def testbigOutrankingDigraph():
print("==>> Testing bigOutrankingDigraph instantiation")
# from outrankingDigraphs import BipolarOutrankingDigraph
MP = True
t0 = time()
ctp = cR3ObjPT(numberOfActions=100, seed=100)
# tp = R3ObjPT(numberOfActions=100,seed=100)
print(time() - t0)
print(total_size(ctp.evaluation))
bg1 = BigIntegerOutrankingDigraph(
ctp,
quantiles=10,
quantilesOrderingStrategy="average",
LowerClosed=True,
CopyPerfTab=True,
minimalComponentSize=1,
Threading=MP,
Debug=False,
)
print(bg1.computeDecompositionSummaryStatistics())
bg1.showDecomposition()
print(bg1)
t0 = time()
gi = IntegerBipolarOutrankingDigraph(ctp, Threading=MP)
# g = BipolarOutrankingDigraph(tp,Normalized=True,Threading=MP)
print(time() - t0)
print(total_size(gi))
t0 = time()
print("Big outranking digraph's correlation with standard outranking digraph")
print(bg1.computeOrdinalCorrelation(gi, Debug=False))
print(time() - t0)
def testCopelandOrdering():
print('==>> Testing Copeland order computation')
t = cR3ObjPT(numberOfActions=10, seed=1)
print(t)
t.showPerformanceTableau()
g = IntegerBipolarOutrankingDigraph(t, Threading=True, nbrCores=4)
print(g.computeCopelandRanking())
print(g.computeCopelandOrder())
g.showRelationMap()
def testStandardConversion():
print('==>> Testing 2 Standard conversion')
t = cR3ObjPT(numberOfActions=10, seed=1)
print(t)
gi = IntegerBipolarOutrankingDigraph(t, Threading=True, nbrCores=4)
print(gi)
gi.showRelationTable()
tstd = t.convert2Standard()
g = BipolarOutrankingDigraph(tstd)
print(g)
g.showRelationTable()
def testcIntegerOutrankingDigraph():
print('==>> Testing IntegerBipolarOutrankingDigraph instantiation')
tc = cR3ObjPT(seed=1)
print(tc)
gi = IntegerBipolarOutrankingDigraph(tc, Threading=True, nbrCores=4)
print(gi)
gi.showRelationTable()
tcstd = tc.convert2Standard()
g = BipolarOutrankingDigraph(tcstd)
print(g)
g.showRelationTable()
def testSaveCPerformanceTableau():
print('==>> Testing CPerformanceTableau saving and loading')
t = cR3ObjPT(numberOfActions=5, seed=1)
print(t)
t.showPerformanceTableau()
t.save('voir')
g = IntegerBipolarOutrankingDigraph(t, Threading=True, nbrCores=4)
g.showRelationTable()
t1 = cPerformanceTableau('voir')
print(t)
t1.showPerformanceTableau()
g1 = IntegerBipolarOutrankingDigraph(t, Threading=True, nbrCores=4)
g1.showRelationTable()
def testconvert2DecimalValuation():
t = cR3ObjPT(numberOfActions=13,numberOfCriteria=7,seed=2)
g = IntegerBipolarOutrankingDigraph(t)
print(g)
g.convertValuation2Decimal()
print(g)
print(g.valuationdomain)
g.recodeValuation(-1,1)
print(g.valuationdomain)
g.showRelationMap()
t.showPerformanceTableau()
g.convertEvaluationFloatToDecimal()
t.showHTMLPerformanceTableau()
## minimalComponentSize=minimalSize,
## LowerClosed=False,
## Threading=MP,
## nbrOfCPUs=nbrOfCPUs,
## nbrOfThreads=nbrOfThreads,
## CopyPerfTab=False,
## Comments=True,
## Debug=False)
##
## print(bg1)
t0 = time()
tp2 = cR3ObjPT(numberOfActions=nbrActions,
numberOfCriteria=nbrCriteria,
weightDistribution='equiobjectives',
# commonPercentiles={'ind':0.01,'pref':0.025,'veto':0.975},
commonMode=commonPar,
# Threading=MP,
#BigData=True,
# nbrCores=nbrOfCPUs,
seed=seed)
print(tp2.name)
print(time()-t0)
bg2 = iBg.BigIntegerOutrankingDigraph(tp2,quantiles=qtiles,
quantilesOrderingStrategy='average',
minimalComponentSize=minimalSize,
LowerClosed=False,
Threading=MP,
CopyPerfTab=False,
nbrOfCPUs=nbrOfCPUs,
nbrOfThreads=nbrOfCPUs,
nbrOfSubProcesses=nbrOfSubProcesses,
def testcIntegerOutrankingDigraph():
t = cR3ObjPT(seed=1)
gi = IntegerBipolarOutrankingDigraph(t)
gi.showShort()
print(gi)
gi.showRelationTable()
