





'''simple docstring'''





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


__lowerCamelCase :  List[Any]										=  logging.get_logger(__name__)



class       A__     ( UpperCamelCase__    ):





      def __init__(				self ,							**A_     ):
       '''simple docstring'''




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





      def  __UpperCamelCase(				self ,							A_     ):
       '''simple docstring'''




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





      def  __UpperCamelCase(				self ,							A_     ):
       '''simple docstring'''




       UpperCamelCase			:      str 			=     BeautifulSoup(__A ,							"html.parser"     )

       UpperCamelCase			:      Optional[int] 			=     []
       UpperCamelCase			:      Dict 			=     []
       UpperCamelCase			:      List[Any] 			=     []

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

         UpperCamelCase			:      Optional[Any] 			=     html.unescape(__A     ).strip()
         if not text_in_this_tag:
          continue

         all_doc_strings.append(__A     )

         UpperCamelCase			,					UpperCamelCase			:      Any 			=     self.xpath_soup(__A     )
         stringaxtag_seq.append(__A     )
         stringaxsubs_seq.append(__A     )

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

       return all_doc_strings, stringaxtag_seq, stringaxsubs_seq





      def  __UpperCamelCase(				self ,							A_ ,							A_     ):
       '''simple docstring'''




       UpperCamelCase			:      Tuple 			=     ""
       for tagname, subs in zip(__A ,							__A     ):
        xpath += F"""/{tagname}"""
        if subs != 0:
         xpath += F"""[{subs}]"""
       return xpath





      def __call__(				self ,							A_     ):
       '''simple docstring'''




       UpperCamelCase			:      Union[str, Any] 			=     False

       # Check that strings has a valid type
       if isinstance(__A ,							__A     ):
        UpperCamelCase			:      Dict 			=     True
       elif isinstance(__A ,							(list, tuple)     ):
        if len(__A     ) == 0 or isinstance(html_strings[0] ,							__A     ):
         UpperCamelCase			:      str 			=     True

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

       UpperCamelCase			:      List[Any] 			=     bool(isinstance(__A ,							(list, tuple)     ) and (isinstance(html_strings[0] ,							__A     ))     )

       if not is_batched:
        UpperCamelCase			:      Optional[Any] 			=     [html_strings]

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

       # return as Dict
       UpperCamelCase			:      Any 			=     {"nodes": nodes, "xpaths": xpaths}
       UpperCamelCase			:      Optional[Any] 			=     BatchFeature(data=__A ,							tensor_type=__A     )

       return encoded_inputs







from math import loga



def 	A_       (  _lowerCAmelCase  )		->				int:
 if a < 0:
  raise ValueError("Input value must be a positive integer"  )
 elif isinstance(_lowerCAmelCase							,     _lowerCAmelCase  ):
  raise TypeError("Input value must be a 'int' type"  )
 return 0 if (a == 0) else int(loga(a & -a  )  )


if __name__ == "__main__":
    import doctest

    doctest.testmod()
