

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 			=		logging.get_logger(__name__)







class   __lowercase      (_UpperCAmelCase ):
 def __init__(							self      ,							**A_					)					->Optional[Any]:



       '''simple docstring'''





       requires_backends(self      ,							['''bs4''']					)
       super().__init__(**A_					)
 def 	UpperCamelCase__  (							self      ,							A_					)					->int:



       '''simple docstring'''





       __lowerCAmelCase					:						Optional[int]					=					[]
       __lowerCAmelCase					:						Optional[Any]					=					[]
       __lowerCAmelCase					:						Optional[Any]					=					element if element.name else element.parent
       for parent in child.parents:  # type: bs4.element.Tag
             __lowerCAmelCase					:						Dict					=					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					)					)
             __lowerCAmelCase					:						Optional[Any]					=					parent
       xpath_tags.reverse()
       xpath_subscripts.reverse()
       return xpath_tags, xpath_subscripts
 def 	UpperCamelCase__  (							self      ,							A_					)					->Union[str, Any]:



       '''simple docstring'''





       __lowerCAmelCase					:						List[str]					=					BeautifulSoup(A_      ,							'''html.parser'''					)

       __lowerCAmelCase					:						Tuple					=					[]
       __lowerCAmelCase					:						Optional[Any]					=					[]
       __lowerCAmelCase					:						Optional[Any]					=					[]

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

                   __lowerCAmelCase					:						List[str]					=					html.unescape(A_					).strip()
                   if not text_in_this_tag:
                         continue

                   all_doc_strings.append(A_					)

                   __lowerCAmelCase,							__lowerCAmelCase					:						Optional[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_					)					->Dict:



       '''simple docstring'''





       __lowerCAmelCase					:						Optional[Any]					=					''''''
       for tagname, subs in zip(A_      ,							A_					):
             xpath += f"""/{tagname}"""
             if subs != 0:
                   xpath += f"""[{subs}]"""
       return xpath





 def __call__(							self      ,							A_					)					->BatchFeature:



       '''simple docstring'''





       __lowerCAmelCase					:						int					=					False

       # Check that strings has a valid type
       if isinstance(A_      ,							A_					):
             __lowerCAmelCase					:						Optional[int]					=					True
       elif isinstance(A_      ,							(list, tuple)					):
             if len(A_					) == 0 or isinstance(html_strings[0]      ,							A_					):
                   __lowerCAmelCase					:						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_					)}."""					)

       __lowerCAmelCase					:						List[str]					=					bool(isinstance(A_      ,							(list, tuple)					) and (isinstance(html_strings[0]      ,							A_					))					)

       if not is_batched:
             __lowerCAmelCase					:						List[str]					=					[html_strings]

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

       # return as Dict
       __lowerCAmelCase					:						str					=					{'''nodes''': nodes, '''xpaths''': xpaths}
       __lowerCAmelCase					:						Any					=					BatchFeature(data=A_      ,							tensor_type=A_					)

       return encoded_inputs





def 		_lowercase (     lowercase__   ,	lowercase__						):
      if a < 0 or b < 0:
            raise ValueError('''the value of both inputs must be positive'''						)
      __lowerCAmelCase					:						int					=					str(bin(lowercase__						)						)[2:]  # remove the leading "0b"
      __lowerCAmelCase					:						Any					=					str(bin(lowercase__						)						)[2:]
      __lowerCAmelCase					:						List[str]					=					max(len(lowercase__						)   ,	len(lowercase__						)						)
      return "0b" + "".join(
          str(int('''1''' in (char_a, char_b)						)						)
          for char_a, char_b in zip(a_binary.zfill(lowercase__						)   ,	b_binary.zfill(lowercase__						)						)						)


if __name__ == "__main__":
 import doctest

 doctest.testmod()


