def run_animation(all_sheep, sheep_dict, herd, app_dist):
step = 0
target = np.array([550, 550], np.float64)
r_rep = 14
speed = 2
r_dist = 240
n = len(all_sheep)
# app_dist = n + 50
fn = math.sqrt(n) * r_rep
last_vector = np.zeros((n, 2), dtype=np.float32)
theta = math.pi / 6
"""设定新旧行为策略"""
herd_instance = shepherdR.Shepherd(cb.OldCBehavior())
# herd_instance = shepherdR.Shepherd(cb.NewCBehavior())
while True:
herd_point = herd.position2point().copy()
if herd_instance.switch(all_sheep, target, fn, theta):
herd_instance.driving(herd, all_sheep, speed, target, app_dist)
text = canvas.create_text(220, 20, text="driving", font=("宋体", 18))
canvas.pack()
else:
herd_instance.collecting(herd, all_sheep, speed, app_dist, target)
text = canvas.create_text(220,
20,
text="collecting",
font=("宋体", 18))
canvas.pack()
sheepR.sheep_move(herd_point, all_sheep, r_dist, r_rep, speed,
sheep_dict, last_vector)
step += 1
step_txt = canvas.create_text(420,
20,
text="steps: {}/2000".format(step),
font=("宋体", 18))
sheepR.sheep_move(herd_point, all_sheep, r_dist, r_rep, speed,
sheep_dict, last_vector)
tk.update()
canvas.delete(text)
canvas.delete(step_txt)
if common.is_all_in_target(all_sheep) or step > 2000:
for per_sheep in sheep_dict.values():
per_sheep.delete()
herd.delete()
break
return step
def run_animation(all_sheep, sheep_dict, herd):
step = 0
target = np.array([550, 550], np.float64)
r_dist = 250
r_rep = 14
speed = 2
n = len(all_sheep)
app_dist = n + 50
fn = math.sqrt(n) * r_rep
last_vector = np.zeros((n, 2), dtype=np.float32)
theta = math.pi / 6
"""设定新旧行为策略"""
herd_instance = shepherdR.Shepherd(cb.OldCBehavior())
# herd_instance = shepherdR.Shepherd(cb.NewCBehavior())
while True:
herd_point = herd.position2point().copy()
if herd_instance.switch(all_sheep, target, fn, theta):
herd_instance.driving(herd, all_sheep, speed, target, app_dist)
else:
herd_instance.collecting(herd, all_sheep, speed, app_dist, target)
sheepR.sheep_move(herd_point, all_sheep, r_dist, r_rep, speed,
sheep_dict, last_vector)
tk.update()
time.sleep(0.01)
if common.is_all_in_target(all_sheep) or step > 4000:
for per_sheep in sheep_dict.values():
per_sheep.delete()
herd.delete()
break
step += 1
return step