def test_corrcc_ci_2d():
data1 = np.random.rand(2, 200) * np.pi
data2 = np.asarray(data1)
out1, (out2, out3) = pycircstat.corrcc(data1, data2, ci=0.95, axis=1)
exp1, (exp2, exp3) = (np.ones(2), pycircstat.CI(np.ones(2), np.ones(2)))
assert_allclose(out1, exp1)
assert_allclose(out2, exp2)
assert_allclose(out3, exp3)
def test_corrcc_ci():
data1 = np.random.rand(200) * 2 * np.pi
data2 = np.asarray(data1)
exp = (1., pycircstat.CI(1., 1.))
assert_equal(pycircstat.corrcc(data1, data2, ci=0.95), exp)