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annotate python/tests/prediction.txt @ 372:349eb1e09f45

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Cleaned the methods/functions indicating if a point is in a polygon In general, shapely should be used, especially for lots of points: from shapely.geometry import Polygon, Point poly = Polygon(array([[0,0],[0,1],[1,1],[1,0]])) p = Point(0.5,0.5) poly.contains(p) -> returns True poly.contains(Point(-1,-1)) -> returns False You can convert a moving.Point to a shapely point: p = moving.Point(1,2) p.asShapely() returns the equivalent shapely point If you have several points to test, use moving.pointsInPolygon(points, polygon) where points are moving.Point and polygon is a shapely polygon.
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Tue, 16 Jul 2013 17:00:17 -0400
parents e56c34c1ebac
children e891a41c6c75
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bbd9c09e6869 changed the names to prediction methods and predicted trajectories
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1 >>> import prediction
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2 >>> import moving
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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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6 (4.0...,0.0...)
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7 >>> et.predictPosition(1) # doctest:+ELLIPSIS
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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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11 >>> et.predictPosition(10) # doctest:+ELLIPSIS
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13 >>> et.predictPosition(11) # doctest:+ELLIPSIS
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15 >>> et.predictPosition(12) # doctest:+ELLIPSIS
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18 >>> import random
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19 >>> acceleration = lambda: random.uniform(-0.5,0.5)
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20 >>> steering = lambda: random.uniform(-0.1,0.1)
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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
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27 >>> p = moving.Point(3,4)
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28 >>> sp = prediction.SafetyPoint(p, 0.1, 0)
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29 >>> print(sp)
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30 3 4 0.1 0