nqrduck/quackseq-limenqr
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Updated return in case of failed measurement to None.

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This commit is contained in:
jupfi 2024-06-20 21:01:41 +02:00
parent f2f83a4b5e
commit 72ae23080b
2 changed files with 14 additions and 9 deletions
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17
src/quackseq_limenqr/limenqr_controller.py
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@ -28,17 +28,18 @@ class LimeNQRController(SpectrometerController):
super().__init__()
self.limenqr = limenqr
def run_sequence(self, sequence: QuackSequence):
def run_sequence(self, sequence: QuackSequence) -> Measurement:
"""Starts the measurement procedure."""
lime = self.initialize_lime(sequence)
if lime is None:
# Emit error message
logger.error("Error initializing Lime driver")
return -1
return None
elif lime.Npulses == 0:
# Emit error message
logger.error("No pulses in the pulse sequence")
return -1
return None
self.setup_lime_parameters(lime, sequence)
self.setup_temporary_storage(lime)
@ -52,18 +53,22 @@ class LimeNQRController(SpectrometerController):
measurement_data = self.process_measurement_results(lime, sequence)
if not measurement_data:
return None
# Resample the RX data to the dwell time settings
dwell_time = self.limenqr.model.settings.rx_dwell_time
dwell_time = UnitConverter.to_float(dwell_time) * 1e6
logger.debug("Dwell time: %s", dwell_time)
logger.debug(f"Last tdx value: {measurement_data.tdx[-1]}")
logger.debug(f"Last tdx value: {measurement_data.tdx[-1][-1]}")
if dwell_time:
n_data_points = int(measurement_data.tdx[-1] / dwell_time)
n_data_points = int(measurement_data.tdx[-1][-1] / dwell_time)
logger.debug("Resampling to %s data points", n_data_points)
tdx = np.linspace(
0, measurement_data.tdx[-1], n_data_points, endpoint=False
0, measurement_data.tdx[-1][-1], n_data_points, endpoint=False
)
tdy = resample(measurement_data.tdy, n_data_points)
name = measurement_data.name

6
tests/limenqr.py
View file

@ -45,9 +45,9 @@ class TestQuackSequence(unittest.TestCase):
result = lime.run_sequence(seq)
plt.plot(result.tdx, result.tdy.imag)
plt.plot(result.tdx, result.tdy.real)
plt.plot(result.tdx, np.abs(result.tdy))
plt.plot(result.tdx[-1], result.tdy[-1].imag)
plt.plot(result.tdx[-1], result.tdy[-1].real)
plt.plot(result.tdx[-1], np.abs(result.tdy[-1]))
plt.show()