Update 'board'
dodanie funkcji z kosztem wejścia na pola
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board
25
board
@ -1,5 +1,6 @@
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import sys
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from queue import PriorityQueue
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import numpy as np
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import pygame
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@ -165,6 +166,30 @@ def manhattan(node1, node2):
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return distance
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def f(state):#tablica z losowymi wagami(kosztami) pól, w astar trzeba zsumować wagę pola z heurystyką - f + manhattan
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weights = np.array([
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 8],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 1],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 3],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 4],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 2],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 6],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 7],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 1],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 3],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 2],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 6],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 7],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 1],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 2],
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[1, 2, 1, 4, 5, 2, 7, 8, 1, 4, 1, 3, 4, 5, 2]
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])
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pos_x = state[0]
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pos_y = state[1]
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#print(weights[pos_x][pos_y])
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return weights[pos_x][pos_y]
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class Node: #prawie jak Field w bfs
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def __init__(self, state, parent, action):
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self.state = state #position - (x, y, direction)
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