def test_conv(self):
x = np.array([1,2,3])
h = np.array([0,1,0.5])
y = vt.conv(x,h)
yCorrect = np.array([ 7.49400542e-16, 1.00000000e+00, 2.50000000e+00,
4.00000000e+00, 1.50000000e+00])
for ind in np.arange(len(y)):
self.assertAlmostEqual(y[ind],yCorrect[ind])
def test_conv_complex(self):
x = np.array([1,2,3])
h = np.array([0,1,0.5])
y = vt.conv(x,h*1j)
yCorrect = np.array([-4.99600361e-16 +7.77156117e-16j,
2.22044605e-16 +1.00000000e+00j,
6.60257881e-17 +2.50000000e+00j,
-3.88578059e-16 +4.00000000e+00j, 1.72084569e-15 +1.50000000e+00j])
for ind in np.arange(len(y)):
self.assertAlmostEqual(y[ind],yCorrect[ind])
def time_conv(self, n):
vt.conv(self.x, self.h)
