def testCoca_BreakAdd_BrokenCocsDigraph():
print('==>> Testing Coca_ BreakAdd_ and BrokenCocsDiGraph instantiation')
g = RandomValuationDigraph(order=10)
#g = RandomWeakTournament(order=5)
#g.save('testCoca')
#g = Digraph('testCoca')
print(g.valuationdomain)
gp = PolarisedDigraph(g, 0.2)
#gp = IndeterminateDigraph(order=5)
h1 = CocaDigraph(digraph=gp, Comments=True)
h1.save('rescoca2')
h1.showAll()
g = RandomValuationDigraph(order=10)
h2 = BreakAddCocsDigraph(digraph=g, Comments=True)
h2.save('resbradco2')
h2.showAll()
## t = RandomPerformanceTableau(25)
## g = BipolarOutrankingDigraph(t)
g = RandomValuationDigraph(order=10, seed=3)
h3 = BrokenCocsDigraph(digraph=g, Comments=True)
h3.save('resbreakco2')
h3.showAll()
def testQualChoices():
print('==>> Testing qualified maximal choices extraction')
g = RandomBipolarOutrankingDigraph(numberOfActions=5, numberOfCriteria=7)
g.showMIS()
g.showMaxDomIrred()
g.showMaxAbsIrred()
print('==>> Testing qualified minimal choices extraction')
g = RandomValuationDigraph(order=5)
g.showAll()
g.showPreKernels()
g.showMinDom()
g.showMinAbs()
def testRandomValuationDigraph():
print('*==>> testing RandomValuationDigraph ----*')
g = RandomValuationDigraph(ndigits=3)
h = PolarisedDigraph(g, 0.70)
h.showRelationTable()
h.save('testPol')
hp = Digraph('testPol')
g.showRelationTable()
g.save('testVal')
gs = Digraph('testVal')
def testUnaryOperatorsNegationInverse():
print('*----- test negation and inverse operators (- ~) ----*')
g1 = RandomValuationDigraph(Normalized=True, IntegerValuation=True)
g1.showRelationTable()
g1.computeValuationStatistics(Comments=True)
dg1 = -g1
dg1.showRelationTable()
cg1 = ~g1
cg1.showRelationTable()
g1 = RandomOutrankingDigraph()
cdg1 = -(~g1)
cdg1.showRelationTable()
cd = CoDualDigraph(g1)
cd.showRelationTable()
def testFusionOperators():
print('*------- test fusion operators ------*')
from randomDigraphs import RandomValuationDigraph
g1 = RandomValuationDigraph(order=5, seed=1)
g2 = RandomValuationDigraph(order=5, seed=2)
g3 = RandomValuationDigraph(order=5, seed=3)
from digraphs import FusionLDigraph
g1.showRelationTable()
g2.showRelationTable()
g3.showRelationTable()
print('===> o-max')
fga = FusionLDigraph([g1, g2, g3], weights=None, operator='o-max')
fga.showRelationTable()
print('===> o-min')
fga = FusionLDigraph([g1, g2, g3], weights=None, operator='o-min')
fga.showRelationTable()
print('===> o-average')
fga = FusionLDigraph([g1, g2, g3], weights=None, operator='o-average')
fga.showRelationTable()
print('===> o-average, weights = [1,2,3]')
fga = FusionLDigraph([g1, g2, g3], weights=[1, 2, 3], operator='o-average')
fga.showRelationTable()
def testmaxHoleSize():
print('*------- test maximal hole size ------*')
g = RandomValuationDigraph(order=20)
g.computeMaxHoleSize(Comments=True)
print('Nbr of holes', g.nbrOfHoles)
print('Maximal hole size', g.maxHoleSize)
def testCompleteness():
print('*------- test (Weakly) Completeness ------*')
g = RandomValuationDigraph()
g.showRelationTable()
print('Relation %s is complete ? %s' %
(g.name, str(g.isComplete(Debug=True))))
print('Relation %s is weakly complete ? %s' %
(g.name, str(g.isWeaklyComplete(Debug=True))))
t = RandomCBPerformanceTableau(numberOfActions=9,
numberOfCriteria=5,
weightDistribution='equiobjectives')
g = BipolarOutrankingDigraph(t, Normalized=True)
g.showRelationTable()
print('Relation %s is complete ? %s' %
(g.name, str(g.isComplete(Debug=True))))
print('Relation %s is weakly complete ? %s' %
(g.name, str(g.isWeaklyComplete(Debug=True))))
gcd = CoDualDigraph(g)
gcd.showRelationTable()
print('Relation %s is complete ? %s' %
(gcd.name, str(gcd.isComplete(Debug=True))))
print('Relation %s is weakly complete ? %s' %
(gcd.name, str(gcd.isWeaklyComplete(Debug=True))))
def testIndeterminateDigraph():
print('*----- test IndeterminateDigraph -----*')
g = RandomValuationDigraph()
m = IndeterminateDigraph(g)
g.showShort()
g.showRelationTable()
def testODistance():
print('*==>> verifying ODistance between digraphs ---*')
g1 = RandomValuationDigraph(order=3)
print(g1.valuationdomain)
g1.save()
g2 = RandomValuationDigraph(order=3)
g1.computeODistance(g2)
#g1.recodeValuation(-1.0,1.0)
g2.recodeValuation(-1.0, 1.0)
g1.computeODistance(g2)
def testZoomingValuations():
print('*==>> zooming the valuation of digraphs ------*')
g = RandomValuationDigraph()
print(g.valuationdomain)
print(g.relation)
g.showRelationTable()
g.zoomValuation(2.0)
print(g.valuationdomain)
print(g.relation)
g.showRelationTable()
g.zoomValuation(0.25)
print(g.valuationdomain)
print(g.relation)
g.showRelationTable()
def testFixpointAlgorithmes():
print("==>> Testing Pirlot's and Bisdorff's fixpoint algorithm ---")
g = RandomValuationDigraph()
g.showStatistics()
print("Good Choices with Pirlot's algorithm")
g.computeGoodPirlotChoices(Comments=True)
print("Good Choices with Bisdorff's algorithm")
g.computeGoodChoices(Comments=True)
print(g.goodChoices)
print('-------')
print("Bad choices with Pirlot's algorithm")
g.computeBadPirlotChoices(Comments=True)
print("Bad Choices with Bisdorff's algorithm")
g.computeBadChoices(Comments=True)
print(g.badChoices)