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annotate trafficintelligence/tests/storage.txt @ 1086:8734742c08c0

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major refactoring of curvilinear trajectory projections
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Tue, 16 Oct 2018 12:46:29 -0400
parents a7ada64b8214
children 4356065ed3ca
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933670761a57 updated code to python 3 (tests pass and scripts run, but non-executed parts of code are probably still not correct)
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1 >>> from io import StringIO
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2 >>> from os import remove
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3 >>> from trafficintelligence.storage import *
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4 >>> from trafficintelligence.utils import openCheck, readline
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5 >>> from trafficintelligence.moving import MovingObject, Point, TimeInterval, Trajectory, prepareAlignments
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6
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7 >>> f = openCheck('non_existant_file.txt')
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8 File non_existant_file.txt could not be opened.
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10 >>> nonexistentFilename = "nonexistent"
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11 >>> loadTrajectoriesFromSqlite(nonexistentFilename, 'feature')
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12 []
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13
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14 >>> o1 = MovingObject.generate(2, Point(0.,0.), Point(1.,0.), TimeInterval(0,10))
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15 >>> o2 = MovingObject.generate(3, Point(1.,1.), Point(-0.5,-0.2), TimeInterval(0,9))
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16 >>> saveTrajectoriesToSqlite('test.sqlite', [o1, o2], 'feature')
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17 >>> objects = loadTrajectoriesFromSqlite('test.sqlite', 'feature')
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18 >>> objects[0].getNum() == o1.num
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19 True
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20 >>> objects[1].getNum() == o2.num
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21 True
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22 >>> o1.getTimeInterval() == objects[0].getTimeInterval()
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23 True
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24 >>> o2.getTimeInterval() == objects[1].getTimeInterval()
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25 True
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26 >>> o1.getVelocities().length() == objects[0].getVelocities().length()
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27 True
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28 >>> o2.getVelocities().length() == objects[1].getVelocities().length()
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29 True
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30 >>> o1.getVelocities() == objects[0].getVelocities()
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31 True
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32 >>> o2.getVelocities() == objects[1].getVelocities()
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33 True
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34 >>> o1.getPositions() == objects[0].getPositions()
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35 True
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36 >>> o2.getPositions() == objects[1].getPositions()
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37 True
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38 >>> objects = loadTrajectoriesFromSqlite('test.sqlite', 'feature', timeStep = 2)
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39 >>> objects[0].positions.length()
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40 6
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41 >>> objects[1].positions.length()
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42 5
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43 >>> objects = loadTrajectoriesFromSqlite('test.sqlite', 'feature', timeStep = 3)
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44 >>> objects[0].positions.length()
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45 4
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46 >>> objects[1].positions.length()
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47 4
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48 >>> remove('test.sqlite')
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49
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50 >>> align1 = Trajectory.fromPointList([Point(-1, 0), Point(20, 0)])
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51 >>> align2 = Trajectory.fromPointList([Point(-9, -3), Point(6, 3)])
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52 >>> align1.computeCumulativeDistances()
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53 >>> align2.computeCumulativeDistances()
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54 >>> prepareAlignments([align1, align2])
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55 >>> o1.projectCurvilinear([align1, align2])
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56 >>> o2.projectCurvilinear([align1, align2])
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57 >>> saveTrajectoriesToSqlite('test.sqlite', [o1, o2], 'curvilinear')
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58 >>> addCurvilinearTrajectoriesFromSqlite('test.sqlite', {o.num: o for o in objects})
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59 >>> o1.curvilinearPositions[3][:2] == objects[0].curvilinearPositions[3][:2]
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60 True
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61 >>> o1.curvilinearPositions[7][:2] == objects[0].curvilinearPositions[7][:2]
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62 True
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63 >>> [str(l) for l in o1.curvilinearPositions.getLanes()] == objects[0].curvilinearPositions.getLanes()
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64 True
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65 >>> o2.curvilinearPositions[2][:2] == objects[1].curvilinearPositions[2][:2]
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66 True
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67 >>> o2.curvilinearPositions[6][:2] == objects[1].curvilinearPositions[6][:2]
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68 True
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69 >>> [str(l) for l in o2.curvilinearPositions.getLanes()] == objects[1].curvilinearPositions.getLanes()
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70 True
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71 >>> remove('test.sqlite')
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72
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73 >>> f1 = MovingObject.generate(3, Point(0.,0.), Point(1.,0.), TimeInterval(0,10))
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74 >>> f2 = MovingObject.generate(4, Point(1.,1.), Point(-0.5,-0.2), TimeInterval(0,9))
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75 >>> o1 = MovingObject(num = 1, userType = 1)
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76 >>> o1.features = [f1, f2]
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77 >>> saveTrajectoriesToSqlite('test.sqlite', [o1], 'object')
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78 >>> objects = loadTrajectoriesFromSqlite('test.sqlite', 'object', withFeatures = True)
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79 >>> len(objects)
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80 1
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81 >>> reloaded1 = objects[0]
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82 >>> reloaded1.getNum() == o1.getNum()
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83 True
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84 >>> reloaded1.getUserType() == o1.getUserType()
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85 True
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86 >>> len(reloaded1.featureNumbers)
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87 2
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88 >>> len(reloaded1.features)
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89 2
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90 >>> reloaded1.getPositionAt(0) == Point.midPoint(f1.getPositionAt(0), f2.getPositionAt(0))
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91 True
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92 >>> reloaded1.getPositionAt(5) == Point.midPoint(f1.getPositionAt(5), f2.getPositionAt(5))
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93 True
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94 >>> reloaded1.getPositionAt(10) == f1.getPositionAt(10)
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95 True
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96 >>> set(reloaded1.featureNumbers) == set([f1.num, f2.num])
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97 True
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98 >>> remove('test.sqlite')
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99
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100 >>> strio = StringIO('# asdlfjasdlkj0\nsadlkfjsdlakjf')
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101 >>> readline(strio)
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102 'sadlkfjsdlakjf'
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103 >>> strio = StringIO('# asdlfjasdlkj0\nsadlkfjsdlakjf')
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104 >>> readline(strio, ['#'])
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105 'sadlkfjsdlakjf'
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106 >>> strio = StringIO('# asdlfjasdlkj0\nsadlkfjsdlakjf')
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107 >>> readline(strio, ['%'])
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108 '# asdlfjasdlkj0'
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109 >>> strio = StringIO('# asdlfjasdlkj0\nsadlkfjsdlakjf')
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110 >>> readline(strio, '%*$')
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111 '# asdlfjasdlkj0'
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112 >>> readline(strio, '%#')
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113 'sadlkfjsdlakjf'
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114
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115 >>> from sklearn.mixture import GaussianMixture
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116 >>> from numpy.random import random_sample
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117 >>> nPoints = 50
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118 >>> points = random_sample(nPoints*2).reshape(nPoints,2)
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119 >>> gmm = GaussianMixture(4, covariance_type = 'full')
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120 >>> tmp = gmm.fit(points)
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121 >>> gmmId = 0
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122 >>> savePOIsToSqlite('pois-tmp.sqlite', gmm, 'end', gmmId)
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123 >>> reloadedGmm = loadPOIsFromSqlite('pois-tmp.sqlite')
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124 >>> sum(gmm.predict(points) == reloadedGmm[gmmId].predict(points)) == nPoints
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125 True
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126 >>> reloadedGmm[gmmId].gmmTypes[0] == 'end'
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127 True
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128 >>> remove('pois-tmp.sqlite')