def test_scale_from_matrix():
factor = random.random() * 10 - 5
origin = np.random.random(3) - 0.5
direct = np.random.random(3) - 0.5
S0 = t.scale_matrix(factor, origin)
factor, origin, direction = t.scale_from_matrix(S0)
S1 = t.scale_matrix(factor, origin, direction)
assert_equal(t.is_same_transform(S0, S1), True)
S0 = t.scale_matrix(factor, origin, direct)
factor, origin, direction = t.scale_from_matrix(S0)
S1 = t.scale_matrix(factor, origin, direction)
assert_equal(t.is_same_transform(S0, S1), True)
def test_scale_from_matrix():
factor = 7
origin = np.array([0.2, 0.2, 0.2]) # arbitrary values
direct = np.array([0.4, 0.4, 0.4])
S0 = t.scale_matrix(factor, origin)
factor, origin, direction = t.scale_from_matrix(S0)
S1 = t.scale_matrix(factor, origin, direction)
assert_equal(t.is_same_transform(S0, S1), True)
S0 = t.scale_matrix(factor, origin, direct)
factor, origin, direction = t.scale_from_matrix(S0)
S1 = t.scale_matrix(factor, origin, direction)
assert_equal(t.is_same_transform(S0, S1), True)
def test_scale_from_matrix():
factor = random.random() * 10 - 5
origin = np.random.random(3) - 0.5
direct = np.random.random(3) - 0.5
S0 = t.scale_matrix(factor, origin)
factor, origin, direction = t.scale_from_matrix(S0)
S1 = t.scale_matrix(factor, origin, direction)
assert_equal(t.is_same_transform(S0, S1), True)
S0 = t.scale_matrix(factor, origin, direct)
factor, origin, direction = t.scale_from_matrix(S0)
S1 = t.scale_matrix(factor, origin, direction)
assert_equal(t.is_same_transform(S0, S1), True)
def test_scale_from_matrix():
factor = 7
origin = np.array([0.2, 0.2, 0.2]) # arbitrary values
direct = np.array([0.4, 0.4, 0.4])
S0 = t.scale_matrix(factor, origin)
factor, origin, direction = t.scale_from_matrix(S0)
S1 = t.scale_matrix(factor, origin, direction)
assert_equal(t.is_same_transform(S0, S1), True)
S0 = t.scale_matrix(factor, origin, direct)
factor, origin, direction = t.scale_from_matrix(S0)
S1 = t.scale_matrix(factor, origin, direction)
assert_equal(t.is_same_transform(S0, S1), True)
