

"""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


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



class 					a						(       _lowerCamelCase				):



    """simple docstring"""



    def __init__(     self: Union[str, Any]    ,						**UpperCamelCase: List[Any]       ):






         """simple docstring"""


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

    def 				UpperCamelCase	(     self: Dict    ,						UpperCamelCase: Dict       ):






         """simple docstring"""


         A__										=  []
         A__										=  []
         A__										=  element if element.name else element.parent
         for parent in child.parents:  # type: bs4.element.Tag
              A__										=  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       )       )
              A__										=  parent
         xpath_tags.reverse()
         xpath_subscripts.reverse()
         return xpath_tags, xpath_subscripts

    def 				UpperCamelCase	(     self: List[str]    ,						UpperCamelCase: Union[str, Any]       ):






         """simple docstring"""


         A__										=  BeautifulSoup(UpperCamelCase    ,						"""html.parser"""       )

         A__										=  []
         A__										=  []
         A__										=  []

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

                   A__										=  html.unescape(UpperCamelCase       ).strip()
                   if not text_in_this_tag:
                        continue

                   all_doc_strings.append(UpperCamelCase       )

                   A__			,				A__										=  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 				UpperCamelCase	(     self: Union[str, Any]    ,						UpperCamelCase: Dict    ,						UpperCamelCase: Any       ):






         """simple docstring"""


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





    def __call__(     self: Optional[int]    ,						UpperCamelCase: List[str]       ):






         """simple docstring"""


         A__										=  False

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

         A__										=  bool(isinstance(UpperCamelCase    ,						(list, tuple)       ) and (isinstance(html_strings[0]    ,						UpperCamelCase       ))       )

         if not is_batched:
              A__										=  [html_strings]

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

         # return as Dict
         A__										=  {"""nodes""": nodes, """xpaths""": xpaths}
         A__										=  BatchFeature(data=UpperCamelCase    ,						tensor_type=UpperCamelCase       )

         return encoded_inputs









"""simple docstring"""



from collections import defaultdict





def  _snake_case     (    UpperCAmelCase_  :					int			):
     A__										=  1
     A__										=  True
     for v in tree[start]:
          if v not in visited:
               ret += dfs(UpperCAmelCase_			)
     if ret % 2 == 0:
          cuts.append(UpperCAmelCase_			)
     return ret





def  _snake_case     (    ):
     dfs(1			)


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE_  ,SCREAMING_SNAKE_CASE_					:	Any							  =						1_0, 9
 SCREAMING_SNAKE_CASE_					:	Any							  =						defaultdict(list)
 SCREAMING_SNAKE_CASE_					:	dict[int, bool]							  =						{}
 SCREAMING_SNAKE_CASE_					:	list[int]							  =						[]
 SCREAMING_SNAKE_CASE_					:	Optional[int]							  =						0
 SCREAMING_SNAKE_CASE_					:	Any							  =						[(2, 1), (3, 1), (4, 3), (5, 2), (6, 1), (7, 2), (8, 6), (9, 8), (1_0, 8)]
 for u, v in edges:
  tree[u].append(v)
  tree[v].append(u)
 even_tree()
 print(len(cuts) - 1)






