# HG changeset patch
# User delallea@valhalla.apstat.com
# Date 1222969303 14400
# Node ID 6e7509acb1c03c37e0118a3ae57f2dd75a3e96a9
# Parent  ce6b4fd3ab2960c4aefcdaba85be6277b5acba0b# Parent  739612d316a4502521d9ecad89dca35062de9c9c
Merged

diff -r 739612d316a4 -r 6e7509acb1c0 dataset.py
--- a/dataset.py	Mon Sep 29 16:04:51 2008 -0400
+++ b/dataset.py	Thu Oct 02 13:41:43 2008 -0400
@@ -386,7 +386,7 @@
         @ATTENTION: minibatches returns a LookupList, we can't iterate over examples on it.
 
         """
-        #return DataSet.MinibatchWrapAroundIterator(self,fieldnames,minibatch_size,n_batches,offset)\
+        #return DataSet.MinibatchWrapAroundIterator(self, fieldnames, minibatch_size, n_batches,offset)
         assert offset >= 0
         assert offset < len(self)
         assert offset + minibatch_size -1 < len(self)
@@ -1200,7 +1200,7 @@
     An ArrayDataSet stores the fields as groups of columns in a numpy tensor,
     whose first axis iterates over examples, second axis determines fields.
     If the underlying array is N-dimensional (has N axes), then the field
-    values are (N-2)-dimensional objects (i.e. ordinary numbers if N=2).
+    values are (N-1)-dimensional objects (i.e. ordinary numbers if N=2).
     """
 
     def __init__(self, data_array, fields_columns, **kwargs):