Working automatic measurement construction

docs/examples/08a_pcb_interposer_characterisation/08a_pcb_interposer_characterisation.py

@@ -163,6 +163,7 @@ def create_calibration_vna_experiments(measurements: dict, **kwargs):
             connections=experiment_connections,
             index=i,
             date_configured=str(datetime.now()),
+            measurement_configuration_list=[sparameter_measurement_configuration],
         )
 
         experiment_instances.append(experiment_measurement)
@@ -203,9 +204,14 @@ def create_calibration_vna_experiments(measurements: dict, **kwargs):
 # !pwd $vna_pcb_experiment_directory
 # !ls $vna_pcb_experiment_directory
 
-# Now, let's save the experimental data in there accordingly.
+# Now, let's save the experimental data in there accordingly. Once we save the data, we can recompose the data into measurement containers based on the `MeasurementConfigurationTypes` we defined for each `ExperimantInstance`.
 
 
+pe.compose_measurement_from_experiment_instance(
+    vna_pcb_experiment.experiment_instances[1],
+    instance_directory=vna_pcb_experiment_directory / "1",
+)
+
 # ## Time-Domain Analysis
 #
 # Let's consider we want to measure the propagation velocity of a pulse through one of our coaxial cables. If you are doing a similar experiment, make sure to use ground ESD straps to avoid damage to the equipment. As there is frequency dispersion in the RF transmission lines, we also know the time-domain response is different according to the type of signal applied to the device. We can compare an analysis between the different pulse frequencies.