[Mne_analysis] <maybeencodingerror>
Lau Møller Andersen
lau.andersen at cnru.dk
Thu Sep 1 06:45:37 EDT 2016
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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