--- a/transformations/pipeline.py	Tue Feb 09 11:43:09 2010 -0500
+++ b/transformations/pipeline.py	Tue Feb 09 18:25:50 2010 -0500
@@ -192,12 +192,16 @@
         self.train_data = open(nist_path, 'rb')
         self.train_labels = open(label_path, 'rb')
         self.dim = tuple(ft._read_header(self.train_data)[3])
+        # in order to seek to the beginning of the file
+        self.train_data.close()
+        self.train_data = open(nist_path, 'rb')
+
 
 def nist_supp_iterator(nist, prob_font, prob_captcha, num_img):
     subtensor = slice(0, num_img)
     img = ft.read(nist.train_data, subtensor).astype(numpy.float32)/255
     labels = ft.read(nist.train_labels, subtensor)
-    
+
     for i in xrange(num_img):
         r = numpy.random.rand()
         if r<= prob_font: