




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	:	Dict				=   logging.get_logger(__name__)




class 						__lowercase		(UpperCamelCase__							):




      """simple docstring"""





      def __init__(				self    ,				**A     )		->    List[str]:
         requires_backends(self    ,				["""bs4"""]     )
         super().__init__(**A     )

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

      def      UpperCAmelCase				(				self    ,				A     )		->    str:
         snake_case				:    List[str]           =	BeautifulSoup(A    ,				"""html.parser"""     )

         snake_case				:    Tuple           =	[]
         snake_case				:    Union[str, Any]           =	[]
         snake_case				:    Tuple           =	[]

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

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

               all_doc_strings.append(A     )

               snake_case     , snake_case				:    Optional[int]           =	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     )		->    Any:
         snake_case				:    Tuple           =	""""""
         for tagname, subs in zip(A    ,				A     ):
            xpath += f"""/{tagname}"""
            if subs != 0:
               xpath += f"""[{subs}]"""
         return xpath

      def __call__(				self    ,				A     )		->    BatchFeature:
         snake_case				:    Optional[int]           =	False

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

         snake_case				:    Any           =	bool(isinstance(A    ,				(list, tuple)     ) and (isinstance(html_strings[0]    ,				A     ))     )

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

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

         # return as Dict
         snake_case				:    str           =	{"""nodes""": nodes, """xpaths""": xpaths}
         snake_case				:    Tuple           =	BatchFeature(data=A    ,				tensor_type=A     )

         return encoded_inputs











def 						SCREAMING_SNAKE_CASE__ (   )  ->       Dict:
   snake_case				:    Optional[int]           =	[]
   snake_case				:    Tuple           =	1

   while len(lowercase					) < 1E6:
      constant.append(str(lowercase					)					)
      i += 1

   snake_case				:    int           =	"""""".join(lowercase					)

   return (
       int(constant[0]					)
       * int(constant[9]					)
       * int(constant[99]					)
       * int(constant[999]					)
       * int(constant[9999]					)
       * int(constant[99999]					)
       * int(constant[999999]					)
   )


if __name__ == "__main__":
       print(solution())





