



'''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					=    logging.get_logger(__name__)






class 							__lowercase       (      lowerCAmelCase__						):







	'''simple docstring'''

	def __init__(self     ,**_lowerCamelCase )							->							Dict:







				'''simple docstring'''





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


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							Optional[int]:







				'''simple docstring'''





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


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							int:







				'''simple docstring'''





				__lowercase										=							BeautifulSoup(UpperCamelCase_     ,'''html.parser''' )

				__lowercase										=							[]
				__lowercase										=							[]
				__lowercase										=							[]

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

										__lowercase										=							html.unescape(UpperCamelCase_ ).strip()
										if not text_in_this_tag:
													continue

										all_doc_strings.append(UpperCamelCase_ )

										__lowercase										=							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     ,_lowerCamelCase     ,_lowerCamelCase )							->							Any:







				'''simple docstring'''





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


	def __call__(self     ,_lowerCamelCase )							->							Optional[Any]:







				'''simple docstring'''





				__lowercase										=							False

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

				__lowercase										=							bool(isinstance(UpperCamelCase_     ,(list, tuple) ) and (isinstance(html_strings[0]     ,UpperCamelCase_ )) )

				if not is_batched:
							__lowercase										=							[html_strings]

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

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

				return encoded_inputs












'''simple docstring'''



from __future__ import annotations

import time
from math import sqrt

# 1 for manhattan, 0 for euclidean
_SCREAMING_SNAKE_CASE					=    0

_SCREAMING_SNAKE_CASE					=    [
    [0, 0, 0, 0, 0, 0, 0],
    [0, 1, 0, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 1, 0, 0, 0, 0],
    [1, 0, 1, 0, 0, 0, 0],
    [0, 0, 0, 0, 0, 0, 0],
    [0, 0, 0, 0, 1, 0, 0],
]

_SCREAMING_SNAKE_CASE					=    [[-1, 0], [0, -1], [1, 0], [0, 1]]  # up, left, down, right

_SCREAMING_SNAKE_CASE					=    tuple[int, int]






class 							__lowercase       :







	'''simple docstring'''

	def __init__(self     ,_lowerCamelCase     ,_lowerCamelCase     ,_lowerCamelCase     ,_lowerCamelCase     ,_lowerCamelCase     ,_lowerCamelCase     ,)							->							None:







				'''simple docstring'''





				__lowercase										=							pos_x
				__lowercase										=							pos_y
				__lowercase										=							(pos_y, pos_x)
				__lowercase										=							goal_x
				__lowercase										=							goal_y
				__lowercase										=							g_cost
				__lowercase										=							parent
				__lowercase										=							self.calculate_heuristic()
				__lowercase										=							self.g_cost + self.h_cost


	def 						_UpperCAmelCase     (self )							->							float:







				'''simple docstring'''





				__lowercase										=							self.pos_x - self.goal_x
				__lowercase										=							self.pos_y - self.goal_y
				if HEURISTIC == 1:
							return abs(_lowerCamelCase ) + abs(_lowerCamelCase )
				else:
							return sqrt(dy**2 + dx**2 )


	def __lt__(self     ,_lowerCamelCase )							->							bool:







				'''simple docstring'''





				return self.f_cost < other.f_cost






class 							__lowercase       :







	'''simple docstring'''

	def __init__(self     ,_lowerCamelCase     ,_lowerCamelCase )							->							List[Any]:







				'''simple docstring'''





				__lowercase										=							Node(start[1]     ,start[0]     ,goal[1]     ,goal[0]     ,0     ,_lowerCamelCase )
				__lowercase										=							Node(goal[1]     ,goal[0]     ,goal[1]     ,goal[0]     ,99999     ,_lowerCamelCase )

				__lowercase										=							[self.start]
				__lowercase										=							[]

				__lowercase										=							False


	def 						_UpperCAmelCase     (self )							->							list[TPosition]:







				'''simple docstring'''





				while self.open_nodes:
							# Open Nodes are sorted using __lt__
							self.open_nodes.sort()
							__lowercase										=							self.open_nodes.pop(0 )

							if current_node.pos == self.target.pos:
										return self.retrace_path(_lowerCamelCase )

							self.closed_nodes.append(_lowerCamelCase )
							__lowercase										=							self.get_successors(_lowerCamelCase )

							for child_node in successors:
										if child_node in self.closed_nodes:
													continue

										if child_node not in self.open_nodes:
													self.open_nodes.append(_lowerCamelCase )
										else:
													# retrieve the best current path
													__lowercase										=							self.open_nodes.pop(self.open_nodes.index(_lowerCamelCase ) )

													if child_node.g_cost < better_node.g_cost:
																self.open_nodes.append(_lowerCamelCase )
													else:
																self.open_nodes.append(_lowerCamelCase )

				return [self.start.pos]


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							list[Node]:







				'''simple docstring'''





				__lowercase										=							[]
				for action in delta:
							__lowercase										=							parent.pos_x + action[1]
							__lowercase										=							parent.pos_y + action[0]
							if not (0 <= pos_x <= len(grid[0] ) - 1 and 0 <= pos_y <= len(_lowerCamelCase ) - 1):
										continue

							if grid[pos_y][pos_x] != 0:
										continue

							successors.append(
							    Node(
							        _lowerCamelCase     ,_lowerCamelCase     ,self.target.pos_y     ,self.target.pos_x     ,parent.g_cost + 1     ,_lowerCamelCase     ,) )
				return successors


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase )							->							list[TPosition]:







				'''simple docstring'''





				__lowercase										=							node
				__lowercase										=							[]
				while current_node is not None:
							path.append((current_node.pos_y, current_node.pos_x) )
							__lowercase										=							current_node.parent
				path.reverse()
				return path






class 							__lowercase       :







	'''simple docstring'''

	def __init__(self     ,_lowerCamelCase     ,_lowerCamelCase )							->							None:







				'''simple docstring'''





				__lowercase										=							AStar(_lowerCamelCase     ,_lowerCamelCase )
				__lowercase										=							AStar(_lowerCamelCase     ,_lowerCamelCase )
				__lowercase										=							False


	def 						_UpperCAmelCase     (self )							->							list[TPosition]:







				'''simple docstring'''





				while self.fwd_astar.open_nodes or self.bwd_astar.open_nodes:
							self.fwd_astar.open_nodes.sort()
							self.bwd_astar.open_nodes.sort()
							__lowercase										=							self.fwd_astar.open_nodes.pop(0 )
							__lowercase										=							self.bwd_astar.open_nodes.pop(0 )

							if current_bwd_node.pos == current_fwd_node.pos:
										return self.retrace_bidirectional_path(
										    _lowerCamelCase     ,_lowerCamelCase )

							self.fwd_astar.closed_nodes.append(_lowerCamelCase )
							self.bwd_astar.closed_nodes.append(_lowerCamelCase )

							__lowercase										=							current_bwd_node
							__lowercase										=							current_fwd_node

							__lowercase										=							{
							    self.fwd_astar: self.fwd_astar.get_successors(_lowerCamelCase ),
							    self.bwd_astar: self.bwd_astar.get_successors(_lowerCamelCase ),
							}

							for astar in [self.fwd_astar, self.bwd_astar]:
										for child_node in successors[astar]:
													if child_node in astar.closed_nodes:
																continue

													if child_node not in astar.open_nodes:
																astar.open_nodes.append(_lowerCamelCase )
													else:
																# retrieve the best current path
																__lowercase										=							astar.open_nodes.pop(
																    astar.open_nodes.index(_lowerCamelCase ) )

																if child_node.g_cost < better_node.g_cost:
																			astar.open_nodes.append(_lowerCamelCase )
																else:
																			astar.open_nodes.append(_lowerCamelCase )

				return [self.fwd_astar.start.pos]


	def 						_UpperCAmelCase     (self     ,_lowerCamelCase     ,_lowerCamelCase )							->							list[TPosition]:







				'''simple docstring'''





				__lowercase										=							self.fwd_astar.retrace_path(_lowerCamelCase )
				__lowercase										=							self.bwd_astar.retrace_path(_lowerCamelCase )
				bwd_path.pop()
				bwd_path.reverse()
				__lowercase										=							fwd_path + bwd_path
				return path


if __name__ == "__main__":
	# all coordinates are given in format [y,x]
	_SCREAMING_SNAKE_CASE					=    (0, 0)
	_SCREAMING_SNAKE_CASE					=    (len(grid) - 1, len(grid[0]) - 1)
	for elem in grid:
		print(elem)

	_SCREAMING_SNAKE_CASE					=    time.time()
	_SCREAMING_SNAKE_CASE					=    AStar(init, goal)
	_SCREAMING_SNAKE_CASE					=    a_star.search()
	_SCREAMING_SNAKE_CASE					=    time.time() - start_time
	print(f'''AStar execution time = {end_time:f} seconds''')

	_SCREAMING_SNAKE_CASE					=    time.time()
	_SCREAMING_SNAKE_CASE					=    BidirectionalAStar(init, goal)
	_SCREAMING_SNAKE_CASE					=    time.time() - bd_start_time
	print(f'''BidirectionalAStar execution time = {bd_end_time:f} seconds''')





