Ejemplo n.º 1
0
def runDE(baselineMin, baselineMax, modelObj, deRunCountParam, runCountParam, constraintFileNameParam):
  #import IO_Utility 
  #print "### Executing D.E. "
  out_normscore, out_decVec = de(runCountParam, constraintFileNameParam, modelObj,baselineMin,baselineMax,deRunCountParam)    
  tempObj = modelObj(constraintFileNameParam, runCountParam)  
  objByDecVec  = tempObj.getobjfromdecision(out_decVec)
  
  print "Normalized Score ...", out_normscore
  print "The objective scores after all minimization ....UnAc={}, UnPass={}".format(objByDecVec[0], objByDecVec[1])
Ejemplo n.º 2
0
def runDE(baselineMin, baselineMax, modelObj, deRunCountParam, runCountParam,
          constraintFileNameParam):
    #import IO_Utility
    #print "### Executing D.E. "
    out_normscore, out_decVec = de(runCountParam, constraintFileNameParam,
                                   modelObj, baselineMin, baselineMax,
                                   deRunCountParam)
    tempObj = modelObj(constraintFileNameParam, runCountParam)
    objByDecVec = tempObj.getobjfromdecision(out_decVec)

    print "Normalized Score ...", out_normscore
    print "The objective scores after all minimization ....UnAc={}, UnPass={}".format(
        objByDecVec[0], objByDecVec[1])
Ejemplo n.º 3
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 def __init__(self, num):
     self.id = num
     self.score = 0
     self.de = de()
     self.nom = ""
     self.init_nom()
Ejemplo n.º 4
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 def tunetest(predict):
   de()
   The.option.tuning = False
   predicttest(predict,"Tuned_WHERE")
Ejemplo n.º 5
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 def tunetest(predict):
     de()
     The.option.tuning = False
     predicttest(predict, "Tuned_WHERE")
Ejemplo n.º 6
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 def test_res(self):
     for i in range(100):
         lance = de().lancer()
         self.assertTrue(lance >= 1)
         self.assertTrue(lance <= 6)
Ejemplo n.º 7
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 def test_de(self):
     self.assertTrue(len(de().model) == 6)