def test_gaussian(self):
"""Test gaussian pulse."""
amp = 0.5
duration = 20
center = duration / 2
sigma = 2
times, dt = np.linspace(0, duration, 1001, retstep=True)
gaussian_arr = continuous.gaussian(times, amp, center, sigma)
gaussian_arr_zeroed = continuous.gaussian(
np.array([-1, center, duration + 1]),
amp,
center,
sigma,
zeroed_width=2 * (center + 1),
rescale_amp=True,
)
self.assertEqual(gaussian_arr.dtype, np.complex_)
center_time = np.argmax(gaussian_arr)
self.assertAlmostEqual(times[center_time], center)
self.assertAlmostEqual(gaussian_arr[center_time], amp)
self.assertAlmostEqual(gaussian_arr_zeroed[0], 0.0, places=6)
self.assertAlmostEqual(gaussian_arr_zeroed[1], amp)
self.assertAlmostEqual(gaussian_arr_zeroed[2], 0.0, places=6)
self.assertAlmostEqual(
np.sum(gaussian_arr * dt), amp * np.sqrt(2 * np.pi * sigma**2), places=3
)
def test_drag(self):
"""Test drag pulse."""
amp = 0.5
center = 10
sigma = 0.1
beta = 0
times = np.linspace(0, 20, 2001)
# test that we recover gaussian for beta=0
gaussian_arr = continuous.gaussian(times,
amp,
center,
sigma,
zeroed_width=2 * (center + 1),
rescale_amp=True)
drag_arr = continuous.drag(times,
amp,
center,
sigma,
beta=beta,
zeroed_width=2 * (center + 1),
rescale_amp=True)
self.assertEqual(drag_arr.dtype, np.complex_)
np.testing.assert_equal(drag_arr, gaussian_arr)
def test_gaussian(self):
"""Test gaussian pulse."""
amp = 0.5
sigma = 2
duration = 10
center = duration/2
times = np.arange(0, duration) + 0.5
gaussian_ref = continuous.gaussian(times, amp, center, sigma,
zeroed_width=2*(center+1), rescale_amp=True)
gaussian_pulse = library.gaussian(duration, amp, sigma)
self.assertIsInstance(gaussian_pulse, Waveform)
np.testing.assert_array_almost_equal(gaussian_pulse.samples, gaussian_ref)
