def setup():
world = PolygonWorld(20, 20, 30, 200)
sim = simcx.PyafaiSimulator(world)
vis = simcx.PyafaiVisual(sim)
display = simcx.Display()
display.add_simulator(sim)
display.add_visual(vis, 0, 0)
def setup(equal_threshold):
world = PolygonWorld(20, 20, 30, equal_threshold=equal_threshold)
sim = simcx.PyafaiSimulator(world)
vis = simcx.PyafaiVisual(sim)
display = simcx.Display()
display.add_simulator(sim)
display.add_visual(vis, 0, 200)
display.add_visual(SegregationPlot(sim, width=600, height=200))
def setup(n, width=800, height=600):
world = pyafai.World2D(width, height)
sim = simcx.PyafaiSimulator(world)
vis = simcx.PyafaiVisual(sim)
display = simcx.Display(width, height, caption="Random Walkers")
display.add_simulator(sim)
display.add_visual(vis)
# Create agents
x = np.random.randint(10, width - 10, n)
y = np.random.randint(10, height - 10, n)
speed = np.random.randint(50, 100, n)
angle = np.random.randint(0, 359, n)
for i in range(n):
ag = RandomWalker(x[i], y[i], speed[i], angle[i],
('c3B',
(random.randint(0, 255), random.randint(
0, 255), random.randint(0, 255))), 5)
world.add_agent(ag)
# generate initial positions
self.x = np.random.normal(0, 1, self.n)
self.y = np.random.normal(0, 1, self.n)
class PointsVisual(simcx.MplVisual):
def __init__(self, sim: RandomParticles):
super(PointsVisual, self).__init__(sim)
# create initial plot
self.ax = self.figure.add_subplot(111)
self.ax.set_xlim(-4, 4)
self.ax.set_ylim(-4, 4)
self.l, = self.ax.plot(self.sim.x, self.sim.y, '.')
def draw(self):
self.l.set_data(self.sim.x, self.sim.y)
if __name__ == '__main__':
sim = RandomParticles()
vis = PointsVisual(sim)
display = simcx.Display()
display.add_simulator(sim)
display.add_visual(vis)
# record the simulation on video
display.start_recording('random.mp4')
simcx.run()
#
# elif self.freq == 1 and self.sim.values[x][y].freq == 0:
# self._grid[y][x].colors[:] = self.QUAD_WHITE
# elif self.pheromone == 0 and self.trail == 0 and self.freq == 0:
# self._grid[y][x].colors[:] = self.QUAD_WHITE
if __name__ == '__main__':
move_type = "von"
pick_type = "moore"
map_x = 45
map_y = 45
initial_ants = 50
initial_sticks = 50
backwards = 1 # 1-> can go backwards || 0 -> cannot go backwards
warp = 1 # 1-> map warps || 0 -> map does not warp
zones = None
#zones = [[0, 0, 0, 00, 100, 0, 0, 0, 0], [0, 0, 0, 0, 50, 0, 0, 0, 0]]
pheromone = 0 # -> 0 no pheromone | 1 -> pheromone allways | 2 -> pheromone only when carrying
aas = AntsAndSticks(move_type, pick_type, map_x, map_y, initial_ants,
initial_sticks, backwards, warp, zones, pheromone)
vis = Grid2D(aas, 5, trail=1, pheromone=0, freq=0)
display = simcx.Display(interval=0.05)
display.add_simulator(aas)
display.add_visual(vis)
simcx.run()
self._batch.draw()
def update_graphics(self):
y = self.size // 2 - self.sim.cur_step + 1
for x in range(self.size):
if self.sim.values[x] == 1:
self._batch.add(
4, pyglet.gl.GL_QUADS, None,
('v2i',
(x * self._cell, y * self._cell,
x * self._cell + self._cell, y * self._cell,
x * self._cell + self._cell, y * self._cell + self._cell,
x * self._cell, y * self._cell + self._cell)),
('c3B', self.QUAD_BLACK))
if __name__ == '__main__':
display = simcx.Display(interval=0.2, visible=False)
ca126 = CA(126, 101)
ca126.init_fixed()
display.add_simulator(ca126)
vis = CAVisual(ca126, 10)
display.add_visual(vis)
display.set_visible(True)
simcx.run()