




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







class   A(						UpperCamelCase   ):



 '''simple docstring'''


 def __init__(				self					:  Tuple						,							**A_					:  Any  )   ->	int:

       """simple docstring"""






       requires_backends(self						,							['bs4']  )
       super().__init__(**A_  )

 def 				a__ (				self					:  List[str]						,							A_					:  Optional[int]  )   ->	int:

       """simple docstring"""






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

 def 				a__ (				self					:  Tuple						,							A_					:  Union[str, Any]  )   ->	Optional[Any]:

       """simple docstring"""






       lowerCamelCase_		     =    BeautifulSoup(A_						,							'html.parser'  )

       lowerCamelCase_		     =    []
       lowerCamelCase_		     =    []
       lowerCamelCase_		     =    []

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

                   lowerCamelCase_		     =    html.unescape(A_  ).strip()
                   if not text_in_this_tag:
                         continue

                   all_doc_strings.append(A_  )

                   lowerCamelCase_     ,				lowerCamelCase_		     =    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 				a__ (				self					:  int						,							A_					:  Tuple						,							A_					:  Dict  )   ->	str:

       """simple docstring"""






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





 def __call__(				self					:  str						,							A_					:  Any  )   ->	BatchFeature:

       """simple docstring"""






       lowerCamelCase_		     =    False

       # Check that strings has a valid type
       if isinstance(A_						,							A_  ):
             lowerCamelCase_		     =    True
       elif isinstance(A_						,							(list, tuple)  ):
             if len(A_  ) == 0 or isinstance(html_strings[0]						,							A_  ):
                   lowerCamelCase_		     =    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_		     =    bool(isinstance(A_						,							(list, tuple)  ) and (isinstance(html_strings[0]						,							A_  ))  )

       if not is_batched:
             lowerCamelCase_		     =    [html_strings]

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

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

       return encoded_inputs









lowerCamelCase				:		Tuple     =   [
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       Optional[Any]	,							lowercase	:       int	,							lowercase	:       Optional[Any]	,							lowercase	:       List[Any]     ):


      '''simple docstring'''



      lowerCamelCase_		     =    [False] * len(lowercase     )
      lowerCamelCase_		     =    [s]
      lowerCamelCase_		     =    True

      while queue:
            lowerCamelCase_		     =    queue.pop(0     )
            for ind in range(len(graph[u]     )     ):
                  if visited[ind] is False and graph[u][ind] > 0:
                        queue.append(lowercase     )
                        lowerCamelCase_		     =    True
                        lowerCamelCase_		     =    u

      return visited[t]

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       List[str]	,							lowercase	:       Tuple	,							lowercase	:       Tuple     ):


      '''simple docstring'''



      lowerCamelCase_		     =    [-1] * (len(lowercase     ))
      lowerCamelCase_		     =    0
      lowerCamelCase_		     =    []
      lowerCamelCase_		     =    [i[:] for i in graph]  # Record original cut, copy.
      while bfs(lowercase	,							lowercase	,							lowercase	,							lowercase     ):
            lowerCamelCase_		     =    float('Inf'     )
            lowerCamelCase_		     =    sink

            while s != source:
                  # Find the minimum value in select path
                  lowerCamelCase_		     =    min(lowercase	,							graph[parent[s]][s]     )
                  lowerCamelCase_		     =    parent[s]

            max_flow += path_flow
            lowerCamelCase_		     =    sink

            while v != source:
                  lowerCamelCase_		     =    parent[v]
                  graph[u][v] -= path_flow
                  graph[v][u] += path_flow
                  lowerCamelCase_		     =    parent[v]

      for i in range(len(lowercase     )     ):
            for j in range(len(graph[0]     )     ):
                  if graph[i][j] == 0 and temp[i][j] > 0:
                        res.append((i, j)     )

      return res


if __name__ == "__main__":
 print(mincut(test_graph, source=0, sink=5))



