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diff python/tests/moving.txt @ 631:2d1d33ae1c69
major work on pPET and pet, issues remain for pPET computed with predicted trajectories
| author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
|---|---|
| date | Tue, 17 Feb 2015 03:55:55 +0100 |
| parents | 17b02c8054d0 |
| children | dc70d9e711f5 |
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--- a/python/tests/moving.txt Tue Feb 17 02:21:31 2015 +0100 +++ b/python/tests/moving.txt Tue Feb 17 03:55:55 2015 +0100 @@ -53,9 +53,9 @@ >>> Point.distanceNorm2(Point(3,4),Point(1,7)) 3.605551275463989 ->>> Point(3,2).inPolygonNoShapely(np.array([[0,0],[1,0],[1,1],[0,1]])) +>>> Point(3,2).inPolygon(np.array([[0,0],[1,0],[1,1],[0,1]])) False ->>> Point(3,2).inPolygonNoShapely(np.array([[0,0],[4,0],[4,3],[0,3]])) +>>> Point(3,2).inPolygon(np.array([[0,0],[4,0],[4,3],[0,3]])) True >>> predictPositionNoLimit(10, Point(0,0), Point(1,1)) # doctest:+ELLIPSIS @@ -84,10 +84,6 @@ True >>> t1[1] (1.500000,3.500000) ->>> t1.getTrajectoryInPolygonNoShapely(np.array([[0,0],[4,0],[4,3],[0,3]])) -(0.500000,0.500000) ->>> t1.getTrajectoryInPolygonNoShapely(np.array([[10,10],[14,10],[14,13],[10,13]])).length() -0 >>> t1.differentiate() (1.000000,3.000000) (1.000000,3.000000) @@ -141,6 +137,14 @@ >>> Point.midPoint(p1, p2) (0.500000,0.500000) +>>> o1 = MovingObject.generate(Point(-5.,0.), Point(1.,0.), TimeInterval(0,10)) +>>> o2 = MovingObject.generate(Point(0.,-5.), Point(0.,1.), TimeInterval(0,10)) +>>> MovingObject.computePET(o1, o2, 0.1) +0.0 +>>> o2 = MovingObject.generate(Point(0.,-5.), Point(0.,1.), TimeInterval(5,15)) +>>> MovingObject.computePET(o1, o2, 0.1) +5.0 + >>> t = CurvilinearTrajectory(S = [1., 2., 3., 5.], Y = [0.5, 0.5, 0.6, 0.7], lanes = ['1']*4) >>> t.differentiate() # doctest:+ELLIPSIS [1.0, 0.0, '1'] [1.0, 0.099..., '1'] [2.0, 0.099..., '1']