def test_general_object_interpolation(self):
R_r = generate_rotation_rotor(
np.pi / 16, e2, e3) * generate_rotation_rotor(np.pi / 4, e1, e2)
R_d = generate_dilation_rotor(1.5)
R_t = generate_translation_rotor(e3)
R = (R_t * R_r * R_d).normal()
# C1 = (up(0+3*e1)^up(2*e1+3*e1)).normal()
C1 = (up(0 + 3 * e1) ^ up(2 * e1 + 3 * e1)
^ up(e1 + e3 + 3 * e1)).normal()
C2 = (R * C1 * ~R).normal()(3)
C3 = (R * C2 * ~R).normal()(3)
C4 = (R * C3 * ~R).normal()(3)
C5 = (R * C4 * ~R).normal()(3)
object_list = [C1, C2, C3, C4, C5]
object_alpha_array = np.array([0.0, 0.25, 0.5, 0.75, 1.0])
new_alpha_array = np.linspace(0.0, 1.0)
new_object_list = general_object_interpolation(object_alpha_array,
object_list,
new_alpha_array,
kind='quadratic')
new_object_list = [o(3) for o in new_object_list]
draw_objects(object_list, 'circle', color='rgb(255,0,0)')
draw_objects(new_object_list, 'circle', color='rgb(0,255,0)')
time.sleep(1)
def test_general_object_interpolation(self):
R_r = generate_rotation_rotor(np.pi / 16, e2, e3) * generate_rotation_rotor(np.pi / 4, e1, e2)
R_d = generate_dilation_rotor(1.5)
R_t = generate_translation_rotor(e3)
R = (R_t * R_r * R_d).normal()
# C1 = (up(0+3*e1)^up(2*e1+3*e1)).normal()
C1 = (up(0 + 3 * e1) ^ up(2 * e1 + 3 * e1) ^ up(e1 + e3 + 3 * e1)).normal()
C2 = (R * C1 * ~R).normal()(3)
C3 = (R * C2 * ~R).normal()(3)
C4 = (R * C3 * ~R).normal()(3)
C5 = (R * C4 * ~R).normal()(3)
object_list = [C1, C2, C3, C4, C5]
object_alpha_array = np.array([0.0, 0.25, 0.5, 0.75, 1.0])
new_alpha_array = np.linspace(0.0, 1.0)
new_object_list = general_object_interpolation(object_alpha_array, object_list, new_alpha_array,
kind='quadratic')
new_object_list = [o(3) for o in new_object_list]
draw_objects(object_list, 'circle', color='rgb(255,0,0)')
draw_objects(new_object_list, 'circle', color='rgb(0,255,0)')
time.sleep(1)
def test_simplify_scene(self):
object_generator = random_line
n_clusters = 3
n_objects_per_cluster = 5
threshold = 2.0
all_objects, object_clusters = generate_n_clusters(
object_generator, n_clusters, n_objects_per_cluster)
all_object_copy1 = [o for o in all_objects]
all_object_copy1 = simplify_scene(all_object_copy1, threshold)
print(len(all_object_copy1))
# assert len(all_object_copy) == n_clusters
all_object_copy2 = [o for o in all_objects]
all_object_copy2 = simplify_scene(all_object_copy2, threshold)
print(len(all_object_copy2))
draw_objects(all_object_copy1)
draw_objects(all_object_copy2, color='rgb(255,0,0)')
def test_simplify_scene(self):
object_generator = random_line
n_clusters = 3
n_objects_per_cluster = 5
threshold = 2.0
all_objects, object_clusters = generate_n_clusters(object_generator,
n_clusters,
n_objects_per_cluster)
all_object_copy1 = [o for o in all_objects]
all_object_copy1 = simplify_scene(all_object_copy1, threshold)
print(len(all_object_copy1))
# assert len(all_object_copy) == n_clusters
all_object_copy2 = [o for o in all_objects]
all_object_copy2 = simplify_scene(all_object_copy2, threshold)
print(len(all_object_copy2))
draw_objects(all_object_copy1)
draw_objects(all_object_copy2, color='rgb(255,0,0)')
def test_draw_objects(self):
scene = ConformalMVArray([random_line() for i in range(100)])
sc_a = str(draw_objects(scene))
scene.save('test.ga')
sc_b = str(draw_objects('test.ga'))
assert sc_a == sc_b
def test_draw_objects(self):
scene = ConformalMVArray([random_line() for i in range(100)])
sc_a = str(draw_objects(scene))
scene.save('test.ga')
sc_b = str(draw_objects('test.ga'))
assert sc_a == sc_b