebook/bart-large-mnli""": """https://huggingface.co/facebook/bart-large-mnli/resolve/main/tokenizer.json""",
        """facebook/bart-large-cnn""": """https://huggingface.co/facebook/bart-large-cnn/resolve/main/tokenizer.json""",
        """facebook/bart-large-xsum""": """https://huggingface.co/facebook/bart-large-xsum/resolve/main/tokenizer.json""",
        """yjernite/bart_eli5""": """https://huggingface.co/yjernite/bart_eli5/resolve/main/tokenizer.json""",
    },
}

_snake_case           =			{
    """facebook/bart-base""": 1024,
    """facebook/bart-large""": 1024,
    """facebook/bart-large-mnli""": 1024,
    """facebook/bart-large-cnn""": 1024,
    """facebook/bart-large-xsum""": 1024,
    """yjernite/bart_eli5""": 1024,
}





class  lowerCAmelCase							(       lowercase_ ):
  __lowerCamelCase		=      VOCAB_FILES_NAMES
  __lowerCamelCase		=      PRETRAINED_VOCAB_FILES_MAP
  __lowerCamelCase		=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  __lowerCamelCase		=      ['input_ids', 'attention_mask']
  __lowerCamelCase		=      BartTokenizer







  def __init__(      self  :Any   ,							_lowercase  :str=None   ,							_lowercase  :int=None   ,							_lowercase  :Dict=None   ,							_lowercase  :Dict="replace"   ,							_lowercase  :List[str]="<s>"   ,							_lowercase  :Optional[Any]="</s>"   ,							_lowercase  :str="</s>"   ,							_lowercase  :List[str]="<s>"   ,							_lowercase  :List[Any]="<unk>"   ,							_lowercase  :Tuple="<pad>"   ,							_lowercase  :str="<mask>"   ,							_lowercase  :Tuple=False   ,							_lowercase  :Dict=True   ,							**_lowercase  :List[str]   ,							):






     '''simple docstring'''





     super().__init__(
         _lowercase   ,							_lowercase   ,							tokenizer_file=_lowercase   ,							errors=_lowercase   ,							bos_token=_lowercase   ,							eos_token=_lowercase   ,							sep_token=_lowercase   ,							cls_token=_lowercase   ,							unk_token=_lowercase   ,							pad_token=_lowercase   ,							mask_token=_lowercase   ,							add_prefix_space=_lowercase   ,							trim_offsets=_lowercase   ,							**_lowercase   ,							)

     lowercase__			       =  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
     if pre_tok_state.get("add_prefix_space"   ,							_lowercase ) != add_prefix_space:
        lowercase__			       =  getattr(_lowercase   ,							pre_tok_state.pop("type" ) )
        lowercase__			       =  add_prefix_space
        lowercase__			       =  pre_tok_class(**_lowercase )

     lowercase__			       =  add_prefix_space

     # the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
     lowercase__			       =  "post_processor"
     lowercase__			       =  getattr(self.backend_tokenizer   ,							_lowercase   ,							_lowercase )
     if tokenizer_component_instance:
        lowercase__			       =  json.loads(tokenizer_component_instance.__getstate__() )

        # The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
        if "sep" in state:
           lowercase__			       =  tuple(state["sep"] )
        if "cls" in state:
           lowercase__			       =  tuple(state["cls"] )

        lowercase__			       =  False

        if state.get("add_prefix_space"   ,							_lowercase ) != add_prefix_space:
           lowercase__			       =  add_prefix_space
           lowercase__			       =  True

        if state.get("trim_offsets"   ,							_lowercase ) != trim_offsets:
           lowercase__			       =  trim_offsets
           lowercase__			       =  True

        if changes_to_apply:
           lowercase__			       =  getattr(_lowercase   ,							state.pop("type" ) )
           lowercase__			       =  component_class(**_lowercase )
           setattr(self.backend_tokenizer   ,							_lowercase   ,							_lowercase )







  @property
  def   UpperCAmelCase					(      self  :Any ):






     '''simple docstring'''





     if self._mask_token is None:
        if self.verbose:
           logger.error("Using mask_token, but it is not set yet." )
        return None
     return str(self._mask_token )







  @mask_token.setter
  def   UpperCAmelCase					(      self  :Any   ,							_lowercase  :Tuple ):






     '''simple docstring'''





     lowercase__			       =  AddedToken(_lowercase   ,							lstrip=_lowercase   ,							rstrip=_lowercase ) if isinstance(_lowercase   ,							_lowercase ) else value
     lowercase__			       =  value







  def   UpperCAmelCase					(      self  :Optional[Any]   ,							*_lowercase  :Optional[Any]   ,							**_lowercase  :Optional[Any] ):






     '''simple docstring'''





     lowercase__			       =  kwargs.get("is_split_into_words"   ,							_lowercase )

     if is_split_into_words and not self.add_prefix_space:
        raise ValueError(
            f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
            "to use it with pretokenized inputs." )

     return super()._batch_encode_plus(*_lowercase   ,							**_lowercase )







  def   UpperCAmelCase					(      self  :Optional[Any]   ,							*_lowercase  :str   ,							**_lowercase  :List[Any] ):






     '''simple docstring'''





     lowercase__			       =  kwargs.get("is_split_into_words"   ,							_lowercase )

     if is_split_into_words and not self.add_prefix_space:
        raise ValueError(
            f'''You need to instantiate {self.__class__.__name__} with add_prefix_space=True '''
            "to use it with pretokenized inputs." )

     return super()._encode_plus(*_lowercase   ,							**_lowercase )







  def   UpperCAmelCase					(      self  :Dict   ,							_lowercase  :str   ,							_lowercase  :Optional[str] = None ):






     '''simple docstring'''





     lowercase__			       =  self._tokenizer.model.save(_lowercase   ,							name=_lowercase )
     return tuple(_lowercase )







  def   UpperCAmelCase					(      self  :Tuple   ,							_lowercase  :Optional[int]   ,							_lowercase  :Dict=None ):






     '''simple docstring'''





     lowercase__			       =  [self.bos_token_id] + token_ids_a + [self.eos_token_id]
     if token_ids_a is None:
        return output

     return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]







  def   UpperCAmelCase					(      self  :List[str]   ,							_lowercase  :List[int]   ,							_lowercase  :Optional[List[int]] = 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 + sep + token_ids_a + sep ) * [0]













from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments


def _A       (   ):
   lowercase__			       =  HfArgumentParser(__magic_name__	)
   lowercase__			       =  parser.parse_args_into_dataclasses()[0]
   lowercase__			       =  TensorFlowBenchmark(args=__magic_name__	)
   try:
      lowercase__			       =  parser.parse_args_into_dataclasses()[0]
   except ValueError as e:
      lowercase__			       =  "Arg --no_{0} is no longer used, please use --no-{0} instead."
      lowercase__			       =  " ".join(str(__magic_name__	).split(" "	)[:-1]	)
      lowercase__			       =  ""
      lowercase__			       =  eval(str(__magic_name__	).split(" "	)[-1]	)
      lowercase__			       =  []
      for arg in depreciated_args:
         # arg[2:] removes '--'
         if arg[2:] in TensorFlowBenchmark.deprecated_args:
            # arg[5:] removes '--no_'
            full_error_msg += arg_error_msg.format(arg[5:]	)
         else:
            wrong_args.append(__magic_name__	)
      if len(__magic_name__	) > 0:
         lowercase__			       =  full_error_msg + begin_error_msg + str(__magic_name__	)
      raise ValueError(__magic_name__	)
   benchmark.run()


if __name__ == "__main__":
  main()






