
_A     =  [
    "DownloadConfig",
    "DownloadManager",
    "DownloadMode",
    "StreamingDownloadManager",
]

from .download_config import DownloadConfig
from .download_manager import DownloadManager, DownloadMode
from .streaming_download_manager import StreamingDownloadManager





from __future__ import annotations

_A     =  list[tuple[int, int]]

_A     =  [
    [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     =  ([-1, 0], [0, -1], [1, 0], [0, 1])  # up, left, down, right





class 			_lowerCAmelCase      :




				def __init__(      self       ,       _UpperCamelCase       ,       _UpperCamelCase       ,       _UpperCamelCase       ,       _UpperCamelCase       ,       _UpperCamelCase       ,       _UpperCamelCase       ,       )       ->   Tuple:
							lowerCAmelCase_      			=			pos_x
							lowerCAmelCase_      			=			pos_y
							lowerCAmelCase_      			=			(pos_y, pos_x)
							lowerCAmelCase_      			=			goal_x
							lowerCAmelCase_      			=			goal_y
							lowerCAmelCase_      			=			g_cost
							lowerCAmelCase_      			=			parent
							lowerCAmelCase_      			=			self.calculate_heuristic()




				def   __a		(      self  )       ->   float:
							lowerCAmelCase_      			=			abs(self.pos_x - self.goal_x  )
							lowerCAmelCase_      			=			abs(self.pos_y - self.goal_y  )
							return dx + dy




				def __lt__(      self       ,       _UpperCamelCase  )       ->   bool:
							return self.f_cost < other.f_cost





class 			_lowerCAmelCase      :




				def __init__(      self       ,       _UpperCamelCase       ,       _UpperCamelCase  )       ->   Tuple:
							lowerCAmelCase_      			=			Node(start[1]       ,       start[0]       ,       goal[1]       ,       goal[0]       ,       0       ,       _UpperCamelCase  )
							lowerCAmelCase_      			=			Node(goal[1]       ,       goal[0]       ,       goal[1]       ,       goal[0]       ,       99_999       ,       _UpperCamelCase  )

							lowerCAmelCase_      			=			[self.start]
							lowerCAmelCase_      			=			[]

							lowerCAmelCase_      			=			False




				def   __a		(      self  )       ->   Path | None:
							while self.open_nodes:
										# Open Nodes are sorted using __lt__
										self.open_nodes.sort()
										lowerCAmelCase_      			=			self.open_nodes.pop(0  )

										if current_node.pos == self.target.pos:
													lowerCAmelCase_      			=			True
													return self.retrace_path(_UpperCamelCase  )

										self.closed_nodes.append(_UpperCamelCase  )
										lowerCAmelCase_      			=			self.get_successors(_UpperCamelCase  )

										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(_UpperCamelCase  )
													else:
																# retrieve the best current path
																lowerCAmelCase_      			=			self.open_nodes.pop(self.open_nodes.index(_UpperCamelCase  )  )

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

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




				def   __a		(      self       ,       _UpperCamelCase  )       ->   list[Node]:
							lowerCAmelCase_      			=			[]
							for action in delta:
										lowerCAmelCase_      			=			parent.pos_x + action[1]
										lowerCAmelCase_      			=			parent.pos_y + action[0]

										if not (0 <= pos_x <= len(grid[0]  ) - 1 and 0 <= pos_y <= len(_UpperCamelCase  ) - 1):
													continue

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

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




				def   __a		(      self       ,       _UpperCamelCase  )       ->   Path:
							lowerCAmelCase_      			=			node
							lowerCAmelCase_      			=			[]
							while current_node is not None:
										path.append((current_node.pos_y, current_node.pos_x)  )
										lowerCAmelCase_      			=			current_node.parent
							path.reverse()
							return path


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

			print("------")

			_A     =  GreedyBestFirst(init, goal)
			_A     =  greedy_bf.search()
			if path:
						for pos_x, pos_y in path:
									_A     =  2

						for elem in grid:
									print(elem)



