def test_simple(self):
d = 2
n, m = 25, 30
x = randn(0, 1, (n, d))
y = randn([1, 2], 1, (m, d))
dm = xca.seuclidean(x, y)
assert_almost_equal(dm, np.hypot(1, 2), 2)
# Variance of the candidate sample does not affect answer.
x = randn(0, 1, (n, d))
y = randn([1, 2], 2, (m, d))
dm = xca.seuclidean(x, y)
assert_almost_equal(dm, np.hypot(1, 2), 2)
def test_compare_with_matlab(self):
x, y = matlab_sample()
dm = xca.seuclidean(x, y)
assert_almost_equal(dm, 2.8463, 4)