tmp_vel.x = tmp_vel.y
tmp_vel.y = -tmp
particle.v = tmp_vel
mean_v = Vector3d()
for particle in particles:
mean_v += particle.v
mean_v = mean_v * (1/len(particles))
for particle in particles:
particle.v -= mean_v
for step in range(constants.steps_number):
print('s :', step)
io_xyz.write(particles, save_path, step)
for particle in particles:
particle.force = Vector3d()
for i, p1 in enumerate(particles):
for p2 in particles[i+1:]:
tmp_force = forces.base_force(p1, p2)
p1.force += tmp_force
p2.force += -tmp_force
for particle in particles:
particle.v += particle.force * constants.dt
particle.r += particle.v * constants.dt
if make_ax:
plt.show()
plt.close(fig)
del fig
# make 100 random points
input_path = '../3d/clust2.xyz'
save_path = os.path.dirname(os.path.realpath(__file__)) + '/test'
if not os.path.exists(save_path):
os.makedirs(save_path)
# P = np.reshape([random.random() * 100 for i in range(300)], (100, 3))
particles = io_xyz.read(input_path, format='Nick')
io_xyz.write(particles, save_path, 0)
# find the ellipsoid
ET = EllipsoidTool()
(center, radii, rotation) = ET.getMinVolEllipse(
np.array([[particle.r.x, particle.r.y, particle.r.z]
for particle in particles],
dtype='float32'), .01)
num_sumples = 5000
k = 0
def criterier(*args):
return True
