






from typing import Optional, Union

from ...file_utils import TensorType
from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding, PaddingStrategy, TruncationStrategy




class        _lowerCAmelCase( __UpperCAmelCase      ):





       """simple docstring"""







       a       :	Optional[int]								='''MarkupLMFeatureExtractor'''
       a       :	Any								=('''MarkupLMTokenizer''', '''MarkupLMTokenizerFast''')
       a       :	Optional[int]								=True





       def __call__(      self						,    _lowerCamelCase=None						,    _lowerCamelCase=None						,    _lowerCamelCase=None						,    _lowerCamelCase=None						,    _lowerCamelCase=None						,    _lowerCamelCase = True						,    _lowerCamelCase = False						,    _lowerCamelCase = None						,    _lowerCamelCase = None						,    _lowerCamelCase = 0						,    _lowerCamelCase = None						,    _lowerCamelCase = None						,    _lowerCamelCase = None						,    _lowerCamelCase = False						,    _lowerCamelCase = False						,    _lowerCamelCase = False						,    _lowerCamelCase = False						,    _lowerCamelCase = True						,    _lowerCamelCase = None						,    **_lowerCamelCase						,    ):

         if self.parse_html:
           if html_strings is None:
             raise ValueError('Make sure to pass HTML strings in case `parse_html` is set to `True`'							)

           if nodes is not None or xpaths is not None or node_labels is not None:
             raise ValueError(
                 'Please don\'t pass nodes, xpaths nor node labels in case `parse_html` is set to `True`'							)

           UpperCamelCase_:      int					   =       self.feature_extractor(lowercase_							)
           UpperCamelCase_:      Union[str, Any]					   =       features['''nodes''']
           UpperCamelCase_:      Dict					   =       features['''xpaths''']
         else:
           if html_strings is not None:
             raise ValueError('You have passed HTML strings but `parse_html` is set to `False`.'							)
           if nodes is None or xpaths is None:
             raise ValueError('Make sure to pass nodes and xpaths in case `parse_html` is set to `False`'							)

        # # second, apply the tokenizer
         if questions is not None and self.parse_html:
           if isinstance(lowercase_						,    lowercase_							):
             UpperCamelCase_:      Dict					   =       [questions]  # add batch dimension (as the feature extractor always adds a batch dimension)

         UpperCamelCase_:      Union[str, Any]					   =       self.tokenizer(
             text=questions if questions is not None else nodes						,    text_pair=nodes if questions is not None else None						,    xpaths=lowercase_						,    node_labels=lowercase_						,    add_special_tokens=lowercase_						,    padding=lowercase_						,    truncation=lowercase_						,    max_length=lowercase_						,    stride=lowercase_						,    pad_to_multiple_of=lowercase_						,    return_token_type_ids=lowercase_						,    return_attention_mask=lowercase_						,    return_overflowing_tokens=lowercase_						,    return_special_tokens_mask=lowercase_						,    return_offsets_mapping=lowercase_						,    return_length=lowercase_						,    verbose=lowercase_						,    return_tensors=lowercase_						,    **lowercase_						,    )

         return encoded_inputs





       def     _a					(      self						,    *_lowerCamelCase						,    **_lowerCamelCase							):
         return self.tokenizer.batch_decode(*lowercase_						,    **lowercase_							)





       def     _a					(      self						,    *_lowerCamelCase						,    **_lowerCamelCase							):
         return self.tokenizer.decode(*lowercase_						,    **lowercase_							)





       @property
       def     _a					(      self							):
         UpperCamelCase_:      Optional[int]					   =       self.tokenizer.model_input_names
         return tokenizer_input_names







def 						snake_case      (UpperCAmelCase__ = 4_0_0_0_0_0_0						) ->       int:

  if n <= 1:
    return 0
  UpperCamelCase_:      Dict					   =       0
  UpperCamelCase_:      Union[str, Any]					   =       2
  UpperCamelCase_:      int					   =       0
  while 4 * b + a <= n:
    UpperCamelCase_   ,UpperCamelCase_:      List[str]					   =       b, 4 * b + a
    count += a
  return count + b


if __name__ == "__main__":
   print(F'''{solution() = }''')