def test_translate_points(): t = gtr.Translation([100, -100, 100]) points = np.array([[1, 2, 3], [11, 22, 33], [111, 222, 333]]) assert np.all(t(points) == np.array([[101, -98, 103], [111, -78, 133], [211, 122, 433]]))
def test_pivot_rotate_point(): point = [1, 2, 3] new_orig = np.array([10., 45., 50.]) t = gtr.Translation(new_orig) t_inv = gtr.Translation(new_orig * -1) R = gtr._rodrigues_to_dcm(TEST_UVEC, np.pi) # change origin, rotate 180 p1 = gtr.PivotRotation(R, new_orig)(point) # do the steps manually p2 = t_inv(point) p2 = gtr.Rotation(R)(p2) p2 = t(p2) assert p1.tolist() == p2.tolist()
def test_pivot_rotate_points(): points = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9], [10, 11, 12]]) new_orig = np.array([10., 45., 50.]) t = gtr.Translation(new_orig) t_inv = gtr.Translation(new_orig * -1) R = gtr._rodrigues_to_dcm(TEST_UVEC, np.pi) # change origin, rotate 180 p1 = gtr.PivotRotation(R, new_orig)(points) # do the steps manually p2 = t_inv(points) p2 = gtr.Rotation(R)(p2) p2 = t(p2) nt.assert_true(np.all(p1 == p2))
def test_translate_point(): t = gtr.Translation([100, -100, 100]) point = [1, 2, 3] assert t(point).tolist() == [101, -98, 103]
def test_transform_translate_neuron_h5(): t = np.array([100., 100., 100.]) nrn = load_neuron(H5_NRN_PATH) tnrn = nrn.transform(gtr.Translation(t)) _check_fst_nrn_translate(nrn, tnrn, t)
def test_translate_point(): t = gtr.Translation([100, -100, 100]) point = [1, 2, 3] nt.assert_equal(t(point).tolist(), [101, -98, 103])