Mercurial Hosting > traffic-intelligence
annotate python/tests/moving.txt @ 573:cae4e5f3fe9f
fixed and simplified getSYfromXY
author | Nicolas Saunier <nicolas.saunier@polymtl.ca> |
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date | Tue, 12 Aug 2014 17:47:16 -0400 |
parents | a9c1d61a89b4 |
children | 0eff0471f9cb |
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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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22 >>> [i for i in TimeInterval(9,13)] |
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23 [9, 10, 11, 12, 13] |
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24 |
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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) |
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45 >>> -Point(1,2) |
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46 (-1.000000,-2.000000) |
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47 >>> Point(1,2).multiply(0.5) |
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48 (0.500000,1.000000) |
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49 |
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50 >>> Point(3,2).norm2Squared() |
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51 13 |
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52 |
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53 >>> Point.distanceNorm2(Point(3,4),Point(1,7)) |
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54 3.605551275463989 |
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55 |
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56 >>> Point(3,2).inPolygonNoShapely(np.array([[0,0],[1,0],[1,1],[0,1]])) |
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57 False |
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58 >>> Point(3,2).inPolygonNoShapely(np.array([[0,0],[4,0],[4,3],[0,3]])) |
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59 True |
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60 |
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61 >>> predictPositionNoLimit(10, Point(0,0), Point(1,1)) # doctest:+ELLIPSIS |
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62 ((1.0...,1.0...), (10.0...,10.0...)) |
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63 |
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64 >>> segmentIntersection(Point(0,0), Point(0,1), Point(1,1), Point(2,3)) |
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65 >>> segmentIntersection(Point(0,1), Point(0,3), Point(1,0), Point(3,1)) |
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66 >>> segmentIntersection(Point(0.,0.), Point(2.,2.), Point(0.,2.), Point(2.,0.)) |
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67 (1.000000,1.000000) |
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68 >>> segmentIntersection(Point(0,1), Point(1,2), Point(2,0), Point(3,2)) |
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69 |
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70 >>> left = [(92.291666666666686, 102.99239033124439), (56.774193548387103, 69.688898836168306)] |
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71 >>> middle = [(87.211021505376351, 93.390778871978512), (59.032258064516128, 67.540286481647257)] |
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72 >>> right = [(118.82392473118281, 115.68263205013426), (63.172043010752688, 66.600268576544309)] |
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73 >>> alignments = [left, middle, right] |
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74 >>> getSYfromXY(73, 82, alignments) |
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75 [1, 0, 73.81997726720346, 81.10617000672484, 18.172277808821125, 18.172277808821125, 1.2129694042343868] |
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76 >>> getSYfromXY(78, 83, alignments, 0.5) |
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77 [1, 0, 77.03318826883, 84.05388936710071, 13.811799123113715, 13.811799123113715, -1.4301775140225983] |
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78 |
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79 >>> Trajectory().length() |
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80 0 |
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81 >>> t1 = Trajectory([[0.5,1.5,2.5],[0.5,3.5,6.5]]) |
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82 >>> t1.length() == 3. |
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83 True |
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84 >>> t1[1] |
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85 (1.500000,3.500000) |
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86 >>> t1.getTrajectoryInPolygonNoShapely(np.array([[0,0],[4,0],[4,3],[0,3]])) |
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87 (0.500000,0.500000) |
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88 >>> t1.getTrajectoryInPolygonNoShapely(np.array([[10,10],[14,10],[14,13],[10,13]])).length() |
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89 0 |
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90 |
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91 >>> t1.differentiate() |
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92 (1.000000,3.000000) (1.000000,3.000000) |
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93 >>> t1.differentiate(True) |
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94 (1.000000,3.000000) (1.000000,3.000000) (1.000000,3.000000) |
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95 >>> t1 = Trajectory([[0.5,1.5,3.5],[0.5,2.5,7.5]]) |
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96 >>> t1.differentiate() |
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97 (1.000000,2.000000) (2.000000,5.000000) |
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98 |
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99 >>> from utils import LCSS |
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100 >>> lcss = LCSS(lambda x,y: Point.distanceNorm2(x,y) <= 0.1) |
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101 >>> Trajectory.lcss(t1, t1, lcss) |
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102 3 |
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103 >>> lcss = LCSS(lambda p1, p2: (p1-p2).normMax() <= 0.1) |
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104 >>> Trajectory.lcss(t1, t1, lcss) |
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105 3 |
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106 |
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107 >>> p1=Point(0,0) |
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108 >>> p2=Point(1,0) |
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109 >>> v1 = Point(0.1,0.1) |
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110 >>> v2 = Point(-0.1, 0.1) |
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111 >>> abs(Point.timeToCollision(p1, p2, v1, v2, 0.)-5.0) < 0.00001 |
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112 True |
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113 >>> abs(Point.timeToCollision(p1, p2, v1, v2, 0.1)-4.5) < 0.00001 |
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114 True |
531
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115 >>> p1=Point(0,1) |
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116 >>> p2=Point(1,0) |
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117 >>> v1 = Point(0,0.1) |
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118 >>> v2 = Point(0.1, 0) |
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119 >>> Point.timeToCollision(p1, p2, v1, v2, 0.) == None |
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120 True |
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121 >>> Point.timeToCollision(p2, p1, v2, v1, 0.) == None |
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122 True |
504
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123 |
542
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124 >>> t = CurvilinearTrajectory(S = [1., 2., 3., 5.], Y = [0.5, 0.5, 0.6, 0.7], lanes = ['1']*4) |
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125 >>> t.differentiate() # doctest:+ELLIPSIS |
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126 [1.0, 0.0, '1'] [1.0, 0.099..., '1'] [2.0, 0.099..., '1'] |
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127 >>> t.differentiate(True) # doctest:+ELLIPSIS |
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128 [1.0, 0.0, '1'] [1.0, 0.099..., '1'] [2.0, 0.099..., '1'] [2.0, 0.099..., '1'] |
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129 |
345
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130 >>> o1 = MovingObject(positions = Trajectory([[0]*3,[2]*3]), velocities = Trajectory([[0]*3,[1]*3])) |
524
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131 >>> o1.classifyUserTypeSpeedMotorized(0.5, np.median) |
345
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132 >>> userTypeNames[o1.getUserType()] |
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133 'car' |
524
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134 >>> o1.classifyUserTypeSpeedMotorized(0.5, np.mean) |
345
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135 >>> userTypeNames[o1.getUserType()] |
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136 'car' |
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137 >>> o1.classifyUserTypeSpeedMotorized(1.5, np.median) |
345
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138 >>> userTypeNames[o1.getUserType()] |
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139 'pedestrian' |