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annotate python/tests/prediction.txt @ 308:8bafd054cda4

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Added a function to compute LCSS distance between two indcators
author Mohamed Gomaa
date Tue, 25 Dec 2012 02:20:25 -0500
parents bbd9c09e6869
children e56c34c1ebac
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bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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1 >>> import prediction
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13ec22bec5d4 corrected typos and bugs and added a test
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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2 >>> import moving
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bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 256
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4 >>> et = prediction.PredictedTrajectoryConstant(moving.Point(0,0), moving.Point(1,0))
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5 >>> et.predictPosition(4) # doctest:+ELLIPSIS
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7 >>> et.predictPosition(1) # doctest:+ELLIPSIS
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dc1faa7287bd added the normal adaptation class
Nicolas Saunier <nicolas.saunier@polymtl.ca>
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bbd9c09e6869 changed the names to prediction methods and predicted trajectories
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 256
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10 >>> et = prediction.PredictedTrajectoryConstant(moving.Point(0,0), moving.Point(1,0), moving.NormAngle(0.1,0), maxSpeed = 2)
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 255
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11 >>> et.predictPosition(10) # doctest:+ELLIPSIS
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parents: 255
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13 >>> et.predictPosition(11) # doctest:+ELLIPSIS
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parents: 255
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15 >>> et.predictPosition(12) # doctest:+ELLIPSIS
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17
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
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18 >>> import random
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
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19 >>> acceleration = lambda: random.uniform(-0.5,0.5)
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Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 255
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20 >>> steering = lambda: random.uniform(-0.1,0.1)
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parents: 256
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21 >>> et = prediction.PredictedTrajectoryNormalAdaptation(moving.Point(0,0),moving.Point(1,1), acceleration, steering, maxSpeed = 2)
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22 >>> p = et.predictPosition(500)
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23 >>> from numpy import max
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24 >>> max(et.getPredictedSpeeds()) <= 2.
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25 True