def test_gauss_square_extremes(self): """Test that the gaussian square pulse can build a gaussian.""" duration = 125 sigma = 4 amp = 0.5j gaus_square = GaussianSquare(duration=duration, sigma=sigma, amp=amp, width=0) gaus = Gaussian(duration=duration, sigma=sigma, amp=amp) np.testing.assert_almost_equal(gaus_square.get_sample_pulse().samples, gaus.get_sample_pulse().samples) gaus_square = GaussianSquare(duration=duration, sigma=sigma, amp=amp, width=121) const = ConstantPulse(duration=duration, amp=amp) np.testing.assert_almost_equal( gaus_square.get_sample_pulse().samples[2:-2], const.get_sample_pulse().samples[2:-2])
def test_gauss_square_samples(self): """Test that the gaussian square samples match the formula.""" duration = 125 sigma = 4 amp = 0.5j # formulaic times = np.array(range(25), dtype=np.complex_) times = times - (25 / 2) + 0.5 gauss = amp * np.exp(-(times / sigma)**2 / 2) # command command = GaussianSquare(duration=duration, sigma=sigma, amp=amp, width=100) samples = command.get_sample_pulse().samples np.testing.assert_almost_equal(samples[50], amp) np.testing.assert_almost_equal(samples[100], amp) np.testing.assert_almost_equal(samples[:10], gauss[:10])