Package org.drools.benchmark.model

Examples of org.drools.benchmark.model.A


        int aLimit = objectNr * modifications;

        as = new A[objectNr];
        for (int i = 0; i < objectNr; i++) {
            as[i] = new A(random.nextInt(aLimit));
        }

        bs = new B[objectNr];
        for (int i = 0; i < objectNr; i++) {
            int randomInt = random.nextInt(aLimit) + (aLimit * 2);
 
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        for (int i = 0; i < objectNr; i++) {
            int randomInt = random.nextInt(aLimit);
            if (i % 2 == 1) {
                randomInt += aLimit * 3;
            }
            as[i] = new A(randomInt, randomInt+modifications);
        }

        bs = new B[objectNr];
        for (int i = 0; i < objectNr; i++) {
            int randomInt = random.nextInt(aLimit) + (aLimit * 2);
 
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        KnowledgeBase kbase = createKnowledgeBase(createKnowledgeBuilder(drlFile));
        ksession = kbase.newStatefulKnowledgeSession();
    }

    public void execute(int repNr) {
        ksession.insert(new A(Integer.MAX_VALUE, Integer.MAX_VALUE, true));

        for (int i = 0; i < objectNr; i++) {
            ksession.insert(new B(i, 0, i == 0));
        }
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        int aLimit = objectNr * modifications;

        as = new A[objectNr];
        for (int i = 0; i < objectNr; i++) {
            int randomInt = random.nextInt(aLimit);
            as[i] = new A(randomInt, randomInt+modifications);
        }

        bs = new B[objectNr];
        for (int i = 0; i < objectNr; i++) {
            int randomInt = random.nextInt(aLimit) + (aLimit * 2);
 
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        ksession = kbase.newStatefulKnowledgeSession();

        as = new A[aNr];
        for (int i = 0; i < aNr; i++) {
            int randomInt = random.nextInt();
            as[i] = new A(randomInt, randomInt+modifications);
        }
    }
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        for (int i = 0; i < aNr; i++) {
            int randomInt = random.nextInt(aLimit);
            if (i % 2 == 1) {
                randomInt += aLimit * 3;
            }
            as[i] = new A(randomInt, randomInt+modifications);
        }
    }
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        KnowledgeBase kbase = createKnowledgeBase(createKnowledgeBuilder(drlFile));
        ksession = kbase.newStatefulKnowledgeSession();
    }

    public void execute(int repNr) {
        ksession.insert(new A(Integer.MAX_VALUE, Integer.MAX_VALUE, true));

        for (int i = 0; i < objectNr; i++) {
            ksession.insert(new B(i, 0, i == 0));
        }
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        int aLimit = objectNr * modifications;

        as = new A[objectNr];
        for (int i = 0; i < objectNr; i++) {
            int randomInt = random.nextInt(aLimit);
            as[i] = new A(randomInt, randomInt+modifications);
        }

        bs = new B[objectNr];
        for (int i = 0; i < objectNr; i++) {
            int randomInt = random.nextInt(aLimit) + (aLimit * 2);
 
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        ksession = kbase.newStatefulKnowledgeSession();

        as = new A[aNr];
        for (int i = 0; i < aNr; i++) {
            int randomInt = random.nextInt();
            as[i] = new A(randomInt, randomInt+modifications);
        }
    }
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        for (int i = 0; i < aNr; i++) {
            int randomInt = random.nextInt(aLimit);
            if (i % 2 == 1) {
                randomInt += aLimit * 3;
            }
            as[i] = new A(randomInt, randomInt+modifications);
        }
    }
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