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Fix multi heuristic astar algo (#4612)
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@ -2,6 +2,8 @@ import heapq
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import numpy as np
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import numpy as np
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TPos = tuple[int, int]
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class PriorityQueue:
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class PriorityQueue:
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def __init__(self):
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def __init__(self):
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@ -53,24 +55,24 @@ class PriorityQueue:
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return (priority, item)
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return (priority, item)
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def consistent_heuristic(P, goal):
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def consistent_heuristic(P: TPos, goal: TPos):
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# euclidean distance
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# euclidean distance
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a = np.array(P)
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a = np.array(P)
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b = np.array(goal)
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b = np.array(goal)
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return np.linalg.norm(a - b)
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return np.linalg.norm(a - b)
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def heuristic_2(P, goal):
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def heuristic_2(P: TPos, goal: TPos):
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# integer division by time variable
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# integer division by time variable
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return consistent_heuristic(P, goal) // t
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return consistent_heuristic(P, goal) // t
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def heuristic_1(P, goal):
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def heuristic_1(P: TPos, goal: TPos):
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# manhattan distance
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# manhattan distance
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return abs(P[0] - goal[0]) + abs(P[1] - goal[1])
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return abs(P[0] - goal[0]) + abs(P[1] - goal[1])
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def key(start, i, goal, g_function):
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def key(start: TPos, i: int, goal: TPos, g_function: dict[TPos, float]):
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ans = g_function[start] + W1 * heuristics[i](start, goal)
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ans = g_function[start] + W1 * heuristics[i](start, goal)
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return ans
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return ans
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@ -117,7 +119,7 @@ def do_something(back_pointer, goal, start):
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quit()
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quit()
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def valid(p):
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def valid(p: TPos):
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if p[0] < 0 or p[0] > n - 1:
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if p[0] < 0 or p[0] > n - 1:
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return False
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return False
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if p[1] < 0 or p[1] > n - 1:
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if p[1] < 0 or p[1] > n - 1:
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@ -215,7 +217,6 @@ blocks_blk = [
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(18, 1),
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(18, 1),
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(19, 1),
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(19, 1),
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]
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]
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blocks_no = []
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blocks_all = make_common_ground()
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blocks_all = make_common_ground()
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@ -233,7 +234,7 @@ goal = (n - 1, n - 1)
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t = 1
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t = 1
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def multi_a_star(start, goal, n_heuristic):
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def multi_a_star(start: TPos, goal: TPos, n_heuristic: int):
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g_function = {start: 0, goal: float("inf")}
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g_function = {start: 0, goal: float("inf")}
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back_pointer = {start: -1, goal: -1}
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back_pointer = {start: -1, goal: -1}
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open_list = []
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open_list = []
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@ -243,8 +244,8 @@ def multi_a_star(start, goal, n_heuristic):
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open_list.append(PriorityQueue())
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open_list.append(PriorityQueue())
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open_list[i].put(start, key(start, i, goal, g_function))
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open_list[i].put(start, key(start, i, goal, g_function))
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close_list_anchor = []
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close_list_anchor: list[int] = []
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close_list_inad = []
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close_list_inad: list[int] = []
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while open_list[0].minkey() < float("inf"):
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while open_list[0].minkey() < float("inf"):
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for i in range(1, n_heuristic):
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for i in range(1, n_heuristic):
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# print(open_list[0].minkey(), open_list[i].minkey())
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# print(open_list[0].minkey(), open_list[i].minkey())
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