def test_nss(self):
fm = fixmat.TestFixmatFactory(points=zip([0,500,1000],[1,10,10]),
params = {'image_size':[100,10]})
fm.SUBJECTINDEX = np.array([1,1,1])
fm.filenumber = np.array([1,1,1])
fm.category = np.array([1,1,1])
fm.x = np.array([0,50,1000])
fm.y = np.array([1,10,10])
fm.fix = np.array([1,2,3])
fm._num_fix = 3
fdm = fixmat.compute_fdm(fm[(fm.x<10) & (fm.y<10)])
self.assertRaises(IndexError, lambda: measures.nss(fdm, (fm.y, fm.x)))
def test_nss_values(self):
fm = fixmat.TestFixmatFactory(categories = [1,2,3],
filenumbers = [1,2,3,4,5,6],
subjectindices = [1, 2, 3, 4, 5, 6],
params = {'pixels_per_degree':0.1, 'image_size':[200,500]})
# Arr has zero variance, should return nan
arr = np.ones(fm.image_size)
nss = measures.nss_model(arr, fm)
self.assertTrue(np.isnan(nss))
# With itself should yield a high value
fdm = fixmat.compute_fdm(fm)
nss = measures.nss_model(fdm, fm)
self.assertTrue(nss>15)
# Fixations at these locations should give nss < 0
nss = measures.nss(fdm, [[100, 101, 102, 103, 104, 105],[0, 0, 0, 0, 0, 0]])
self.assertTrue(nss < 0)