



'''simple docstring'''


from typing import Optional, Union

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







class 						UpperCAmelCase						(		__a):


 '''simple docstring'''




 __magic_name__       :			str	=   "MarkupLMFeatureExtractor"
 __magic_name__       :			Union[str, Any]	=   ("MarkupLMTokenizer", "MarkupLMTokenizerFast")
 __magic_name__       :			List[str]	=   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_				,	)			->   Optional[int]:



      """simple docstring"""







      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`")

           a_									=self.feature_extractor(lowerCAmelCase_)
           a_									=features['nodes']
           a_									=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(lowerCAmelCase_				,	lowerCAmelCase_):
                a_									=[questions]  # add batch dimension (as the feature extractor always adds a batch dimension)

      a_									=self.tokenizer(
          text=questions if questions is not None else nodes				,	text_pair=nodes if questions is not None else None				,	xpaths=lowerCAmelCase_				,	node_labels=lowerCAmelCase_				,	add_special_tokens=lowerCAmelCase_				,	padding=lowerCAmelCase_				,	truncation=lowerCAmelCase_				,	max_length=lowerCAmelCase_				,	stride=lowerCAmelCase_				,	pad_to_multiple_of=lowerCAmelCase_				,	return_token_type_ids=lowerCAmelCase_				,	return_attention_mask=lowerCAmelCase_				,	return_overflowing_tokens=lowerCAmelCase_				,	return_special_tokens_mask=lowerCAmelCase_				,	return_offsets_mapping=lowerCAmelCase_				,	return_length=lowerCAmelCase_				,	verbose=lowerCAmelCase_				,	return_tensors=lowerCAmelCase_				,	**lowerCAmelCase_				,	)

      return encoded_inputs




 def    lowercase_	( self				,	*lowerCAmelCase_				,	**lowerCAmelCase_)			->   Any:



      """simple docstring"""







      return self.tokenizer.batch_decode(*lowerCAmelCase_				,	**lowerCAmelCase_)




 def    lowercase_	( self				,	*lowerCAmelCase_				,	**lowerCAmelCase_)			->   List[Any]:



      """simple docstring"""







      return self.tokenizer.decode(*lowerCAmelCase_				,	**lowerCAmelCase_)




 @property
 def    lowercase_	( self)			->   Tuple:



      """simple docstring"""







      a_									=self.tokenizer.model_input_names
      return tokenizer_input_names




import math
from decimal import Decimal, getcontext
def 					lowerCAmelCase__     (    SCREAMING_SNAKE_CASE_ = 4_000_000	)							->						int:

			try:
						lowerCAmelCase__ : str   =						int(SCREAMING_SNAKE_CASE_	)
			except (TypeError, ValueError):
						raise TypeError('Parameter n must be int or castable to int.'	)
			if n <= 0:
						raise ValueError('Parameter n must be greater than or equal to one.'	)
			lowerCAmelCase__ : Union[str, Any]   =						100
			lowerCAmelCase__ : List[Any]   =						(Decimal(5	) ** Decimal(0.5	) + 1) / Decimal(2	)

			lowerCAmelCase__ : Tuple   =						(math.floor(math.log(n * (phi + 2)			,				SCREAMING_SNAKE_CASE_	) - 1	) // 3) * 3 + 2
			lowerCAmelCase__ : Optional[int]   =						Decimal(round(phi ** Decimal(index + 1	)	)	) / (phi + 2)
			lowerCAmelCase__ : Tuple   =						num // 2
			return int(SCREAMING_SNAKE_CASE_	)


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