def test_distance_fail_with_difference_size_ip():
input_1 = np.matrix([[0, 1 / 3.], [0, 1.]], dtype=np.float32)
input_3 = np.matrix([[2 / 3., 0], [2 / 3., 2 / 3.], [0, 2 / 3.]], dtype=np.float32)
try:
compute_distance(input_1, input_3, 2)
except:
pass
else:
raise AssertionError("Different size matrices did not trigger error")
def test_distance_fail_with_difference_size_ip():
input_1 = np.matrix([[0, 1 / 3.], [0, 1.]], dtype=np.float32)
input_3 = np.matrix([[2 / 3., 0], [2 / 3., 2 / 3.], [0, 2 / 3.]],
dtype=np.float32)
try:
compute_distance(input_1, input_3, 2)
except:
pass
else:
raise AssertionError("Different size matrices did not trigger error")
def test_distance():
'''
Tests the computation of the distance of two trajectories
'''
input_1 = np.matrix([[0, 1 / 3.], [0, 1.], [2 / 3., 1.]], dtype=np.float32)
input_3 = np.matrix([[2 / 3., 0], [2 / 3., 2 / 3.], [0, 2 / 3.]], dtype=np.float32)
output = compute_distance(input_1, input_3)
assert_allclose(output, 6.18, atol=1e-2)
def test_distance_of_identical_matrices_is_min():
input_1 = np.matrix([[ 1. ,1. ],
[ 1. ,0.33333333],
[ 0.33333333 ,0.33333333]])
input_2 = input_1.copy()
actual = compute_distance(input_1, input_2)
desired = 0
assert_allclose(actual, desired, atol=1e-2)
def test_distance():
'''
Tests the computation of the distance of two trajectories
'''
input_1 = np.matrix([[0, 1 / 3.], [0, 1.], [2 / 3., 1.]], dtype=np.float32)
input_3 = np.matrix([[2 / 3., 0], [2 / 3., 2 / 3.], [0, 2 / 3.]],
dtype=np.float32)
output = compute_distance(input_1, input_3)
assert_allclose(output, 6.18, atol=1e-2)
def test_distance_of_identical_matrices_is_min():
input_1 = np.matrix([[1., 1.], [1., 0.33333333], [0.33333333, 0.33333333]])
input_2 = input_1.copy()
actual = compute_distance(input_1, input_2)
desired = 0
assert_allclose(actual, desired, atol=1e-2)
