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annotate python/tests/moving.txt @ 569:0057c04f94d5

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work in progress on intersections (for PET)
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Wed, 06 Aug 2014 17:53:38 -0400
parents a3add9f751ef
children a9c1d61a89b4
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1 >>> from moving import *
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2 >>> import numpy as np
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3
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4 >>> Interval().empty()
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5 True
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6 >>> Interval(0,1).empty()
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7 False
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8 >>> Interval(0,1)
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9 [0, 1]
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10 >>> Interval(0,1).length()
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11 1.0
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12 >>> Interval(23.2,24.9).length()
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13 1.6999999999999993
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14 >>> Interval(10,8).length()
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15 0.0
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16
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17 >>> TimeInterval(0,1).length()
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18 2.0
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19 >>> TimeInterval(10,8).length()
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20 0.0
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21
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916678481896 corrected bug for TimeInterval interation and added corresponding test
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22 >>> [i for i in TimeInterval(9,13)]
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23 [9, 10, 11, 12, 13]
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25 >>> TimeInterval(2,5).equal(TimeInterval(2,5))
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26 True
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27 >>> TimeInterval(2,5).equal(TimeInterval(2,4))
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28 False
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29 >>> TimeInterval(2,5).equal(TimeInterval(5,2))
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30 False
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31
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32 >>> TimeInterval(3,6).distance(TimeInterval(4,6))
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33 0
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34 >>> TimeInterval(3,6).distance(TimeInterval(6,10))
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35 0
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36 >>> TimeInterval(3,6).distance(TimeInterval(8,10))
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37 2
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38 >>> TimeInterval(20,30).distance(TimeInterval(3,15))
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39 5
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40 >>> unionIntervals([TimeInterval(3,6), TimeInterval(8,10),TimeInterval(11,15)])
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41 [3, 15]
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42
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43 >>> Point(3,4)-Point(1,7)
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44 (2.000000,-3.000000)
451
cd342a774806 Point/CurvilinearTrajectory/Interaction utiles
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45 >>> -Point(1,2)
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46 (-1.000000,-2.000000)
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47
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48 >>> Point(3,2).norm2Squared()
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49 13
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50
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51 >>> Point.distanceNorm2(Point(3,4),Point(1,7))
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52 3.605551275463989
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53
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54 >>> Point(3,2).inPolygonNoShapely(np.array([[0,0],[1,0],[1,1],[0,1]]))
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55 False
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56 >>> Point(3,2).inPolygonNoShapely(np.array([[0,0],[4,0],[4,3],[0,3]]))
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57 True
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58
255
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59 >>> predictPositionNoLimit(10, Point(0,0), Point(1,1)) # doctest:+ELLIPSIS
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60 ((1.0...,1.0...), (10.0...,10.0...))
249
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61
569
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62 >>> segmentIntersection(Point(0,0), Point(0,1), Point(1,1), Point(2,3))
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63 >>> segmentIntersection(Point(0,1), Point(0,3), Point(1,0), Point(3,1))
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64 >>> segmentIntersection(Point(0,0), Point(2,2), Point(0,2), Point(2,0))
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65 (1.000000,1.000000)
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66 >>> segmentIntersection(Point(0,1), Point(1,2), Point(2,0), Point(3,2))
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67
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68 >>> left = [(92.291666666666686, 102.99239033124439), (56.774193548387103, 69.688898836168306)]
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69 >>> middle = [(87.211021505376351, 93.390778871978512), (59.032258064516128, 67.540286481647257)]
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70 >>> right = [(118.82392473118281, 115.68263205013426), (63.172043010752688, 66.600268576544309)]
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71 >>> alignments = [left, middle, right]
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72 >>> getSYfromXY(73, 82, alignments)
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73 [1, 0, 73.81997726720346, 81.10617000672484, 18.172277808821125, 18.172277808821125, 1.2129694042343868]
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74
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75 >>> Trajectory().length()
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76 0
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77 >>> t1 = Trajectory([[0.5,1.5,2.5],[0.5,3.5,6.5]])
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78 >>> t1.length() == 3.
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79 True
69
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80 >>> t1[1]
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81 (1.500000,3.500000)
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82 >>> t1.getTrajectoryInPolygonNoShapely(np.array([[0,0],[4,0],[4,3],[0,3]]))
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83 (0.500000,0.500000)
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84 >>> t1.getTrajectoryInPolygonNoShapely(np.array([[10,10],[14,10],[14,13],[10,13]])).length()
113
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85 0
284
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86
542
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87 >>> t1.differentiate()
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88 (1.000000,3.000000) (1.000000,3.000000)
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89 >>> t1.differentiate(True)
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90 (1.000000,3.000000) (1.000000,3.000000) (1.000000,3.000000)
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91 >>> t1 = Trajectory([[0.5,1.5,3.5],[0.5,2.5,7.5]])
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92 >>> t1.differentiate()
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93 (1.000000,2.000000) (2.000000,5.000000)
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94
369
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95 >>> from utils import LCSS
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96 >>> lcss = LCSS(lambda x,y: Point.distanceNorm2(x,y) <= 0.1)
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97 >>> Trajectory.lcss(t1, t1, lcss)
284
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98 3
369
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99 >>> lcss = LCSS(lambda p1, p2: (p1-p2).normMax() <= 0.1)
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100 >>> Trajectory.lcss(t1, t1, lcss)
284
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101 3
345
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102
504
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103 >>> p1=Point(0,0)
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104 >>> p2=Point(1,0)
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105 >>> v1 = Point(0.1,0.1)
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106 >>> v2 = Point(-0.1, 0.1)
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107 >>> abs(Point.timeToCollision(p1, p2, v1, v2, 0.)-5.0) < 0.00001
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108 True
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109 >>> abs(Point.timeToCollision(p1, p2, v1, v2, 0.1)-4.5) < 0.00001
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110 True
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111 >>> p1=Point(0,1)
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112 >>> p2=Point(1,0)
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113 >>> v1 = Point(0,0.1)
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114 >>> v2 = Point(0.1, 0)
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115 >>> Point.timeToCollision(p1, p2, v1, v2, 0.) == None
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116 True
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117 >>> Point.timeToCollision(p2, p1, v2, v1, 0.) == None
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118 True
504
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119
542
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120 >>> t = CurvilinearTrajectory(S = [1., 2., 3., 5.], Y = [0.5, 0.5, 0.6, 0.7], lanes = ['1']*4)
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121 >>> t.differentiate() # doctest:+ELLIPSIS
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parents: 531
diff changeset
122 [1.0, 0.0, '1'] [1.0, 0.099..., '1'] [2.0, 0.099..., '1']
a3add9f751ef added differentiate function for curvilinear trajectories and modified the addPosition functions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 531
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123 >>> t.differentiate(True) # doctest:+ELLIPSIS
a3add9f751ef added differentiate function for curvilinear trajectories and modified the addPosition functions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 531
diff changeset
124 [1.0, 0.0, '1'] [1.0, 0.099..., '1'] [2.0, 0.099..., '1'] [2.0, 0.099..., '1']
a3add9f751ef added differentiate function for curvilinear trajectories and modified the addPosition functions
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 531
diff changeset
125
345
fa64b2e3a64f added simple classification based on speed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 284
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126 >>> o1 = MovingObject(positions = Trajectory([[0]*3,[2]*3]), velocities = Trajectory([[0]*3,[1]*3]))
524
1dced8932b08 corrected bugs
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 504
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127 >>> o1.classifyUserTypeSpeedMotorized(0.5, np.median)
345
fa64b2e3a64f added simple classification based on speed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 284
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128 >>> userTypeNames[o1.getUserType()]
fa64b2e3a64f added simple classification based on speed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 284
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129 'car'
524
1dced8932b08 corrected bugs
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 504
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130 >>> o1.classifyUserTypeSpeedMotorized(0.5, np.mean)
345
fa64b2e3a64f added simple classification based on speed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 284
diff changeset
131 >>> userTypeNames[o1.getUserType()]
fa64b2e3a64f added simple classification based on speed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 284
diff changeset
132 'car'
524
1dced8932b08 corrected bugs
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 504
diff changeset
133 >>> o1.classifyUserTypeSpeedMotorized(1.5, np.median)
345
fa64b2e3a64f added simple classification based on speed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 284
diff changeset
134 >>> userTypeNames[o1.getUserType()]
fa64b2e3a64f added simple classification based on speed
Nicolas Saunier <nicolas.saunier@polymtl.ca>
parents: 284
diff changeset
135 'pedestrian'