def main():
ground = Floor() # Create the ground
ground.gen_coor() # Generate coordinates of the ground
fl_coor = ground.coor # fl_coor are the coordinates of the ground (numpy array)
# print fl_coor
ground.gen_versors() # Generate local versors in all the ground segments
par_ver = ground.par_ver #par_ver has all the parallel versos of the segments
nor_ver = ground.nor_ver #par_ver has all the parallel versos of the segments
# print par_ver
bike_test = Bike() # Initiate Bike object
bike_test.gen_rand_bike() # Random parameters
#EXAMPLE
# l0_ww = bike_test.l0_ww #
# print l0_ww
# Test Distance routine
# res = bk_gd_int(bike_test,ground)
# print res
# print w1_pos[0],w1_pos[1]
RuKu4(bike_test,ground)
bike_new = Bike()
bike_new.gen_sp_bike(bike_positions,bike_mass,k_sp)
def main():
gen_nr = 4 #NUMBER OF GENERATIONS
#First generate the Ground
ground = Floor() # Create the ground
ground.gen_coor() # Generate coordinates of the ground
ground.gen_versors() # Generate local versors in all the ground segments
#BEGIN loop to create bikes
bike_list = []
nbike = 3
i = 0
while (i < nbike):
i = i + 1
bike1 = Bike()
bike1.gen_rand_bike()
# RuKu4(bike1,ground)
Euler(bike1, ground)
score(bike1)
bike_list.append(bike1)
#print bike_list[i].bike_mass
if VISUALIZATION:
# print bike_test.traj
render = Render(ground, bike1, 1)
ani = animation.FuncAnimation(render.fig,
render.animate,
init_func=render.init_line,
frames=render.nframes,
interval=5.0,
repeat=False,
blit=True)
plt.show()
# ...ani.save('bike_motion.mp4', writer = 'mencoder', fps = 15)
#sort the bikes according to the distance passed by each one
bike_list = sorted(bike_list, key=lambda bike1: bike1.score)
new_list = new_bike(bike_list)
#END bike loop
for generation in range(gen_nr):
bike_list = []
for bike1 in new_list:
Euler(bike1, ground)
score(bike1)
bike_list.append(bike1)
#print bike_list[i].bike_mass
if VISUALIZATION:
# print bike_test.traj
render = Render(ground, bike1, 1)
ani = animation.FuncAnimation(render.fig,
render.animate,
init_func=render.init_line,
frames=render.nframes,
interval=1.0,
repeat=False,
blit=True)
plt.show()
# ...ani.save('bike_motion.mp4', writer = 'mencoder', fps = 15)
#sort the bikes according to the distance passed by each one
bike_list = sorted(bike_list, key=lambda bike1: bike1.score)
new_bike(bike_list)
