--- a/python/tests/prediction.txt	Thu Feb 27 03:30:28 2014 -0500
+++ b/python/tests/prediction.txt	Wed Mar 05 17:47:26 2014 -0500
@@ -18,7 +18,7 @@
 >>> import random
 >>> acceleration = lambda: random.uniform(-0.5,0.5)
 >>> steering = lambda: random.uniform(-0.1,0.1)
->>> et = prediction.PredictedTrajectoryNormalAdaptation(moving.Point(0,0),moving.Point(1,1), acceleration, steering, maxSpeed = 2)
+>>> et = prediction.PredictedTrajectoryRandomControl(moving.Point(0,0),moving.Point(1,1), acceleration, steering, maxSpeed = 2)
 >>> p = et.predictPosition(500)
 >>> from numpy import max
 >>> max(et.getPredictedSpeeds()) <= 2.