[med-svn] [python-mne] 242/353: doctest fix

Yaroslav Halchenko debian at onerussian.com
Fri Nov 27 17:25:06 UTC 2015


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yoh pushed a commit to tag 0.4
in repository python-mne.

commit 61f688a913951127d7706ad5fad932ab1f0d40c4
Author: Martin Luessi <mluessi at nmr.mgh.harvard.edu>
Date:   Mon Jul 2 17:21:35 2012 -0400

    doctest fix
---
 doc/source/python_tutorial.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/doc/source/python_tutorial.rst b/doc/source/python_tutorial.rst
index d799646..e8f994a 100644
--- a/doc/source/python_tutorial.rst
+++ b/doc/source/python_tutorial.rst
@@ -170,9 +170,9 @@ Define peak-to-peak rejection parameters for gradiometers, magnetometers and EOG
 Read epochs:
 
     >>> epochs = mne.Epochs(raw, events, event_id, tmin, tmax, proj=True, picks=picks, baseline=baseline, preload=False, reject=reject)
-    4 projection items activated
     Adding average EEG reference projection.
     Created an SSP operator (subspace dimension = 4)
+    5 projection items activated
     72 matching events found
     >>> print epochs
     Epochs (n_events : 72 (good & bad), tmin : -0.2 (s), tmax : 0.5 (s), baseline : (None, 0))
@@ -226,8 +226,8 @@ It is also possible to read evoked data stored in a fif file:
             t =    -199.80 ...     499.49 ms (Left Auditory)
             0 CTF compensation matrices available
             nave = 55 - aspect type = 100
-    4 projection items activated
     Created an SSP operator (subspace dimension = 4)
+    4 projection items activated
     SSP projectors applied...
     Applying baseline correction ... (mode: mean)
 

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