def test_simple(self):
d = 2
n, m = 200, 200
np.random.seed(1)
x = np.random.randn(n, d)
y = np.random.randn(m, d)
# Almost identical samples
dm = xca.nearest_neighbor(x + 0.001, x)
assert_almost_equal(dm, 0, 2)
# Same distribution but mixed
dm = xca.nearest_neighbor(x, y)
assert_almost_equal(dm, 0.5, 1)
# Two completely different distributions
dm = xca.nearest_neighbor(x + 10, y)
assert_almost_equal(dm, 1, 2)
def test_compare_with_matlab(self):
x, y = matlab_sample()
dm = xca.nearest_neighbor(x, y)
assert_almost_equal(dm, 1, 4)