# HG changeset patch
# User James Bergstra <bergstrj@iro.umontreal.ca>
# Date 1225319014 14400
# Node ID 60b7dd5be8608e61891379d5a3a1b9eda099d7f0
# Parent  b8e6de17eaa6e3e499c9a27f208c406ae9eaf661
scrapped ulimit in smallnorb

diff -r b8e6de17eaa6 -r 60b7dd5be860 datasets/smallNorb.py
--- a/datasets/smallNorb.py	Wed Oct 29 18:06:49 2008 -0400
+++ b/datasets/smallNorb.py	Wed Oct 29 18:23:34 2008 -0400
@@ -32,22 +32,19 @@
         with dtype=float32 or dtype=float64.
 
         """
-        #set ulimit to an integer, and disable reading of the test_xxx files to load only a
-        #subset of the data
-        ulimit=None
         def downsample(dataset):
             return dataset[:, 0, ::downsample_amt, ::downsample_amt]
 
-        samples = downsample(read(open(self.train_dat), slice(None,ulimit)))
+        samples = downsample(read(open(self.train_dat)))
         samples = numpy.vstack((samples, downsample(read(open(self.test_dat)))))
         samples = numpy.asarray(samples, dtype=dtype)
         if normalize_pixels:
             samples *= (1.0 / 255.0)
 
-        labels = read(open(self.train_cat), slice(0,ulimit))
+        labels = read(open(self.train_cat))
         labels = numpy.hstack((labels, read(open(self.test_cat))))
 
-        infos = read(open(self.train_info), slice(0,ulimit))
+        infos = read(open(self.train_info))
         infos = numpy.vstack((infos, read(open(self.test_info))))
 
         return samples, labels, infos