def testNormedQuantilesRatingDigraph():
print('*-------- Testing NormedQuantilesRatingDigraph class -------')
from randomPerfTabs import RandomCBPerformanceTableau
from randomPerfTabs import RandomPerformanceGenerator
import random
seed = random.randint(1,100)
#seed = 15
print('=== >> seed = ',seed)
nbrActions=1000
nbrCrit = 13
tp = RandomCBPerformanceTableau(numberOfActions=nbrActions,NegativeWeights=True,
numberOfCriteria=nbrCrit,seed=seed)
tp.convertWeights2Positive()
pq = PerformanceQuantiles(tp,'deciles',LowerClosed=False,Debug=False)
tpg = RandomPerformanceGenerator(tp,instanceCounter=0,seed=seed*2)
newActions = tpg.randomActions(10)
pq.updateQuantiles(newActions,historySize=100)
nrq = NormedQuantilesRatingDigraph(pq,newActions,
WithSorting=True,
Debug=False)
nrq.showQuantilesRating()
nrq.exportRatingGraphViz(graphType='pdf')
nrq.showSorting()
nrq.showActionsSortingResult()
nrq.showQuantilesSorting()
newActions = tpg.randomPerformanceTableau(1000)
pq.updateQuantiles(newActions,historySize=0)
newActions = tpg.randomActions(10)
pq.updateQuantiles(newActions,historySize=None,Debug=False)
nrq = NormedQuantilesRatingDigraph(pq,newActions,quantiles='heptiles',
WithSorting=True,
Debug=False)
nrq.showQuantilesRating()
nrq.exportRatingGraphViz(graphType='pdf')
nrq.showSorting()
nrq.showActionsSortingResult()
nrq.showQuantilesSorting()
print(pq.computeQuantileProfile(0.5))
pq.save(fileName='testPerfQuant')
pq1 = PerformanceQuantiles('testPerfQuant')
nrq1 = NormedQuantilesRatingDigraph(pq1,newActions,
WithSorting=False,
Debug=False)
nrq1.showQuantilesRating()
