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Seems to be more likely to happen with many averages
runfile('A:/qcodes_experiments/fast_charge_default_settings.py', wdir='A:/qcodes_experiments')
Started at 2017-08-01 10:30:45
DataSet:
location = 'A:\\qcodes_experiments\\MajoQubit\\DVZ_MCQ002A1\\4025'
<Type> | <array_id> | <array.name> | <array.shape>
Setpoint | sg1_frequency_set | frequency | (300,)
Measured | ziuhfli_scope_avg_ch1 | scope_avg_ch1 | (300, 512)
Finished at 2017-08-01 10:32:17
Traceback (most recent call last):
File "<ipython-input-91-152cc28d54e4>", line 1, in <module>
runfile('A:/qcodes_experiments/fast_charge_default_settings.py', wdir='A:/qcodes_experiments')
File "c:\users\root\anaconda3\envs\qcodes-qdev-master\lib\site-packages\spyder\utils\site\sitecustomize.py", line 880, in runfile
execfile(filename, namespace)
File "c:\users\root\anaconda3\envs\qcodes-qdev-master\lib\site-packages\spyder\utils\site\sitecustomize.py", line 102, in execfile
exec(compile(f.read(), filename, 'exec'), namespace)
File "A:/qcodes_experiments/fast_charge_default_settings.py", line 116, in <module>
scope_signal, zi_trig_signal, trigger_holdoff=60e-6, zi_scope_length=512)
File "A:/qcodes_experiments/modules/Majorana/fast_diagrams.py", line 246, in fast_charge_diagram
plot, data = do1d(qdac_channel, q_start, q_stop, npoints, delay, *scope_avger)
File "c:\users\root\anaconda3\envs\qcodes-qdev-master\lib\site-packages\qcodes\utils\wrappers.py", line 444, in do1d
do_plots=do_plots)
File "c:\users\root\anaconda3\envs\qcodes-qdev-master\lib\site-packages\qcodes\utils\wrappers.py", line 380, in _do_measurement
_ = loop.with_bg_task(plot.update).run()
File "c:\users\root\anaconda3\envs\qcodes-qdev-master\lib\site-packages\qcodes\loops.py", line 735, in run
self._run_wrapper()
File "c:\users\root\anaconda3\envs\qcodes-qdev-master\lib\site-packages\qcodes\loops.py", line 784, in _run_wrapper
self._run_loop(*args, **kwargs)
File "c:\users\root\anaconda3\envs\qcodes-qdev-master\lib\site-packages\qcodes\loops.py", line 856, in _run_loop
current_values=new_values)
File "c:\users\root\anaconda3\envs\qcodes-qdev-master\lib\site-packages\qcodes\actions.py", line 136, in __call__
out = [g() for g in self.getters]
File "c:\users\root\anaconda3\envs\qcodes-qdev-master\lib\site-packages\qcodes\actions.py", line 136, in <listcomp>
out = [g() for g in self.getters]
File "A:/qcodes_experiments/modules/Majorana/fast_diagrams.py", line 33, in get
data_avg = np.mean(data, 0)
File "c:\users\root\anaconda3\envs\qcodes-qdev-master\lib\site-packages\numpy\core\fromnumeric.py", line 2909, in mean
out=out, **kwargs)
File "c:\users\root\anaconda3\envs\qcodes-qdev-master\lib\site-packages\numpy\core\_methods.py", line 57, in _mean
rcount = _count_reduce_items(arr, axis)
File "c:\users\root\anaconda3\envs\qcodes-qdev-master\lib\site-packages\numpy\core\_methods.py", line 50, in _count_reduce_items
items *= arr.shape[ax]
IndexError: tuple index out of range
The text was updated successfully, but these errors were encountered:
This is probably caused by the ZI failing and not returning any data. In this case we retry 10 times and if that fails we return (None, None) as the data for the 2 channels.
In [17]: np.mean(None, 0)
---------------------------------------------------------------------------
IndexError Traceback (most recent call last)
<ipython-input-17-e1b00a113f89> in <module>()
----> 1 np.mean(None, 0)
~/.pyenv/versions/3.6.2/Python.framework/Versions/3.6/lib/python3.6/site-packages/numpy/core/fromnumeric.py in mean(a, axis, dtype, out, keepdims)
2907
2908 return _methods._mean(a, axis=axis, dtype=dtype,
-> 2909 out=out, **kwargs)
2910
2911
~/.pyenv/versions/3.6.2/Python.framework/Versions/3.6/lib/python3.6/site-packages/numpy/core/_methods.py in _mean(a, axis, dtype, out, keepdims)
55
56 is_float16_result = False
---> 57 rcount = _count_reduce_items(arr, axis)
58 # Make this warning show up first
59 if rcount == 0:
~/.pyenv/versions/3.6.2/Python.framework/Versions/3.6/lib/python3.6/site-packages/numpy/core/_methods.py in _count_reduce_items(arr, axis)
48 items = 1
49 for ax in axis:
---> 50 items *= arr.shape[ax]
51 return items
52
IndexError: tuple index out of range
I guess we should just fail with a more useful error and try to resolve why the ZI fails
Seems to be more likely to happen with many averages
The text was updated successfully, but these errors were encountered: