def test_gaussian_deriv(self):
"""Test gaussian derivative pulse."""
amp = 0.5
center = 10
sigma = 2
times, dt = np.linspace(0, 20, 1000, retstep=True)
deriv_prefactor = -sigma**2/(times-center)
gaussian_deriv_arr = continuous.gaussian_deriv(times, amp, center, sigma)
gaussian_arr = gaussian_deriv_arr*deriv_prefactor
self.assertEqual(gaussian_deriv_arr.dtype, np.complex_)
self.assertAlmostEqual(continuous.gaussian_deriv(np.array([0]), amp, center, sigma)[0],
0, places=5)
self.assertAlmostEqual(np.sum(gaussian_arr*dt), amp*np.sqrt(2*np.pi*sigma**2), places=3)
def test_gaussian_deriv(self):
"""Test discrete sampled gaussian derivative pulse."""
amp = 0.5
sigma = 2
duration = 10
center = duration/2
times = np.arange(0, duration) + 0.5
gaussian_deriv_ref = continuous.gaussian_deriv(times, amp, center, sigma)
gaussian_deriv_pulse = library.gaussian_deriv(duration, amp, sigma)
self.assertIsInstance(gaussian_deriv_pulse, Waveform)
np.testing.assert_array_almost_equal(gaussian_deriv_pulse.samples, gaussian_deriv_ref)
