astar implementation #3
85
astar_search.py
Normal file
85
astar_search.py
Normal file
@ -0,0 +1,85 @@
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class Node:
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def __init__(self, state, parent='', action=''):
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self.state = state
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self.parent = parent
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self.action = action
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class Search:
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def __init__(self, cell_size, cell_number):
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self.cell_size = cell_size
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self.cell_number = cell_number
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def succ(self, state):
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x = state[0]
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y = state[1]
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angle = state[2]
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match(angle):
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case 'UP':
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possible = [['left', x, y, 'LEFT'], ['right', x, y, 'RIGHT']]
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if y != 0: possible.append(['move', x, y - self.cell_size, 'UP'])
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return possible
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case 'RIGHT':
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possible = [['left', x, y, 'UP'], ['right', x, y, 'DOWN']]
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if x != self.cell_size*(self.cell_number-1): possible.append(['move', x + self.cell_size, y, 'RIGHT'])
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return possible
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case 'DOWN':
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possible = [['left', x, y, 'RIGHT'], ['right', x, y, 'LEFT']]
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if y != self.cell_size*(self.cell_number-1): possible.append(['move', x, y + self.cell_size, 'DOWN'])
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return possible
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case 'LEFT':
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possible = [['left', x, y, 'DOWN'], ['right', x, y, 'UP']]
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if x != 0: possible.append(['move', x - self.cell_size, y, 'LEFT'])
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return possible
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#bandaid to know about stones
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def astarsearch(self, istate, goaltest, stones):
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#to be expanded
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def cost(x, y):
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if (x, y) in stones:
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return 10
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else:
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return 1
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x = istate[0]
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y = istate[1]
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angle = istate[2]
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fringe = [(Node([x, y, angle]), cost(x, y))] # queue (moves/states to check)
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explored = []
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while True:
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if len(fringe) == 0:
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return False
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fringe.sort(key=lambda x: x[1])
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elem = fringe.pop(0)[0]
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# if goal_test(elem.state):
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# return
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# print(elem.state[0], elem.state[1], elem.state[2])
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if elem.state[0] == goaltest[0] and elem.state[1] == goaltest[1]: # checks if we reached the given point
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steps = []
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while elem.parent:
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steps.append([elem.action, elem.state[0], elem.state[1]]) # should return only elem.action in prod
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elem = elem.parent
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steps.reverse()
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print(steps) # only for dev
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return steps
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explored.append(elem.state)
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for (action, state_x, state_y, state_angle) in self.succ(elem.state):
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x = Node([state_x, state_y, state_angle], elem, action)
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priority = cost(state_x, state_y)
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fringe_states = [node.state for (node, p) in fringe]
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if x.state not in fringe_states and x.state not in explored:
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fringe.append((x, priority))
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elif x.state in fringe_states:
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for i in range(len(fringe)):
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if fringe[i][0].state == x.state:
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if fringe[i][1] > priority:
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fringe[i] = (x, priority)
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@ -5,6 +5,7 @@ import soil
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class Blocks:
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def __init__(self, parent_screen,cell_size):
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self.parent_screen = parent_screen
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self.flower_image = pygame.image.load(r'resources/flower.png').convert_alpha()
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@ -28,6 +29,9 @@ class Blocks:
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self.soil = soil.Soil()
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self.stones = set()
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#bandaid to let astar know about stones
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def locate_blocks(self, blocks_number, cell_number, body):
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for i in range(blocks_number):
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self.x = random.randint(0, cell_number-1)
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@ -47,6 +51,8 @@ class Blocks:
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self.parent_screen.blit(self.alive_leaf_image, (x, y))
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if color == 'stone':
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self.parent_screen.blit(self.stone_image, (x, y))
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#bandaid to let astar know about stones
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self.stones.add((x, y))
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if color == 'flower':
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self.parent_screen.blit(self.flower_image, (x, y))
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if color == 'fawn_seed':
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9
main.py
9
main.py
@ -4,7 +4,7 @@ import random
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import land
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import tractor
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import blocks
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import graph_search
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import astar_search
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from pygame.locals import *
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@ -69,7 +69,7 @@ class Game:
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move_tractor_event = pygame.USEREVENT + 1
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pygame.time.set_timer(move_tractor_event, 1000) # tractor moves every 1000 ms
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tractor_next_moves = []
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graph_search_object = graph_search.Search(self.cell_size, self.cell_number)
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astar_search_object = astar_search.Search(self.cell_size, self.cell_number)
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while running:
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clock.tick(60) # manual fps control not to overwork the computer
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@ -100,8 +100,9 @@ class Game:
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print("Generated target: ",random_x, random_y)
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# below line should be later moved into tractor.py
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angles = {0: 'UP', 90: 'RIGHT', 270: 'LEFT', 180: 'DOWN'}
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tractor_next_moves = graph_search_object.graphsearch(
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[self.tractor.x, self.tractor.y, angles[self.tractor.angle]], [random_x, random_y])
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#bandaid to know about stones
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tractor_next_moves = astar_search_object.astarsearch(
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[self.tractor.x, self.tractor.y, angles[self.tractor.angle]], [random_x, random_y], self.blocks.stones)
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else:
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self.tractor.move(tractor_next_moves.pop(0)[0], self.cell_size, self.cell_number)
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elif event.type == QUIT:
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Block a user