Merge pull request 'movement_planning' (#2) from movement_planning into master
Reviewed-on: #2
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b8c51c0d70
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__pycache__/astar.cpython-310.pyc
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__pycache__/astar.cpython-310.pyc
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__pycache__/bfs.cpython-310.pyc
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__pycache__/bfs.cpython-310.pyc
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__pycache__/garbage_truck.cpython-310.pyc
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__pycache__/garbage_truck.cpython-310.pyc
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__pycache__/heuristicfn.cpython-310.pyc
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__pycache__/heuristicfn.cpython-310.pyc
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__pycache__/main.cpython-310.pyc
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__pycache__/main.cpython-310.pyc
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__pycache__/state.cpython-310.pyc
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__pycache__/state.cpython-310.pyc
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__pycache__/succ.cpython-310.pyc
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__pycache__/succ.cpython-310.pyc
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astar.py
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astar.py
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@ -0,0 +1,61 @@
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from succ import succ as successors
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from queue import PriorityQueue
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from state import State
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def astar(istate, goalx, goaly, passedFields):
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fringe = PriorityQueue()
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fringe.put(istate)
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explored = set()
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steps = []
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while not fringe.empty():
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state = fringe.get()
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if state.xpos == goalx and state.ypos == goaly:
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steps.insert(0, state)
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while (state.parent != None):
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state = state.parent
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steps.insert(0, state)
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return steps
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element = successors(state, passedFields, goalx, goaly)
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explored.add((state.xpos, state.ypos, state.orientation))
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for value in element:
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val = (value.xpos, value.ypos, value.orientation)
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if val in explored:
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continue
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cost = state.priority + value.priority
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succesorState = State(state, value.action,
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value.xpos, value.ypos,
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value.orientation, cost,
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value.heuristic)
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if value not in fringe.queue:
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fringe.put(succesorState)
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else :
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for element in fringe.queue:
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if (element.xpos==value.xpos and element.ypos==value.ypos) and element > value:
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element.parent = state
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element.priority = value.priority
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return False
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# def bfs(istate, goalx, goaly, passedFields):
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# fringe = [istate]
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# explored = []
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# steps = []
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# while fringe:
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# state = fringe.pop(0)
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# if state.xpos == goalx and state.ypos == goaly:
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# steps.insert(0, state)
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# while (state.parent != None):
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# state = state.parent
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# steps.insert(0, state)
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# return steps
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# element = successors(state, passedFields)
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# explored.append((state.xpos, state.ypos, state.orientation))
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# for value in element:
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# val = (value.xpos, value.ypos, value.orientation)
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# if val not in explored and value not in fringe:
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# fringe.append(value)
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# return False
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@ -1,3 +1,5 @@
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FIELDWIDTH = 50
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class GarbageTank:
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def __init__(self, volume_capacity, mass_capacity):
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self.vcapacity = volume_capacity #m^3
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@ -8,10 +10,27 @@ class Engine:
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self.power = power #HP
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class GarbageTruck:
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def __init__(self, dump_location, fuel_capacity, start_pos):
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def __init__(self, dump_location, fuel_capacity, rect, orientation):
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self.dump_location = dump_location
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self.tank = GarbageTank(15, 18000)
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self.engine = Engine(400)
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self.fuel = fuel_capacity
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self.pos = start_pos
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self.rect = rect
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self.orientation = orientation
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self.houses = [] #lista domów do odwiedzenia
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def turn_left(self):
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self.orientation = (self.orientation - 1) % 4
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def turn_right(self):
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self.orientation = (self.orientation + 1) % 4
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def forward(self):
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if self.orientation == 0:
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self.rect.x += FIELDWIDTH
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elif self.orientation == 1:
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self.rect.y += FIELDWIDTH
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elif self.orientation == 2:
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self.rect.x -= FIELDWIDTH
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else:
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self.rect.y -= FIELDWIDTH
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3
heuristicfn.py
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heuristicfn.py
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@ -0,0 +1,3 @@
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def heuristicfn(startx, starty, goalx, goaly):
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return abs(startx - goalx) + abs(starty - goaly)
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# return pow(((startx//50)-(starty//50)),2) + pow(((goalx//50)-(goaly//50)),2)
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87
main.py
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main.py
@ -1,5 +1,10 @@
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import pygame
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import random
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from astar import astar
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from state import State
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import time
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from garbage_truck import GarbageTruck
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from heuristicfn import heuristicfn
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pygame.init()
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WIDTH, HEIGHT = 800, 800
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@ -16,52 +21,90 @@ SAND = pygame.transform.scale(SAND_IMG, (50, 50))
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COBBLE_IMG = pygame.image.load("cobble.jpeg")
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COBBLE = pygame.transform.scale(COBBLE_IMG, (50, 50))
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FPS = 10
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FIELDCOUNT = 16
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FIELDWIDTH = 50
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class Agent:
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def __init__(self, rect, direction):
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self.rect = rect
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self.direction = direction
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def randomize_map(): # tworzenie mapy z losowymi polami
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fields_list = [DIRT, GRASS, SAND, COBBLE]
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field_array_1 = []
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field_array_2 = []
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field_priority = []
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for i in range(16):
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temp_priority = []
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for j in range(16):
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field_array_2.append(random.choice(fields_list))
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if i in (0, 1) and j in (0, 1):
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field_array_2.append(GRASS)
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temp_priority.append(1)
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else:
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prob = random.uniform(0, 100)
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if 0 <= prob <= 12:
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field_array_2.append(COBBLE)
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temp_priority.append(3)
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elif 12 < prob <= 24:
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field_array_2.append(SAND)
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temp_priority.append(2)
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else:
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field_array_2.append(GRASS)
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temp_priority.append(1)
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field_array_1.append(field_array_2)
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field_array_2 = []
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return field_array_1
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field_priority.append(temp_priority)
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return field_array_1, field_priority
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def draw_window(agent, fields):
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def draw_window(agent, fields, flip):
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if flip:
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direction = pygame.transform.flip(AGENT, True, False)
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else:
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direction = pygame.transform.flip(AGENT, False, False)
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for i in range(16):
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for j in range(16):
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window.blit(fields[i][j], (i * 50, j * 50))
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window.blit(AGENT, (agent.x, agent.y)) # wyswietlanie agenta
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window.blit(direction, (agent.rect.x, agent.rect.y)) # wyswietlanie agenta
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pygame.display.update()
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def agent_movement(keys_pressed, agent): # sterowanie
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if keys_pressed[pygame.K_LEFT] and agent.x > 0:
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agent.x -= 50
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if keys_pressed[pygame.K_RIGHT] and agent.x < 750:
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agent.x += 50
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if keys_pressed[pygame.K_UP] and agent.y > 0:
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agent.y -= 50
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if keys_pressed[pygame.K_DOWN] and agent.y < 750:
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agent.y += 50
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def main():
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clock = pygame.time.Clock()
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run = True
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agent = pygame.Rect(0, 0, 50, 50) # tworzenie pola dla agenta
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fields = randomize_map()
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x, y = [0, 0]
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agent = GarbageTruck(0, 0, pygame.Rect(x, y, 50, 50), 0) # tworzenie pola dla agenta
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fields, priority_array = randomize_map()
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print(priority_array)
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final_x, final_y = [100, 300]
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while run:
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clock.tick(FPS)
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for event in pygame.event.get(): # przechwycanie zamknięcia okna
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for event in pygame.event.get():
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if event.type == pygame.QUIT:
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run = False
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keys_pressed = pygame.key.get_pressed()
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draw_window(agent, fields)
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agent_movement(keys_pressed, agent)
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# keys_pressed = pygame.key.get_pressed()
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draw_window(agent, fields, False) # false = kierunek east (domyslny), true = west
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steps = astar(State(None, None, x, y, 'E', priority_array[0][0], heuristicfn(x, y, final_x, final_y)), final_x, final_y, priority_array)
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for interm in steps:
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if interm.action == 'LEFT':
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agent.turn_left()
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draw_window(agent, fields, True)
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elif interm.action == 'RIGHT':
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agent.turn_right()
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draw_window(agent, fields, False)
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elif interm.action == 'FORWARD':
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agent.forward()
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if agent.orientation == 0:
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draw_window(agent, fields, False)
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elif agent.orientation == 2:
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draw_window(agent, fields, True)
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else:
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draw_window(agent, fields, False)
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time.sleep(0.5)
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while True:
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pass
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pygame.quit()
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11
state.py
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state.py
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class State:
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def __init__(self, parent, action, xpos, ypos, orientation, priority, heuristic):
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self.parent = parent
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self.xpos = xpos
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self.ypos = ypos
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self.orientation = orientation
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self.action = action
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self.priority = priority
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self.heuristic = heuristic
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def __gt__(self, other):
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return self.priority > other.priority
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31
succ.py
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succ.py
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from state import State
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from heuristicfn import heuristicfn
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FIELDWIDTH, FIELDCOUNT = 50, 16
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def succ(st: State, passedPriorities, goalx, goaly):
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successors = []
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if st.orientation == 'N':
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successors.append(State(st, 'LEFT', st.xpos, st.ypos, 'W', passedPriorities[st.xpos//50][st.ypos//50], heuristicfn(st.xpos, st.ypos, goalx, goaly)))
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successors.append(State(st, 'RIGHT', st.xpos, st.ypos, 'E', passedPriorities[st.xpos//50][st.ypos//50], heuristicfn(st.xpos, st.ypos, goalx, goaly)))
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if st.ypos > 0:
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successors.append(State(st, 'FORWARD', st.xpos, st.ypos - FIELDWIDTH , 'N', passedPriorities[st.xpos//50][st.ypos//50], heuristicfn(st.xpos, st.ypos, goalx, goaly)))
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if st.orientation == 'S':
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successors.append(State(st, 'LEFT', st.xpos, st.ypos, 'E', passedPriorities[st.xpos//50][st.ypos//50], heuristicfn(st.xpos, st.ypos, goalx, goaly)))
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successors.append(State(st,'RIGHT', st.xpos, st.ypos, 'W', passedPriorities[st.xpos//50][st.ypos//50], heuristicfn(st.xpos, st.ypos, goalx, goaly)))
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if st.ypos < FIELDWIDTH * (FIELDCOUNT - 1):
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successors.append(State(st, 'FORWARD', st.xpos, st.ypos + FIELDWIDTH , 'S', passedPriorities[st.xpos//50][st.ypos//50], heuristicfn(st.xpos, st.ypos, goalx, goaly)))
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if st.orientation == 'W':
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successors.append(State(st, 'LEFT', st.xpos, st.ypos, 'S', passedPriorities[st.xpos//50][st.ypos//50], heuristicfn(st.xpos, st.ypos, goalx, goaly)))
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successors.append(State(st,'RIGHT', st.xpos, st.ypos, 'N', passedPriorities[st.xpos//50][st.ypos//50], heuristicfn(st.xpos, st.ypos, goalx, goaly)))
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if st.xpos > 0:
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successors.append(State(st, 'FORWARD', st.xpos - FIELDWIDTH , st.ypos, 'W', passedPriorities[st.xpos//50][st.ypos//50], heuristicfn(st.xpos, st.ypos, goalx, goaly)))
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if st.orientation == 'E':
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successors.append(State(st, 'LEFT', st.xpos, st.ypos, 'N', passedPriorities[st.xpos//50][st.ypos//50], heuristicfn(st.xpos, st.ypos, goalx, goaly)))
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successors.append(State(st, 'RIGHT', st.xpos, st.ypos, 'S', passedPriorities[st.xpos//50][st.ypos//50], heuristicfn(st.xpos, st.ypos, goalx, goaly)))
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if st.xpos < FIELDWIDTH * (FIELDCOUNT - 1):
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successors.append(State(st, 'FORWARD', st.xpos + FIELDWIDTH , st.ypos, 'E', passedPriorities[st.xpos//50][st.ypos//50], heuristicfn(st.xpos, st.ypos, goalx, goaly)))
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return successors
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