view trafficintelligence/tests/indicators.txt @ 1306:4bc0651d91f9 default tip

bug corrected generating last velocity twice and saving it (not saved, duplicated at loading time
author Nicolas Saunier <nicolas.saunier@polymtl.ca>
date Mon, 30 Mar 2026 15:31:34 -0400
parents 76f5693b530c
children
line wrap: on
line source

>>> from trafficintelligence.indicators import *
>>> from trafficintelligence.moving import TimeInterval, Trajectory

>>> indic1 = TemporalIndicator('bla', {4:0,5:3,6:-4})
>>> indic1.empty()
False
>>> indic1.getIthValue(1)
3
>>> indic1.getIthValue(3)
>>> indic1[6]
-4
>>> indic1[7]
>>> [v for v in indic1]
[0, 3, -4]
>>> indic1 = TemporalIndicator('bla', {2:0,4:3,5:-5})
>>> indic1.getIthValue(1)
3
>>> indic1.getIthValue(3)
>>> indic1[2]
0

>>> ttc = SeverityIndicator('TTC', {t:t-1 for t in TimeInterval(1,11)}, mostSevereIsMax = False)
>>> ttc.getMostSevereValue(1)
np.float64(0.0)
>>> ttc.getMostSevereValue(2)
np.float64(0.5)
>>> ttc.getMostSevereValue(centile = 10.)
np.float64(1.0)
>>> ttc.mostSevereIsMax = True
>>> ttc.getMostSevereValue(1)
np.float64(10.0)
>>> ttc.getMostSevereValue(2)
np.float64(9.5)
>>> ttc.getMostSevereValue(centile = 10.)
np.float64(9.0)

>>> t1 = Trajectory([[0.5,1.5,2.5],[0.5,3.5,6.5]])
>>> m = indicatorMap([1,2,3], t1, 1)
>>> m[(1.0, 3.0)]
np.float64(2.0)
>>> m[(2.0, 6.0)]
np.float64(3.0)
>>> m[(0.0, 0.0)]
np.float64(1.0)
>>> m = indicatorMap([1,2,3], t1, 4)
>>> m[(0.0, 1.0)]
np.float64(3.0)
>>> m[(0.0, 0.0)]
np.float64(1.5)