# HG changeset patch
# User Olivier Delalleau <delallea@iro>
# Date 1243015911 14400
# Node ID 0eae6d5315b59e69563ef1db3c20514539056edc
# Parent  0c73cf7d37488abb97896857d1b958b91df67c2b
Fixed minor typo in comment

diff -r 0c73cf7d3748 -r 0eae6d5315b5 pylearn/sandbox/scan_inputs_groups.py
--- a/pylearn/sandbox/scan_inputs_groups.py	Fri May 22 13:43:23 2009 -0400
+++ b/pylearn/sandbox/scan_inputs_groups.py	Fri May 22 14:11:51 2009 -0400
@@ -8,7 +8,7 @@
 # These Ops allows us to deal with static groups of possibly missing inputs efficiently in the dense DAA framework
 # (for exemple with multimodal data with sometimes entire modality missing).
 # The inputs will be represented with an index list and a theano.generic variable (which will be a list of matrices
-# (numpy array), each element will correspond to an available modality and the index list will indicates the weights
+# (numpy array), each element will correspond to an available modality and the index list will indicate the weights
 # associated to it).
 # Exemple of index list: [1, 0, -3]
 #	*the 1 says that the first element of the input list will refer to the first element of the weights_list
@@ -559,4 +559,4 @@
 		return "ScanMask" + string
 
 scanmaskenc=ScanMask(True)
-scanmaskdec=ScanMask(False)
\ No newline at end of file
+scanmaskdec=ScanMask(False)