'''simple docstring'''
from collections import deque







def  _UpperCamelCase (     _a	:	int			):




    """simple docstring"""



    __UpperCamelCase	:	List[str]		    =  len(_a			)
    __UpperCamelCase	:	Optional[Any]		    =  deque()
    __UpperCamelCase	:	str		    =  [False for _ in range(_a			)]
    __UpperCamelCase	:	Dict		    =  [-1 for _ in range(_a			)]
    __UpperCamelCase	:	int		    =  index_of[:]

    def strong_connect(_a	:	Tuple				,     _a	:	List[Any]				,     _a	:	int			):
        __UpperCamelCase	:	Optional[int]		    =  index  # the number when this node is seen
        __UpperCamelCase	:	Dict		    =  index  # lowest rank node reachable from here
        index += 1
        stack.append(_a			)
        __UpperCamelCase	:	List[str]		    =  True

        for w in g[v]:
            if index_of[w] == -1:
                __UpperCamelCase	:	List[Any]		    =  strong_connect(_a				,     _a				,     _a			)
                __UpperCamelCase	:	int		    =  (
                    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                )
            elif on_stack[w]:
                __UpperCamelCase	:	int		    =  (
                    lowlink_of[w] if lowlink_of[w] < lowlink_of[v] else lowlink_of[v]
                )

        if lowlink_of[v] == index_of[v]:
            __UpperCamelCase	:	Dict		    =  []
            __UpperCamelCase	:	Union[str, Any]		    =  stack.pop()
            __UpperCamelCase	:	Union[str, Any]		    =  False
            component.append(_a			)
            while w != v:
                __UpperCamelCase	:	Any		    =  stack.pop()
                __UpperCamelCase	:	int		    =  False
                component.append(_a			)
            components.append(_a			)
        return index

    __UpperCamelCase	:	List[str]		    =  []
    for v in range(_a			):
        if index_of[v] == -1:
            strong_connect(_a				,     0				,     _a			)

    return components







def  _UpperCamelCase (     _a	:	Optional[Any]				,     _a	:	str			):




    """simple docstring"""



    __UpperCamelCase	:	Tuple		    =  [[] for _ in range(_a			)]
    for u, v in edges:
        g[u].append(_a			)
    return g


if __name__ == "__main__":
  # Test
  a=  7
  a=  [0, 0, 1, 2, 3, 3, 4, 4, 6]
  a=  [1, 3, 2, 0, 1, 4, 5, 6, 5]
  a=  [(u, v) for u, v in zip(source, target)]
  a=  create_graph(n_vertices, edges)

  assert [[5], [6], [4], [3, 2, 1, 0]] == tarjan(g)
'''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


a=  logging.get_logger(__name__)






class 			__lowercase		(						_lowerCamelCase						):







     """simple docstring"""






     def __init__(		self     ,			**_lowerCamelCase    ):
         requires_backends(self     ,			['bs4']    )
         super().__init__(**_lowerCamelCase    )







     def lowerCAmelCase     (		self     ,			_lowerCamelCase    ):
         __UpperCamelCase	:	str		    =  []
         __UpperCamelCase	:	Dict		    =  []
         __UpperCamelCase	:	Union[str, Any]		    =  element if element.name else element.parent
         for parent in child.parents:  # type: bs4.element.Tag
             __UpperCamelCase	:	str		    =  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    )    )
             __UpperCamelCase	:	Union[str, Any]		    =  parent
         xpath_tags.reverse()
         xpath_subscripts.reverse()
         return xpath_tags, xpath_subscripts







     def lowerCAmelCase     (		self     ,			_lowerCamelCase    ):
         __UpperCamelCase	:	List[str]		    =  BeautifulSoup(_lowerCamelCase     ,			'html.parser'    )

         __UpperCamelCase	:	int		    =  []
         __UpperCamelCase	:	List[Any]		    =  []
         __UpperCamelCase	:	int		    =  []

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

                 __UpperCamelCase	:	Tuple		    =  html.unescape(_lowerCamelCase    ).strip()
                 if not text_in_this_tag:
                     continue

                 all_doc_strings.append(_lowerCamelCase    )

                 __UpperCamelCase    ,					__UpperCamelCase	:	Union[str, 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 lowerCAmelCase     (		self     ,			_lowerCamelCase     ,			_lowerCamelCase    ):
         __UpperCamelCase	:	Dict		    =  ''
         for tagname, subs in zip(_lowerCamelCase     ,			_lowerCamelCase    ):
             xpath += f"""/{tagname}"""
             if subs != 0:
                 xpath += f"""[{subs}]"""
         return xpath







     def __call__(		self     ,			_lowerCamelCase    ):
         __UpperCamelCase	:	List[Any]		    =  False

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

         __UpperCamelCase	:	Dict		    =  bool(isinstance(_lowerCamelCase     ,			(list, tuple)    ) and (isinstance(html_strings[0]     ,			_lowerCamelCase    ))    )

         if not is_batched:
             __UpperCamelCase	:	Tuple		    =  [html_strings]

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

         # return as Dict
         __UpperCamelCase	:	Optional[int]		    =  {'nodes': nodes, 'xpaths': xpaths}
         __UpperCamelCase	:	Union[str, Any]		    =  BatchFeature(data=_lowerCamelCase     ,			tensor_type=_lowerCamelCase    )

         return encoded_inputs



