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       =		logging.get_logger(__name__)
class     lowerCAmelCase_     (       __lowercase ):







							def __init__(   self      :     Any ,			**_A      :     Optional[int]		):
												requires_backends(self ,			['''bs4''']		)
												super().__init__(**_A		)







							def  UpperCamelCase_						(   self      :     Dict ,			_A      :     List[str]		):
												_UpperCamelCase			     =     []
												_UpperCamelCase			     =     []
												_UpperCamelCase			     =     element if element.name else element.parent
												for parent in child.parents:  # type: bs4.element.Tag
																	_UpperCamelCase			     =     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		)		)
																	_UpperCamelCase			     =     parent
												xpath_tags.reverse()
												xpath_subscripts.reverse()
												return xpath_tags, xpath_subscripts







							def  UpperCamelCase_						(   self      :     List[Any] ,			_A      :     int		):
												_UpperCamelCase			     =     BeautifulSoup(_A ,			'''html.parser'''		)

												_UpperCamelCase			     =     []
												_UpperCamelCase			     =     []
												_UpperCamelCase			     =     []

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

																						_UpperCamelCase			     =     html.unescape(_A		).strip()
																						if not text_in_this_tag:
																											continue

																						all_doc_strings.append(_A		)

																						_UpperCamelCase     ,    _UpperCamelCase			     =     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      :     int ,			_A      :     int ,			_A      :     int		):
												_UpperCamelCase			     =     ''''''
												for tagname, subs in zip(_A ,			_A		):
																	xpath += F"""/{tagname}"""
																	if subs != 0:
																						xpath += F"""[{subs}]"""
												return xpath







							def __call__(   self      :     str ,			_A      :     Optional[Any]		):
												_UpperCamelCase			     =     False

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

												_UpperCamelCase			     =     bool(isinstance(_A ,			(list, tuple)		) and (isinstance(html_strings[0] ,			_A		))		)

												if not is_batched:
																	_UpperCamelCase			     =     [html_strings]

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

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

												return encoded_inputs

import math
class     lowerCAmelCase_     :







							def __init__(   self      :     Tuple ,			_A      :     int=0		):  # a graph with Node 0,1,...,N-1
												_UpperCamelCase			     =     n
												_UpperCamelCase			     =     [
												    [math.inf for j in range(0 ,			_A		)] for i in range(0 ,			_A		)
												]  # adjacency matrix for weight
												_UpperCamelCase			     =     [
												    [math.inf for j in range(0 ,			_A		)] for i in range(0 ,			_A		)
												]  # dp[i][j] stores minimum distance from i to j







							def  UpperCamelCase_						(   self      :     Dict ,			_A      :     str ,			_A      :     List[str] ,			_A      :     Optional[Any]		):
												_UpperCamelCase			     =     w







							def  UpperCamelCase_						(   self      :     Optional[int]		):
												for k in range(0 ,			self.n		):
																	for i in range(0 ,			self.n		):
																						for j in range(0 ,			self.n		):
																											_UpperCamelCase			     =     min(self.dp[i][j] ,			self.dp[i][k] + self.dp[k][j]		)







							def  UpperCamelCase_						(   self      :     List[str] ,			_A      :     Optional[int] ,			_A      :     Optional[int]		):
												return self.dp[u][v]


if __name__ == "__main__":
					_lowerCAmelCase       =		Graph(5)
					graph.add_edge(0, 2, 9)
					graph.add_edge(0, 4, 10)
					graph.add_edge(1, 3, 5)
					graph.add_edge(2, 3, 7)
					graph.add_edge(3, 0, 10)
					graph.add_edge(3, 1, 2)
					graph.add_edge(3, 2, 1)
					graph.add_edge(3, 4, 6)
					graph.add_edge(4, 1, 3)
					graph.add_edge(4, 2, 4)
					graph.add_edge(4, 3, 9)
					graph.floyd_warshall()
					graph.show_min(1, 4)
					graph.show_min(0, 3)
