def get_xy_face_transform(tangent, up, scale):
m = v3.identity()
left = v3.cross(up, tangent)
m[:3, 0] = scale * v3.norm(left)
m[:3, 1] = scale * v3.norm(up)
m[:3, 2] = scale * v3.norm(tangent)
return m
def test_matrix_combination():
n = 4
x = v3.random_vector()
y1 = v3.vector(x)
matrix = v3.identity()
for i in range(4):
r_matrix = v3.random_matrix()
y1 = v3.transform(r_matrix, y1)
matrix = v3.combine(r_matrix, matrix)
y2 = v3.transform(matrix, x)
assert v3.is_similar_vector(y1, y2)
def test_matrix_combination():
n = 4
x = v3.random_vector()
y1 = v3.vector(x)
matrix = v3.identity()
for i in range(4):
r_matrix = v3.random_matrix()
y1 = v3.transform(r_matrix, y1)
matrix = v3.combine(r_matrix, matrix)
y2 = v3.transform(matrix, x)
assert v3.is_similar_vector(y1, y2)
def test_inverse(): m = v3.random_matrix() m_left_inv = v3.left_inverse(m) assert v3.is_similar_matrix(v3.identity(), v3.combine(m_left_inv, m))
def test_inverse():
m = v3.random_matrix()
m_left_inv = v3.left_inverse(m)
assert v3.is_similar_matrix(v3.identity(), v3.combine(m_left_inv, m))
