





from __future__ import annotations

A    :					Optional[int] =      list[tuple[int, int]]

A    :					str =      [
    [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],
]

A    :					Union[str, Any] =      ([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right


class   A			:
			'''simple docstring'''




			def __init__(			self   :    int							,	__lowerCAmelCase   :    int							,	__lowerCAmelCase   :    int							,	__lowerCAmelCase   :    int							,	__lowerCAmelCase   :    int							,	__lowerCAmelCase   :    float							,	__lowerCAmelCase   :    Node | None							,	)	->	Dict:







					"""simple docstring"""






					A__        =   pos_x
					A__        =   pos_y
					A__        =   (pos_y, pos_x)
					A__        =   goal_x
					A__        =   goal_y
					A__        =   g_cost
					A__        =   parent
					A__        =   self.calculate_heuristic()






			def    a_       (			self   :    Optional[int]   )	->	float:







					"""simple docstring"""






					A__        =   abs(self.pos_x - self.goal_x   )
					A__        =   abs(self.pos_y - self.goal_y   )
					return dx + dy







			def __lt__(			self   :    Any							,	__lowerCAmelCase   :    List[str]   )	->	bool:







					"""simple docstring"""






					return self.f_cost < other.f_cost


class   A			:
			'''simple docstring'''




			def __init__(			self   :    List[str]							,	__lowerCAmelCase   :    tuple[int, int]							,	__lowerCAmelCase   :    tuple[int, int]   )	->	List[Any]:







					"""simple docstring"""






					A__        =   Node(start[1]							,	start[0]							,	goal[1]							,	goal[0]							,	0							,	__lowerCAmelCase   )
					A__        =   Node(goal[1]							,	goal[0]							,	goal[1]							,	goal[0]							,	9_99_99							,	__lowerCAmelCase   )

					A__        =   [self.start]
					A__        =   []

					A__        =   False






			def    a_       (			self   :    Union[str, Any]   )	->	Path | None:







					"""simple docstring"""






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

							if current_node.pos == self.target.pos:
									A__        =   True
									return self.retrace_path(__lowerCAmelCase   )

							self.closed_nodes.append(__lowerCAmelCase   )
							A__        =   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
											A__        =   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   )

					if not self.reached:
							return [self.start.pos]
					return None






			def    a_       (			self   :    Tuple							,	__lowerCAmelCase   :    Node   )	->	list[Node]:







					"""simple docstring"""






					A__        =   []
					for action in delta:
							A__        =   parent.pos_x + action[1]
							A__        =   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    a_       (			self   :    str							,	__lowerCAmelCase   :    Node | None   )	->	Path:







					"""simple docstring"""






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


if __name__ == "__main__":
					A    :					Any =      (0, 0)
					A    :					Any =      (len(grid) - 1, len(grid[0]) - 1)
					for elem in grid:
										print(elem)

					print('''------''')

					A    :					Any =      GreedyBestFirst(init, goal)
					A    :					List[str] =      greedy_bf.search()
					if path:
										for pos_x, pos_y in path:
															A    :					Union[str, Any] =      2

										for elem in grid:
															print(elem)










from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
					A    :					List[str] =      input('''Enter image url: ''').strip()
					print(F'''Downloading image from {url} ...''')
					A    :					Any =      BeautifulSoup(requests.get(url).content, '''html.parser''')
					# The image URL is in the content field of the first meta tag with property og:image
					A    :					List[Any] =      soup.find('''meta''', {'''property''': '''og:image'''})['''content''']
					A    :					Dict =      requests.get(image_url).content
					A    :					Tuple =      F'''{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg'''
					with open(file_name, '''wb''') as fp:
										fp.write(image_data)
					print(F'''Done. Image saved to disk as {file_name}.''')



