Ejemplo n.º 1
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    if not DEBUG:
        failure, success = sample(model, lb[0], ub[0])
        pof = float(failure) / float(failure + success)
        print("Exact PoF: %s" % pof)

        for i in range(len(lb)):
            print("\n")
            print(" lower bounds: %s" % lb[i])
            print(" upper bounds: %s" % ub[i])
        for solved in params0[0]:
            print("solved: %s" % solved)
        print("subdiameters (squared): %s" % subdiams0[0])
        print("diameter (squared): %s" % diam0[0])
        print(" probability mass: %s" % probmass0[0])
        expectation = expectation_value(model, lower_bounds, upper_bounds)
        print(" expectation: %s" % expectation)
        mean_value = mean(expectation, cuboid_volume)
        print(" mean value: %s" % mean_value)
        mcdiarmid = mcdiarmid_bound(mean_value, sqrt(diam0[0]))
        print("McDiarmid bound: %s" % mcdiarmid)

    # determine 'best' cuts to cuboid
    for cut in range(max_number_of_cuts):
        print("\n..... cut #%s ....." % (cut + 1))
        lb, ub = make_cut(lb, ub, RVstart, RVend, cuboid_volume)

    if DEBUG:
        print("\n..... cut #%s ....." % (max_number_of_cuts + 1))
    # get diameter for each subcuboid
    params, subdiams, diam, probmass = test_cuboids(lb,ub,RVstart,RVend,\
Ejemplo n.º 2
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    if not DEBUG:
        failure, success = sample(model, lb[0], ub[0])
        pof = float(failure) / float(failure + success)
        print "Exact PoF: %s" % pof

        for i in range(len(lb)):
            print "\n"
            print " lower bounds: %s" % lb[i]
            print " upper bounds: %s" % ub[i]
        for solved in params0[0]:
            print "solved: %s" % solved
        print "subdiameters (squared): %s" % subdiams0[0]
        print "diameter (squared): %s" % diam0[0]
        print " probability mass: %s" % probmass0[0]
        expectation = expectation_value(model, lower_bounds, upper_bounds)
        print " expectation: %s" % expectation
        mean_value = mean(expectation, cuboid_volume)
        print " mean value: %s" % mean_value
        mcdiarmid = mcdiarmid_bound(mean_value, sqrt(diam0[0]))
        print "McDiarmid bound: %s" % mcdiarmid

    # determine 'best' cuts to cuboid
    for cut in range(max_number_of_cuts):
        print "\n..... cut #%s ....." % (cut + 1)
        lb, ub = make_cut(lb, ub, RVstart, RVend, cuboid_volume)

    if DEBUG:
        print "\n..... cut #%s ....." % (max_number_of_cuts + 1)
    # get diameter for each subcuboid
    params, subdiams, diam, probmass = test_cuboids(lb, ub, RVstart, RVend, cuboid_volume)