def test_gaussian_square(self):
"""Test gaussian square pulse."""
amp = 0.5
center = 10
width = 2
sigma = 0.1
times, dt = np.linspace(0, 20, 2001, retstep=True)
gaussian_square_arr = continuous.gaussian_square(times, amp, center, width, sigma)
self.assertEqual(gaussian_square_arr.dtype, np.complex_)
self.assertEqual(gaussian_square_arr[1000], amp)
# test half gaussian rise/fall
self.assertAlmostEqual(np.sum(gaussian_square_arr[:900]*dt)*2,
amp*np.sqrt(2*np.pi*sigma**2), places=2)
self.assertAlmostEqual(np.sum(gaussian_square_arr[1100:]*dt)*2,
amp*np.sqrt(2*np.pi*sigma**2), places=2)
# test for continuity at gaussian/square boundaries
gauss_rise_end_time = center-width/2
gauss_fall_start_time = center+width/2
epsilon = 0.01
rise_times, dt_rise = np.linspace(gauss_rise_end_time-epsilon,
gauss_rise_end_time+epsilon, 1001, retstep=True)
fall_times, dt_fall = np.linspace(gauss_fall_start_time-epsilon,
gauss_fall_start_time+epsilon, 1001, retstep=True)
gaussian_square_rise_arr = continuous.gaussian_square(rise_times, amp, center, width, sigma)
gaussian_square_fall_arr = continuous.gaussian_square(fall_times, amp, center, width, sigma)
# should be locally approximated by amp*dt^2/(2*sigma^2)
self.assertAlmostEqual(amp*dt_rise**2/(2*sigma**2),
gaussian_square_rise_arr[500]-gaussian_square_rise_arr[499])
self.assertAlmostEqual(amp*dt_fall**2/(2*sigma**2),
gaussian_square_fall_arr[501]-gaussian_square_fall_arr[500])
def test_gaussian_square(self):
"""Test discrete sampled gaussian square pulse."""
amp = 0.5
sigma = 0.1
risefall = 2
duration = 10
center = duration/2
width = duration-2*risefall
center = duration/2
times = np.arange(0, duration)
gaussian_square_ref = continuous.gaussian_square(times, amp, center, width, sigma)
gaussian_square_pulse = pulse_lib.gaussian_square(duration, amp, sigma, risefall)
self.assertIsInstance(gaussian_square_pulse, SamplePulse)
np.testing.assert_array_almost_equal(gaussian_square_pulse.samples, gaussian_square_ref)