class TestAWGChecks(unittest.TestCase):
def initialise(self):
self.lab = Laboratory('UnitTests\\UTestExperimentConfiguration.yaml',
'test_save_dir/')
self.lab.load_instrument('virAWG')
awg_wfm = WaveformAWG("Wfm1", self.lab, [('virAWG', 'CH1'),
('virAWG', 'CH2')], 1e9)
def cleanup(self):
self.lab.release_all_instruments()
self.lab = None
def test_MemoryChecks(self):
self.initialise()
awg_wfm = self.lab.HAL("Wfm1")
#
#Verify the waveform memory requirement checks
#
#Multiple of N check
read_segs = []
read_segs2 = []
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init", None, 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2", None, 45e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
read_segs += ["init"]
read_segs2 += ["zero2"]
awg_wfm.get_output_channel(0).marker(1).set_markers_to_segments(
read_segs)
awg_wfm.get_output_channel(1).marker(0).set_markers_to_segments(
read_segs2)
assert_found = False
try:
awg_wfm.prepare_initial()
awg_wfm.prepare_final()
except AssertionError:
assert_found = True
assert assert_found, "The waveform preparation function incorrectly accepts a waveform that does not satisfy the instrument's memory requirement (multiple of 8)."
#
#Minimum N check
read_segs = []
read_segs2 = []
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 1e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init", None, 1e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("zero2", None, 1e-9, 0.5 - 0.1))
read_segs += ["init"]
read_segs2 += ["zero2"]
awg_wfm.get_output_channel(0).marker(1).set_markers_to_segments(
read_segs)
awg_wfm.get_output_channel(1).marker(0).set_markers_to_segments(
read_segs2)
assert_found = False
try:
awg_wfm.prepare_initial()
awg_wfm.prepare_final()
except AssertionError:
assert_found = True
assert assert_found, "The waveform preparation function incorrectly accepts a waveform that does not satisfy the instrument's memory requirement (minimum of 8)."
#
#Check normal programming works...
read_segs = []
read_segs2 = []
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 12e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init", None, 4e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("zero2", None, 8e-9, 0.5 - 0.1))
read_segs += ["init"]
read_segs2 += ["zero2"]
awg_wfm.get_output_channel(0).marker(1).set_markers_to_segments(
read_segs)
awg_wfm.get_output_channel(1).marker(0).set_markers_to_segments(
read_segs2)
assert_found = False
awg_wfm.prepare_initial()
awg_wfm.prepare_final()
shutil.rmtree('test_save_dir')
self.cleanup()
def test_ValidLengthFunctions(self):
self.initialise()
awg_wfm = self.lab.HAL("Wfm1")
#
#Check the valid length functions
#
assert awg_wfm.get_valid_length_from_time(12e-9) == [
16e-9, 16e-9
], "Valid time lengths for a given time are incorrect."
assert awg_wfm.get_valid_length_from_time(16e-9) == [
16e-9, 16e-9
], "Valid time lengths for a given time are incorrect."
assert awg_wfm.get_valid_length_from_time(5e-9) == [
8e-9, 8e-9
], "Valid time lengths for a given time are incorrect."
#
assert awg_wfm.get_valid_length_from_pts(12) == [
16e-9, 16e-9
], "Valid time lengths for a given time are incorrect."
assert awg_wfm.get_valid_length_from_pts(16) == [
16e-9, 16e-9
], "Valid time lengths for a given time are incorrect."
assert awg_wfm.get_valid_length_from_pts(5) == [
8e-9, 8e-9
], "Valid time lengths for a given time are incorrect."
shutil.rmtree('test_save_dir')
self.cleanup()
class TestSegments(unittest.TestCase):
ERR_TOL = 5e-13
def initialise(self):
self.lab = Laboratory('UnitTests\\UTestExperimentConfiguration.yaml',
'test_save_dir/')
self.lab.load_instrument('virAWG')
awg_wfm = WaveformAWG("Wfm1", self.lab, [('virAWG', 'CH1'),
('virAWG', 'CH2')], 1e9)
def cleanup(self):
self.lab.release_all_instruments()
self.lab = None
def arr_equality(self, arr1, arr2):
if arr1.size != arr2.size:
return False
return np.max(np.abs(arr1 - arr2)) < self.ERR_TOL
def test_SegmentsAndIQ(self):
self.initialise()
awg_wfm = self.lab.HAL("Wfm1")
#
#Test IQ-Modulation
#
#Create unmodulated waveforms first
read_segs = []
read_segs2 = []
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init", None, 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2", None, 45e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
read_segs += ["init"]
read_segs2 += ["zero2"]
awg_wfm.get_output_channel(0).marker(1).set_markers_to_segments(
read_segs)
awg_wfm.get_output_channel(1).marker(0).set_markers_to_segments(
read_segs2)
#Gather initial arrays
wfm_unmod = np.vstack(awg_wfm.get_raw_waveforms())
#
#Okay now modulate...
WFMT_ModulationIQ('IQmod', self.lab, 47e7)
WFMT_ModulationIQ('IQmod2', self.lab, 13e7)
#
#Changing phases Test
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2", None, 45e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20) + 10))
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20) + 10))
assert self.arr_equality(
temp, wfm_mod), "The IQ waveform was incorrectly compiled."
#
#Trying two modulation areas
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2",
self.lab.WFMT('IQmod').apply(), 45e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
init2_stencil = np.s_[60:105]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20) + 10))
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20) + 10))
temp[0, init2_stencil] *= np.cos(omega * 1e-9 * (np.arange(45) + 60))
temp[1, init2_stencil] *= np.sin(omega * 1e-9 * (np.arange(45) + 60))
assert self.arr_equality(
temp, wfm_mod), "The IQ waveform was incorrectly compiled."
#
#Trying two different modulation areas
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2",
self.lab.WFMT('IQmod2').apply(), 45e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
init2_stencil = np.s_[60:105]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
omega2 = 2 * np.pi * self.lab.WFMT('IQmod2').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20) + 10))
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20) + 10))
temp[0, init2_stencil] *= np.cos(omega2 * 1e-9 * (np.arange(45) + 60))
temp[1, init2_stencil] *= np.sin(omega2 * 1e-9 * (np.arange(45) + 60))
assert self.arr_equality(
temp, wfm_mod
), "The IQ waveform was incorrectly compiled when using 2 different modulations."
#
#Trying to manipulate the phase now...
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2",
self.lab.WFMT('IQmod').apply(phase=0), 45e-9,
0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
init2_stencil = np.s_[60:105]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
omega2 = 2 * np.pi * self.lab.WFMT('IQmod2').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20) + 10))
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20) + 10))
temp[0, init2_stencil] *= np.cos(omega * 1e-9 * (np.arange(45)))
temp[1, init2_stencil] *= np.sin(omega * 1e-9 * (np.arange(45)))
assert self.arr_equality(
temp, wfm_mod
), "The IQ waveform was incorrectly compiled when resetting phase to zero."
#
#Trying to manipulate the phase to a non-zero value...
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2",
self.lab.WFMT('IQmod').apply(phase=np.pi / 2), 45e-9,
0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
init2_stencil = np.s_[60:105]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
omega2 = 2 * np.pi * self.lab.WFMT('IQmod2').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20) + 10))
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20) + 10))
temp[0, init2_stencil] *= np.cos(omega * 1e-9 * (np.arange(45)) +
np.pi / 2)
temp[1, init2_stencil] *= np.sin(omega * 1e-9 * (np.arange(45)) +
np.pi / 2)
assert self.arr_equality(
temp, wfm_mod
), "The IQ waveform was incorrectly compiled when changing phase to non-zero value."
#
#Trying to manipulate the phase to a negative non-zero value...
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2",
self.lab.WFMT('IQmod').apply(phase=-0.4125), 45e-9,
0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
init2_stencil = np.s_[60:105]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
omega2 = 2 * np.pi * self.lab.WFMT('IQmod2').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20) + 10))
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20) + 10))
temp[0,
init2_stencil] *= np.cos(omega * 1e-9 * (np.arange(45)) - 0.4125)
temp[1,
init2_stencil] *= np.sin(omega * 1e-9 * (np.arange(45)) - 0.4125)
assert self.arr_equality(
temp, wfm_mod
), "The IQ waveform was incorrectly compiled when changing phase to a negative value."
#
#Trying to manipulate the phase offset...
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2",
self.lab.WFMT('IQmod').apply(phase_offset=-0.91939),
45e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
init2_stencil = np.s_[60:105]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
omega2 = 2 * np.pi * self.lab.WFMT('IQmod2').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20) + 10))
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20) + 10))
temp[0, init2_stencil] *= np.cos(omega * 1e-9 * (np.arange(45) + 60) -
0.91939)
temp[1, init2_stencil] *= np.sin(omega * 1e-9 * (np.arange(45) + 60) -
0.91939)
assert self.arr_equality(
temp, wfm_mod
), "The IQ waveform was incorrectly compiled when changing phase offset."
#
#Trying to manipulate the phase offset and checking relation down the track...
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2",
self.lab.WFMT('IQmod').apply(phase_offset=-0.91939),
45e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3",
self.lab.WFMT('IQmod').apply(), 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
init2_stencil = np.s_[60:105]
init3_stencil = np.s_[182:227]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
omega2 = 2 * np.pi * self.lab.WFMT('IQmod2').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20) + 10))
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20) + 10))
temp[0, init2_stencil] *= np.cos(omega * 1e-9 * (np.arange(45) + 60) -
0.91939)
temp[1, init2_stencil] *= np.sin(omega * 1e-9 * (np.arange(45) + 60) -
0.91939)
temp[0, init3_stencil] *= np.cos(omega * 1e-9 * (np.arange(45) + 182) -
0.91939)
temp[1, init3_stencil] *= np.sin(omega * 1e-9 * (np.arange(45) + 182) -
0.91939)
assert self.arr_equality(
temp, wfm_mod
), "The IQ waveform was incorrectly compiled when changing phase offset in a previous waveform segment."
#
#Trying to manipulate the phase and checking relation down the track...
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2",
self.lab.WFMT('IQmod').apply(phase=0.1), 45e-9,
0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3",
self.lab.WFMT('IQmod').apply(), 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
init2_stencil = np.s_[60:105]
init3_stencil = np.s_[182:227]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
omega2 = 2 * np.pi * self.lab.WFMT('IQmod2').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20) + 10))
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20) + 10))
temp[0, init2_stencil] *= np.cos(omega * 1e-9 * (np.arange(45)) + 0.1)
temp[1, init2_stencil] *= np.sin(omega * 1e-9 * (np.arange(45)) + 0.1)
temp[0, init3_stencil] *= np.cos(omega * 1e-9 *
(np.arange(45) + 182 - 60) + 0.1)
temp[1, init3_stencil] *= np.sin(omega * 1e-9 *
(np.arange(45) + 182 - 60) + 0.1)
assert self.arr_equality(
temp, wfm_mod
), "The IQ waveform was incorrectly compiled when changing phase in a previous waveform segment."
#
#Trying to manipulate the phase and checking relation down the track with 2 separate frequencies!...
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(phase=0.1), 20e-9,
0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2",
self.lab.WFMT('IQmod2').apply(), 45e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3",
self.lab.WFMT('IQmod').apply(), 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
init2_stencil = np.s_[60:105]
init3_stencil = np.s_[182:227]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
omega2 = 2 * np.pi * self.lab.WFMT('IQmod2').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20)) + 0.1)
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20)) + 0.1)
temp[0, init2_stencil] *= np.cos(omega2 * 1e-9 * (np.arange(45) + 60))
temp[1, init2_stencil] *= np.sin(omega2 * 1e-9 * (np.arange(45) + 60))
temp[0, init3_stencil] *= np.cos(omega * 1e-9 *
(np.arange(45) + 182 - 10) + 0.1)
temp[1, init3_stencil] *= np.sin(omega * 1e-9 *
(np.arange(45) + 182 - 10) + 0.1)
assert self.arr_equality(
temp, wfm_mod
), "The IQ waveform was incorrectly compiled when changing phase in a previous waveform segment with 2 frequencies in play."
shutil.rmtree('test_save_dir')
self.cleanup()
def test_Group(self):
self.initialise()
awg_wfm = self.lab.HAL("Wfm1")
read_segs = []
read_segs2 = []
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init", None, 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2", None, 45e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
read_segs += ["init"]
read_segs2 += ["zero2"]
awg_wfm.get_output_channel(0).marker(1).set_markers_to_segments(
read_segs)
awg_wfm.get_output_channel(1).marker(0).set_markers_to_segments(
read_segs2)
#Gather initial arrays
wfm_unmod = np.vstack(awg_wfm.get_raw_waveforms())
#Modulations
WFMT_ModulationIQ('IQmod', self.lab, 47e7)
WFMT_ModulationIQ('IQmod2', self.lab, 13e7)
#
#Test WFM_Group
#
#Default test with an elastic segment
awg_wfm = WaveformAWG("Wfm1",
self.lab, [('virAWG', 'CH1'), ('virAWG', 'CH2')],
1e9,
total_time=227e-9)
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, -1, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2", None, 45e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20) + 10))
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20) + 10))
assert self.arr_equality(
temp, wfm_mod), "Default waveform compilation failed."
#
#Test a basic WFS_Group construct
awg_wfm = WaveformAWG("Wfm1",
self.lab, [('virAWG', 'CH1'), ('virAWG', 'CH2')],
1e9,
total_time=227e-9)
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, -1, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(
WFS_Group("TestGroup", [
WFS_Constant("zero1", None, 30e-9, 0.1),
WFS_Gaussian("init2", None, 45e-9, 0.5 - 0.1)
]))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20) + 10))
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20) + 10))
assert self.arr_equality(
temp, wfm_mod), "WFS_Group failed in waveform compilation."
#
#Test a basic WFS_Group construct with elastic time-frame
awg_wfm = WaveformAWG("Wfm1",
self.lab, [('virAWG', 'CH1'), ('virAWG', 'CH2')],
1e9,
total_time=227e-9)
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, -1, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(
WFS_Group("TestGroup", [
WFS_Constant("zero1", None, -1, 0.1),
WFS_Gaussian("init2", None, 45e-9, 0.5 - 0.1)
],
time_len=75e-9))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20) + 10))
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20) + 10))
assert self.arr_equality(
temp, wfm_mod), "WFS_Group failed in waveform compilation."
#
#Test marker decomposition...
awg_wfm = WaveformAWG("Wfm1",
self.lab, [('virAWG', 'CH1'), ('virAWG', 'CH2')],
1e9,
total_time=227e-9)
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, -1, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(
WFS_Group("TestGroup", [
WFS_Constant("zero1", None, -1, 0.1),
WFS_Gaussian("init2", None, 45e-9, 0.5 - 0.1)
],
time_len=75e-9))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
awg_wfm.get_output_channel(0).marker(0).set_markers_to_segments(
['init', ['TestGroup', 'init2'], 'init3'])
raw_mkrs = awg_wfm.get_output_channel(0).marker(
0).get_raw_marker_waveform()
exp_mkrs = np.array([0] * 10 + [1] * 20 + [0] * 30 + [1] * 45 +
[0] * 77 + [1] * 45)
assert self.arr_equality(
raw_mkrs, exp_mkrs), "WFS_Group failed in marker compilation."
#
#Test marker decomposition in nested WFS_Groups...
awg_wfm = WaveformAWG("Wfm1",
self.lab, [('virAWG', 'CH1'), ('virAWG', 'CH2')],
1e9,
total_time=237e-9)
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, -1, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(
WFS_Group("TestGroup", [
WFS_Constant("zero1", None, -1, 0.1),
WFS_Gaussian("init2", None, 45e-9, 0.5 - 0.1)
],
time_len=75e-9))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Group("TestGroup2", [
WFS_Group("Sub1", [
WFS_Constant("zero1", None, 3e-9, 0.1),
WFS_Gaussian("init2", None, 2e-9, 0.5 - 0.1)
],
time_len=5e-9),
WFS_Gaussian("init2", None, 5e-9, 0.5 - 0.1)
],
time_len=10e-9))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
awg_wfm.get_output_channel(0).marker(0).set_markers_to_segments([
'init', ['TestGroup', 'init2'], 'init3',
['TestGroup2', 'Sub1', 'init2']
])
raw_mkrs = awg_wfm.get_output_channel(0).marker(
0).get_raw_marker_waveform()
exp_mkrs = np.array([0] * 10 + [1] * 20 + [0] * 30 + [1] * 45 +
[0] * 77 + [0] * 3 + [1] * 2 + [0] * 5 + [1] * 45)
assert self.arr_equality(
raw_mkrs, exp_mkrs
), "WFS_Group failed in marker compilation in a nested case."
#An interesting edge-case
wait_times = np.linspace(1e-9, 2e-6, 49)
WaveformAWG("wfmRabi", self.lab, [('virAWG', 'CH1'),
('virAWG', 'CH2')], 1.25e9)
self.lab.HAL("wfmRabi").set_valid_total_time(
(wait_times.size + 1) * 50e-6)
self.lab.HAL("wfmRabi").clear_segments()
read_segs = []
for m, cur_wait in enumerate(wait_times):
self.lab.HAL("wfmRabi").add_waveform_segment(
WFS_Group("TestGroup", [
WFS_Constant(f"init{m}", None, -1, 0.0),
WFS_Gaussian(f"tip{m}",
self.lab.WFMT('IQmod').apply(phase=0), 40e-9,
1),
WFS_Constant(f"wait{m}", None, cur_wait, 0.0),
WFS_Gaussian(f"untip{m}",
self.lab.WFMT('IQmod').apply(), 40e-9, 2),
WFS_Constant(f"pad{m}", None, 5e-9, 0.0)
],
time_len=46e-6))
self.lab.HAL("wfmRabi").add_waveform_segment(
WFS_Constant(f"read{m}", None, 4e-6, 0.0))
read_segs += [f"read{m}"]
self.lab.HAL("wfmRabi").add_waveform_segment(
WFS_Constant("init_pad", None, -1, 0.0))
self.lab.HAL("wfmRabi").get_raw_waveforms()
shutil.rmtree('test_save_dir')
self.cleanup()
def test_SaveReload(self):
self.initialise()
self.lab.load_instrument('virACQ')
hal_acq = ACQ("dum_acq", self.lab, 'virACQ')
awg_wfm = self.lab.HAL("Wfm1")
read_segs = []
read_segs2 = []
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, 10e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init", None, 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero1", None, 30e-9, 0.1))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init2", None, 45e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
read_segs += ["init"]
read_segs2 += ["zero2"]
awg_wfm.get_output_channel(0).marker(1).set_markers_to_segments(
read_segs)
awg_wfm.get_output_channel(1).marker(0).set_markers_to_segments(
read_segs2)
#Gather initial arrays
wfm_unmod = np.vstack(awg_wfm.get_raw_waveforms())
#Modulations
WFMT_ModulationIQ('IQmod', self.lab, 47e7)
WFMT_ModulationIQ('IQmod2', self.lab, 13e7)
#Test a basic WFS_Group construct with elastic time-frame
awg_wfm = WaveformAWG("Wfm1",
self.lab, [('virAWG', 'CH1'), ('virAWG', 'CH2')],
1e9,
total_time=227e-9)
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, -1, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init",
self.lab.WFMT('IQmod').apply(), 20e-9, 0.5 - 0.1))
awg_wfm.add_waveform_segment(
WFS_Group("TestGroup", [
WFS_Constant("zero1", None, -1, 0.1),
WFS_Gaussian("init2", None, 45e-9, 0.5 - 0.1)
],
time_len=75e-9))
awg_wfm.add_waveform_segment(WFS_Constant("zero2", None, 77e-9, 0.0))
awg_wfm.add_waveform_segment(
WFS_Gaussian("init3", None, 45e-9, 0.5 - 0.1))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
init_stencil = np.s_[10:30]
temp = wfm_unmod * 1.0
omega = 2 * np.pi * self.lab.WFMT('IQmod').IQFrequency
temp[0, init_stencil] *= np.cos(omega * 1e-9 * (np.arange(20) + 10))
temp[1, init_stencil] *= np.sin(omega * 1e-9 * (np.arange(20) + 10))
#
assert self.arr_equality(
temp, wfm_mod), "WFS_Group failed in waveform compilation."
expConfig = ExperimentConfiguration('testConf', self.lab, 1.0,
['Wfm1'], 'dum_acq')
# leConfig = expConfig.save_config()
awg_wfm.clear_segments()
awg_wfm.add_waveform_segment(WFS_Constant("SEQPAD", None, -1, 0.0))
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
assert not self.arr_equality(
temp, wfm_mod
), "The waveform randomly compiles correctly even though it has been redone."
expConfig.init_instruments()
wfm_mod = np.vstack(awg_wfm.get_raw_waveforms())
assert self.arr_equality(
temp,
wfm_mod), "The waveform was not constructed properly on reloading."
shutil.rmtree('test_save_dir')
self.cleanup()