






import html

from ...feature_extraction_utils import BatchFeature, FeatureExtractionMixin
from ...utils import is_bsa_available, logging, requires_backends


if is_bsa_available():
  import bsa
  from bsa import BeautifulSoup


UpperCAmelCase__ :     Any				    =    logging.get_logger(__name__)







class        a__       (   UpperCAmelCase       ):







  """simple docstring"""




  def __init__(			self    : str				,				**UpperCAmelCase__    : List[Any]		)					->Dict:
        """simple docstring"""







        requires_backends(self				,				["""bs4"""]		)
        super().__init__(**UpperCAmelCase__		)


  def  _lowercase      (			self    : Union[str, Any]				,				UpperCAmelCase__    : str		)					->Optional[int]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      int       =   []
        SCREAMING_SNAKE_CASE :      int       =   []
        SCREAMING_SNAKE_CASE :      Dict       =   element if element.name else element.parent
        for parent in child.parents:  # type: bs4.element.Tag
              SCREAMING_SNAKE_CASE :      str       =   parent.find_all(child.name				,				recursive=UpperCAmelCase__		)
              xpath_tags.append(child.name		)
              xpath_subscripts.append(
                  0 if 1 == len(UpperCAmelCase__		) else next(i for i, s in enumerate(UpperCAmelCase__				,				1		) if s is child		)		)
              SCREAMING_SNAKE_CASE :      Union[str, Any]       =   parent
        xpath_tags.reverse()
        xpath_subscripts.reverse()
        return xpath_tags, xpath_subscripts


  def  _lowercase      (			self    : Optional[Any]				,				UpperCAmelCase__    : Union[str, Any]		)					->Optional[Any]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      Any       =   BeautifulSoup(UpperCAmelCase__				,				"""html.parser"""		)

        SCREAMING_SNAKE_CASE :      Dict       =   []
        SCREAMING_SNAKE_CASE :      int       =   []
        SCREAMING_SNAKE_CASE :      List[str]       =   []

        for element in html_code.descendants:
              if type(UpperCAmelCase__		) == bsa.element.NavigableString:
                    if type(element.parent		) != bsa.element.Tag:
                          continue

                    SCREAMING_SNAKE_CASE :      Optional[int]       =   html.unescape(UpperCAmelCase__		).strip()
                    if not text_in_this_tag:
                          continue

                    all_doc_strings.append(UpperCAmelCase__		)

                    SCREAMING_SNAKE_CASE :      int       =   self.xpath_soup(UpperCAmelCase__		)
                    stringaxtag_seq.append(UpperCAmelCase__		)
                    stringaxsubs_seq.append(UpperCAmelCase__		)

        if len(UpperCAmelCase__		) != len(UpperCAmelCase__		):
              raise ValueError("""Number of doc strings and xtags does not correspond"""		)
        if len(UpperCAmelCase__		) != len(UpperCAmelCase__		):
              raise ValueError("""Number of doc strings and xsubs does not correspond"""		)

        return all_doc_strings, stringaxtag_seq, stringaxsubs_seq


  def  _lowercase      (			self    : Optional[int]				,				UpperCAmelCase__    : Tuple				,				UpperCAmelCase__    : List[Any]		)					->Union[str, Any]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      List[str]       =   """"""
        for tagname, subs in zip(UpperCAmelCase__				,				UpperCAmelCase__		):
              xpath += f"/{tagname}"
              if subs != 0:
                    xpath += f"[{subs}]"
        return xpath




  def __call__(			self    : Dict				,				UpperCAmelCase__    : Optional[Any]		)					->BatchFeature:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      List[str]       =   False

        # Check that strings has a valid type
        if isinstance(UpperCAmelCase__				,				UpperCAmelCase__		):
              SCREAMING_SNAKE_CASE :      List[Any]       =   True
        elif isinstance(UpperCAmelCase__				,				(list, tuple)		):
              if len(UpperCAmelCase__		) == 0 or isinstance(html_strings[0]				,				UpperCAmelCase__		):
                    SCREAMING_SNAKE_CASE :      int       =   True

        if not valid_strings:
              raise ValueError(
                  """HTML strings must of type `str`, `List[str]` (batch of examples), """
                  f"but is of type {type(UpperCAmelCase__		)}."		)

        SCREAMING_SNAKE_CASE :      Optional[int]       =   bool(isinstance(UpperCAmelCase__				,				(list, tuple)		) and (isinstance(html_strings[0]				,				UpperCAmelCase__		))		)

        if not is_batched:
              SCREAMING_SNAKE_CASE :      str       =   [html_strings]

        # Get nodes + xpaths
        SCREAMING_SNAKE_CASE :      str       =   []
        SCREAMING_SNAKE_CASE :      int       =   []
        for html_string in html_strings:
              SCREAMING_SNAKE_CASE :      List[str]       =   self.get_three_from_single(UpperCAmelCase__		)
              nodes.append(UpperCAmelCase__		)
              SCREAMING_SNAKE_CASE :      Union[str, Any]       =   []
              for node, tag_list, sub_list in zip(UpperCAmelCase__				,				UpperCAmelCase__				,				UpperCAmelCase__		):
                    SCREAMING_SNAKE_CASE :      Any       =   self.construct_xpath(UpperCAmelCase__				,				UpperCAmelCase__		)
                    xpath_strings.append(UpperCAmelCase__		)
              xpaths.append(UpperCAmelCase__		)

        # return as Dict
        SCREAMING_SNAKE_CASE :      int       =   {"""nodes""": nodes, """xpaths""": xpaths}
        SCREAMING_SNAKE_CASE :      Tuple       =   BatchFeature(data=UpperCAmelCase__				,				tensor_type=UpperCAmelCase__		)

        return encoded_inputs







from typing import Any

import numpy as np






def 					__lowercase      (     _A			)     ->						bool:
      return np.array_equal(_A						,    matrix.conjugate().T			)






def 					__lowercase      (     _A						,    _A			)     ->						Any:
      SCREAMING_SNAKE_CASE :      Optional[int]       =   v.conjugate().T
      SCREAMING_SNAKE_CASE :      List[Any]       =   v_star.dot(_A			)
      assert isinstance(_A						,    np.ndarray			)
      return (v_star_dot.dot(_A			)) / (v_star.dot(_A			))






def 					__lowercase      (     )     ->						None:
      SCREAMING_SNAKE_CASE :      Any       =   np.array([[2, 2 + 1J, 4], [2 - 1J, 3, 1J], [4, -1J, 1]]			)
      SCREAMING_SNAKE_CASE :      Optional[int]       =   np.array([[1], [2], [3]]			)
      assert is_hermitian(_A			), F"{a} is not hermitian."
      print(rayleigh_quotient(_A						,    _A			)			)

      SCREAMING_SNAKE_CASE :      Any       =   np.array([[1, 2, 4], [2, 3, -1], [4, -1, 1]]			)
      assert is_hermitian(_A			), F"{a} is not hermitian."
      assert rayleigh_quotient(_A						,    _A			) == float(3			)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  tests()




