def test2Disp(self):
q = 0.005
phi = 0.10
sigma = 0.3
value_0 = self.model.run([q, phi])
app = Smear(self.model, ['cyl_phi', 'cyl_theta'], [sigma, sigma])
val_py = app.run([q, phi])
# Check that the parameters were returned to original values
self.assertEqual(value_0, self.model.run([q, phi]))
d = DisperseModel(self.model, ["cyl_phi", "cyl_theta"], [sigma, sigma])
val_c = d.run([q, phi])
self.assertEqual(val_py, val_c)
def test2Disp(self):
q = 0.005
phi = 0.10
sigma = 0.3
value_0 = self.model.run([q, phi])
app = Smear(self.model, ['cyl_phi', 'cyl_theta'], [sigma, sigma])
val_py = app.run([q, phi])
# Check that the parameters were returned to original values
self.assertEqual(value_0, self.model.run([q, phi]))
d = DisperseModel(self.model, ["cyl_phi", "cyl_theta"], [sigma, sigma])
val_c = d.run([q, phi])
self.assertEqual(val_py, val_c)