def test_resid_dist():
dv = np.array([1, 2, 3, 4, 5])
# residualizing against self should yield 0
assert np.allclose(correct._resid_dist(dv, iv=dv), 0)
# residualizing against perfectly anticorrelated should also yield 0
assert np.allclose(correct._resid_dist(dv, iv=dv[::-1]), 0)
# residualizing against scaled self should also yield 0 (intercept incl)
assert np.allclose(correct._resid_dist(dv, iv=(dv + 10)), 0)
# residualizing against constant should yield de-meaned input
assert np.allclose(correct._resid_dist(dv, iv=np.ones_like(dv)),
dv - dv.mean())
def test_resid_dist(dv, independent, expected):
"""
residualizing against self should yield 0
residualizing against perfectly anticorrelated should also yield 0
residualizing against scaled self should also yield 0 (intercept incl)
residualizing against constant should yield de-meaned input
"""
assert np.allclose(correct._resid_dist(dv, iv=eval(independent)),
eval(expected))