--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/python/tests/prediction.txt	Thu Aug 09 15:18:20 2012 -0400
@@ -0,0 +1,25 @@
+>>> import prediction
+>>> import moving
+
+>>> et = prediction.PredictedTrajectoryConstant(moving.Point(0,0), moving.Point(1,0))
+>>> et.predictPosition(4) # doctest:+ELLIPSIS
+(4.0...,0.0...)
+>>> et.predictPosition(1) # doctest:+ELLIPSIS
+(1.0...,0.0...)
+
+>>> et = prediction.PredictedTrajectoryConstant(moving.Point(0,0), moving.Point(1,0), moving.NormAngle(0.1,0), maxSpeed = 2)
+>>> et.predictPosition(10) # doctest:+ELLIPSIS
+(15.5...,0.0...)
+>>> et.predictPosition(11) # doctest:+ELLIPSIS
+(17.5...,0.0...)
+>>> et.predictPosition(12) # doctest:+ELLIPSIS
+(19.5...,0.0...)
+
+>>> 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)
+>>> p = et.predictPosition(500)
+>>> from numpy import max
+>>> max(et.getPredictedSpeeds()) <= 2.
+True