>>> from storage import *
>>> from StringIO import StringIO
>>> from moving import MovingObject, Point, TimeInterval, Trajectory, prepareSplines

>>> f = openCheck('non_existant_file.txt')
File non_existant_file.txt could not be opened.

>>> nonexistentFilename = "nonexistent"
>>> loadPrototypeMatchIndexesFromSqlite(nonexistentFilename)
DB Error: no such table: prototypes
[]
>>> loadTrajectoriesFromSqlite(nonexistentFilename, 'feature')
DB Error: no such table: positions
DB Error: no such table: velocities
[]
>>> from os import remove
>>> remove(nonexistentFilename)

>>> o1 = MovingObject.generate(Point(0.,0.), Point(1.,0.), TimeInterval(0,10))
>>> o1.num = 2
>>> o2 = MovingObject.generate(Point(1.,1.), Point(-0.5,-0.2), TimeInterval(0,9))
>>> o2.num = 3
>>> saveTrajectoriesToSqlite('test.sqlite', [o1, o2], 'feature')
>>> objects = loadTrajectoriesFromSqlite('test.sqlite', 'feature')
>>> objects[0].getNum() == o1.num
True
>>> objects[1].getNum() == o2.num
True
>>> o1.getTimeInterval() == objects[0].getTimeInterval()
True
>>> o2.getTimeInterval() == objects[1].getTimeInterval()
True
>>> o1.getVelocities() == objects[0].getVelocities()
True
>>> o2.getVelocities() == objects[1].getVelocities()
True
>>> o1.getPositions() == objects[0].getPositions()
True
>>> o2.getPositions() == objects[1].getPositions()
True
>>> objects = loadTrajectoriesFromSqlite('test.sqlite', 'feature', timeStep = 2)
>>> objects[0].positions.length()
6
>>> objects[1].positions.length()
5
>>> objects = loadTrajectoriesFromSqlite('test.sqlite', 'feature', timeStep = 3)
>>> objects[0].positions.length()
4
>>> objects[1].positions.length()
4
>>> align1 = Trajectory.fromPointList([Point(-1, 0), Point(20, 0)])
>>> align2 = Trajectory.fromPointList([Point(-9, -3), Point(6, 3)])
>>> align1.computeCumulativeDistances()
>>> align2.computeCumulativeDistances()
>>> prepareSplines([align1, align2])
>>> o1.projectCurvilinear([align1, align2])
>>> o2.projectCurvilinear([align1, align2])
>>> saveTrajectoriesToSqlite('test.sqlite', [o1, o2], 'curvilinear')
>>> addCurvilinearTrajectoriesFromSqlite('test.sqlite', {o.num: o for o in objects})
>>> o1.curvilinearPositions[3][:2] == objects[0].curvilinearPositions[3][:2]
True
>>> o1.curvilinearPositions[7][:2] == objects[0].curvilinearPositions[7][:2]
True
>>> [str(l) for l in o1.curvilinearPositions.getLanes()] == objects[0].curvilinearPositions.getLanes()
True
>>> o2.curvilinearPositions[2][:2] == objects[1].curvilinearPositions[2][:2]
True
>>> o2.curvilinearPositions[6][:2] == objects[1].curvilinearPositions[6][:2]
True
>>> [str(l) for l in o2.curvilinearPositions.getLanes()] == objects[1].curvilinearPositions.getLanes()
True
>>> remove('test.sqlite')

>>> f1 = MovingObject.generate(Point(0.,0.), Point(1.,0.), TimeInterval(0,10))
>>> f1.num = 3
>>> f2 = MovingObject.generate(Point(1.,1.), Point(-0.5,-0.2), TimeInterval(0,9))
>>> f2.num = 4
>>> o1 = MovingObject(num = 1, userType = 1)
>>> o1.features = [f1, f2]
>>> saveTrajectoriesToSqlite('test.sqlite', [o1], 'object')
>>> objects = loadTrajectoriesFromSqlite('test.sqlite', 'object', withFeatures = True)
>>> len(objects)
1
>>> reloaded1 = objects[0]
>>> reloaded1.getNum() == o1.getNum()
True
>>> reloaded1.getUserType() == o1.getUserType()
True
>>> len(reloaded1.featureNumbers)
2
>>> len(reloaded1.features)
2
>>> reloaded1.getPositionAt(0) == Point.midPoint(f1.getPositionAt(0), f2.getPositionAt(0))
True
>>> reloaded1.getPositionAt(5) == Point.midPoint(f1.getPositionAt(5), f2.getPositionAt(5))
True
>>> reloaded1.getPositionAt(10) == f1.getPositionAt(10)
True
>>> set(reloaded1.featureNumbers) == set([f1.num, f2.num])
True
>>> remove('test.sqlite')

>>> strio = StringIO('# asdlfjasdlkj0\nsadlkfjsdlakjf')
>>> readline(strio)
'sadlkfjsdlakjf'
>>> strio = StringIO('# asdlfjasdlkj0\nsadlkfjsdlakjf')
>>> readline(strio, ['#'])
'sadlkfjsdlakjf'
>>> strio = StringIO('# asdlfjasdlkj0\nsadlkfjsdlakjf')
>>> readline(strio, ['%'])
'# asdlfjasdlkj0'
>>> strio = StringIO('# asdlfjasdlkj0\nsadlkfjsdlakjf')
>>> readline(strio, '%*$')
'# asdlfjasdlkj0'
>>> readline(strio, '%#')
'sadlkfjsdlakjf'

>>> from sklearn.mixture import GaussianMixture
>>> from numpy.random import random_sample
>>> nPoints = 50
>>> points = random_sample(nPoints*2).reshape(nPoints,2)
>>> gmm = GaussianMixture(4, covariance_type = 'full')
>>> tmp = gmm.fit(points)
>>> gmmId = 0
>>> savePOIs('pois-tmp.sqlite', gmm, 'end', gmmId)
>>> reloadedGmm = loadPOIs('pois-tmp.sqlite')
>>> sum(gmm.predict(points) == reloadedGmm[gmmId].predict(points)) == nPoints
True
>>> reloadedGmm[gmmId].gmmTypes[0] == 'end'
True
>>> remove('pois-tmp.sqlite')