def test2(self):
ss = np.array([ 0.01, 0.05, 0.12, 0.2 , 0.5 , 1. , np.nan, np.nan, np.nan, np.nan])
vv = np.array([ 0.11, 0.19, 0.21, 0.22, 0.21, 0.24, np.nan, np.nan, np.nan, np.nan])
computed_intercept = intercept(ss, vv)
expected = 0.172
self.assertLessEqual(abs(computed_intercept[0] - expected)/expected,
TOLERANCE)
def testBasics(self):
size = int((1/TOLERANCE)**3)
INTERCEPT = 5
SLOPE = 3
SD = 1.0
xarray = np.array(range(size), dtype=float)
yarray = INTERCEPT + SLOPE*xarray + sp.random.normal(0, SD, size)
computed_intercept = intercept(xarray, yarray)
self.assertLessEqual(abs(computed_intercept[0] - INTERCEPT)/INTERCEPT,
TOLERANCE)
