"""simple docstring"""

from __future__ import annotations

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






def      lowercase		(						a__	:		int ,  a__	:		List[str] ,  a__	:		Optional[Any] ,  a__	:		Dict ,  a__	:		Optional[Any] ,  )						->   int:
					_UpperCamelCase      						=	[
					    [0 for col in range(len(grid[0]     )     )] for row in range(len(_A     )     )
					]  # the reference grid
					_UpperCamelCase      						=	1
					_UpperCamelCase      						=	[
					    [0 for col in range(len(grid[0]     )     )] for row in range(len(_A     )     )
					]  # the action grid

					_UpperCamelCase      						=	init[0]
					_UpperCamelCase      						=	init[1]
					_UpperCamelCase      						=	0
					_UpperCamelCase      						=	g + heuristic[x][y]  # cost from starting cell to destination cell
					_UpperCamelCase      						=	[[f, g, x, y]]

					_UpperCamelCase      						=	False  # flag that is set when search is complete
					_UpperCamelCase      						=	False  # flag set if we can't find expand

					while not found and not resign:
										if len(_A     ) == 0:
															raise ValueError('''Algorithm is unable to find solution'''     )
										else:  # to choose the least costliest action so as to move closer to the goal
															cell.sort()
															cell.reverse()
															_UpperCamelCase      						=	cell.pop()
															_UpperCamelCase      						=	next_cell[2]
															_UpperCamelCase      						=	next_cell[3]
															_UpperCamelCase      						=	next_cell[1]

															if x == goal[0] and y == goal[1]:
																				_UpperCamelCase      						=	True
															else:
																				for i in range(len(_A     )     ):  # to try out different valid actions
																									_UpperCamelCase      						=	x + DIRECTIONS[i][0]
																									_UpperCamelCase      						=	y + DIRECTIONS[i][1]
																									if xa >= 0 and xa < len(_A     ) and ya >= 0 and ya < len(grid[0]     ):
																														if closed[xa][ya] == 0 and grid[xa][ya] == 0:
																																			_UpperCamelCase      						=	g + cost
																																			_UpperCamelCase      						=	ga + heuristic[xa][ya]
																																			cell.append([fa, ga, xa, ya]     )
																																			_UpperCamelCase      						=	1
																																			_UpperCamelCase      						=	i
					_UpperCamelCase      						=	[]
					_UpperCamelCase      						=	goal[0]
					_UpperCamelCase      						=	goal[1]
					invpath.append([x, y]     )  # we get the reverse path from here
					while x != init[0] or y != init[1]:
										_UpperCamelCase      						=	x - DIRECTIONS[action[x][y]][0]
										_UpperCamelCase      						=	y - DIRECTIONS[action[x][y]][1]
										_UpperCamelCase      						=	xa
										_UpperCamelCase      						=	ya
										invpath.append([x, y]     )

					_UpperCamelCase      						=	[]
					for i in range(len(_A     )     ):
										path.append(invpath[len(_A     ) - 1 - i]     )
					return path, action


if __name__ == "__main__":
		UpperCAmelCase       =  [
		    [0, 1, 0, 0, 0, 0],
		    [0, 1, 0, 0, 0, 0],  # 0 are free path whereas 1's are obstacles
		    [0, 1, 0, 0, 0, 0],
		    [0, 1, 0, 0, 1, 0],
		    [0, 0, 0, 0, 1, 0],
		]

		UpperCAmelCase       =  [0, 0]
		# all coordinates are given in format [y,x]
		UpperCAmelCase       =  [len(grid) - 1, len(grid[0]) - 1]
		UpperCAmelCase       =  1

		# the cost map which pushes the path closer to the goal
		UpperCAmelCase       =  [[0 for row in range(len(grid[0]))] for col in range(len(grid))]
		for i in range(len(grid)):
				for j in range(len(grid[0])):
						UpperCAmelCase       =  abs(i - goal[0]) + abs(j - goal[1])
						if grid[i][j] == 1:
								# added extra penalty in the heuristic map
								UpperCAmelCase       =  99

		UpperCAmelCase       =  search(grid, init, goal, cost, heuristic)

		print("""ACTION MAP""")
		for i in range(len(action)):
				print(action[i])

		for i in range(len(path)):
				print(path[i])






class 		UpperCAmelCase   :







						'''simple docstring'''





						def __init__(						self							:     Dict						):






							"""simple docstring"""






							snake_case_		    =     {}  # Mapping from char to TrieNode
							snake_case_		    =     False






						def        snake_case__						(						self							:     Dict       ,	__lowercase							:     list[str]						):






							"""simple docstring"""






							for word in words:
								self.insert(__lowercase						)






						def        snake_case__						(						self							:     List[str]       ,	__lowercase							:     str						):






							"""simple docstring"""






							snake_case_		    =     self
							for char in word:
								if char not in curr.nodes:
									snake_case_		    =     TrieNode()
								snake_case_		    =     curr.nodes[char]
							snake_case_		    =     True






						def        snake_case__						(						self							:     List[Any]       ,	__lowercase							:     str						):






							"""simple docstring"""






							snake_case_		    =     self
							for char in word:
								if char not in curr.nodes:
									return False
								snake_case_		    =     curr.nodes[char]
							return curr.is_leaf






						def        snake_case__						(						self							:     Optional[Any]       ,	__lowercase							:     str						):






							"""simple docstring"""






							def _delete(__lowercase							:     TrieNode       ,	__lowercase							:     str       ,	__lowercase							:     int						) -> bool:
								if index == len(__lowercase						):
									# If word does not exist
									if not curr.is_leaf:
										return False
									snake_case_		    =     False
									return len(curr.nodes						) == 0
								snake_case_		    =     word[index]
								snake_case_		    =     curr.nodes.get(__lowercase						)
								# If char not in current trie node
								if not char_node:
									return False
								# Flag to check if node can be deleted
								snake_case_		    =     _delete(__lowercase       ,	__lowercase       ,	index + 1						)
								if delete_curr:
									del curr.nodes[char]
									return len(curr.nodes						) == 0
								return delete_curr

							_delete(self       ,	__lowercase       ,	0						)







def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	if node.is_leaf:
		print(_A     ,	end=" "							)

	for key, value in node.nodes.items():
		print_words(_A     ,	word + key							)


def 						lowerCamelCase__    (		):







	'''simple docstring'''





	snake_case_		    =     "banana bananas bandana band apple all beast".split()
	snake_case_		    =     TrieNode()
	root.insert_many(_A							)
	# print_words(root, "")
	assert all(root.find(_A							) for word in words							)
	assert root.find("banana"							)
	assert not root.find("bandanas"							)
	assert not root.find("apps"							)
	assert root.find("apple"							)
	assert root.find("all"							)
	root.delete("all"							)
	assert not root.find("all"							)
	root.delete("banana"							)
	assert not root.find("banana"							)
	assert root.find("bananas"							)
	return True


def 						lowerCamelCase__    (		_A     ,	_A							):







	'''simple docstring'''





	print(str(_A							)     ,	"works!" if passes else "doesn't work :("							)


def 						lowerCamelCase__    (		):







	'''simple docstring'''





	assert test_trie()


def 						lowerCamelCase__    (		):







	'''simple docstring'''





	print_results("Testing trie functionality"     ,	test_trie()							)


if __name__ == "__main__":
		main()
