





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	:	Union[str, Any]		     =       logging.get_logger(__name__)







class 				__lowerCAmelCase       (    UpperCamelCase__):







      def __init__(    self		,      **lowerCAmelCase__							)   ->						Tuple:



        '''simple docstring'''




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







      def    _lowercase  (    self		,      lowerCAmelCase__							)   ->						Dict:



        '''simple docstring'''




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







      def    _lowercase  (    self		,      lowerCAmelCase__							)   ->						Optional[int]:



        '''simple docstring'''




        a__	:					Tuple										=BeautifulSoup(lowerCAmelCase__		,      "html.parser"							)

        a__	:					Optional[Any]										=[]
        a__	:					Optional[int]										=[]
        a__	:					Tuple										=[]

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

            a__	:					Any										=html.unescape(lowerCAmelCase__							).strip()
            if not text_in_this_tag:
              continue

            all_doc_strings.append(lowerCAmelCase__							)

            a__					,							a__	:					Any										=self.xpath_soup(lowerCAmelCase__							)
            stringaxtag_seq.append(lowerCAmelCase__							)
            stringaxsubs_seq.append(lowerCAmelCase__							)

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

        return all_doc_strings, stringaxtag_seq, stringaxsubs_seq







      def    _lowercase  (    self		,      lowerCAmelCase__		,      lowerCAmelCase__							)   ->						List[Any]:



        '''simple docstring'''




        a__	:					List[str]										=""
        for tagname, subs in zip(lowerCAmelCase__		,      lowerCAmelCase__							):
          xpath += F'''/{tagname}'''
          if subs != 0:
            xpath += F'''[{subs}]'''
        return xpath







      def __call__(    self		,      lowerCAmelCase__							)   ->						BatchFeature:



        '''simple docstring'''




        a__	:					List[Any]										=False

        # Check that strings has a valid type
        if isinstance(lowerCAmelCase__		,      lowerCAmelCase__							):
          a__	:					Dict										=True
        elif isinstance(lowerCAmelCase__		,      (list, tuple)							):
          if len(lowerCAmelCase__							) == 0 or isinstance(html_strings[0]		,      lowerCAmelCase__							):
            a__	:					Optional[Any]										=True

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

        a__	:					Optional[Any]										=bool(isinstance(lowerCAmelCase__		,      (list, tuple)							) and (isinstance(html_strings[0]		,      lowerCAmelCase__							))							)

        if not is_batched:
          a__	:					Tuple										=[html_strings]

        # Get nodes + xpaths
        a__	:					Tuple										=[]
        a__	:					int										=[]
        for html_string in html_strings:
          a__					,							a__					,							a__	:					Optional[Any]										=self.get_three_from_single(lowerCAmelCase__							)
          nodes.append(lowerCAmelCase__							)
          a__	:					Dict										=[]
          for node, tag_list, sub_list in zip(lowerCAmelCase__		,      lowerCAmelCase__		,      lowerCAmelCase__							):
            a__	:					Optional[int]										=self.construct_xpath(lowerCAmelCase__		,      lowerCAmelCase__							)
            xpath_strings.append(lowerCAmelCase__							)
          xpaths.append(lowerCAmelCase__							)

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

        return encoded_inputs










'''simple docstring'''






from statistics import mean, stdev







def 				UpperCamelCase_			(    A__					:   list							,    A__					:   int = 3					):
  '''simple docstring'''





  lowerCAmelCase_			:      List[str]			=   min(A__					)
  lowerCAmelCase_			:      Optional[int]			=   max(A__					)
  # normalize data
  return [round((x - x_min) / (x_max - x_min)							,    A__					) for x in data]







def 				UpperCamelCase_			(    A__					:   list							,    A__					:   int = 3					):
  '''simple docstring'''





  lowerCAmelCase_			:      str			=   mean(A__					)
  lowerCAmelCase_			:      List[Any]			=   stdev(A__					)
  # standardize data
  return [round((x - mu) / (sigma)							,    A__					) for x in data]



