[Mne_analysis] <maybeencodingerror>

Lau Møller Andersen lau.andersen at cnru.dk
Thu Sep 1 06:45:37 EDT 2016
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quick update -  I suspected that it might be due to parallel processing 
(n_jobs=16), but I get the same error with n_jobs=1

I use mne 0.12 by the way

Den 2016-09-01 kl. 12:37, skrev Lau Møller Andersen:
>
> Dear list
>
> I have been trying to reconstruct my epochs based on the induced power 
> using <mne.minimum_norm.source_induced_power>.
>
>
> I get a <maybeencodingerror> from running this command. I cannot 
> figure out whether this is a user error or a bug/problem. I have been 
> able to use the exact same code on other files though with shorter 
> epochs (-250 to 750 ms)
>
> mne.minimum_norm.time_frequency.source_band_induced_power(
>                             to_reconstruct[trial_type], ## epochs are 
> from -500 to 1500 ms
>                             inverse_operator, mu_bands, method=method,
>                             n_cycles=3, n_jobs=16)
>
> Preparing the inverse operator for use...
>     Scaled noise and source covariance from nave = 1 to nave = 1
>     Created the regularized inverter
>     The projection vectors do not apply to these channels.
>     Created the whitener using a full noise covariance matrix (0 small 
> eigenvalues omitted)
>     Computing noise-normalization factors (dSPM)...
> [done]
> Picked 306 channels from the data
> Computing inverse...
> (eigenleads need to be weighted)...
> Reducing data rank to 306
> Computing source power ...
> Traceback (most recent call last):
>
>   File "<ipython-input-4-50e967105495>", line 1, in <module>
> runfile('/home/lau/analyses/pam_oddball/scripts/absence/python/absence_analysis_v2.py', 
> wdir='/home/lau/analyses/pam_oddball/scripts/absence/python')
>
>   File 
> "/home/lau/anaconda2/lib/python2.7/site-packages/spyderlib/widgets/externalshell/sitecustomize.py", 
> line 685, in runfile
>     execfile(filename, namespace)
>
>   File 
> "/home/lau/anaconda2/lib/python2.7/site-packages/spyderlib/widgets/externalshell/sitecustomize.py", 
> line 78, in execfile
>     builtins.execfile(filename, *where)
>
>   File 
> "/home/lau/analyses/pam_oddball/scripts/absence/python/absence_analysis_v2.py", 
> line 378, in <module>
>     mu_bands)
>
>   File "absence_functions_v2.py", line 835, in source_estimate
>     n_cycles=7, n_jobs=4)
>
>   File "<string>", line 2, in source_band_induced_power
>
>   File "/home/lau/anaconda2/lib/python2.7/site-packages/mne/utils.py", 
> line 628, in verbose
>     return function(*args, **kwargs)
>
>   File 
> "/home/lau/anaconda2/lib/python2.7/site-packages/mne/minimum_norm/time_frequency.py", 
> line 129, in source_band_induced_power
>     prepared=prepared)
>
>   File "<string>", line 2, in _source_induced_power
>
>   File "/home/lau/anaconda2/lib/python2.7/site-packages/mne/utils.py", 
> line 628, in verbose
>     return function(*args, **kwargs)
>
>   File 
> "/home/lau/anaconda2/lib/python2.7/site-packages/mne/minimum_norm/time_frequency.py", 
> line 275, in _source_induced_power
>     for data in np.array_split(epochs_data, n_jobs))
>
>   File 
> "/home/lau/anaconda2/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.py", 
> line 666, in __call__
>     self.retrieve()
>
>   File 
> "/home/lau/anaconda2/lib/python2.7/site-packages/sklearn/externals/joblib/parallel.py", 
> line 518, in retrieve
>     self._output.append(job.get())
>
>   File "/home/lau/anaconda2/lib/python2.7/multiprocessing/pool.py", 
> line 567, in get
>     raise self._value
>
> *MaybeEncodingError*: Error sending result: '(array([[[  
> 4.33156061e-20, 4.39577027e-20,   4.45972043e-20, ...,
>

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