public void project() {
        srcPotentialIndex = 0;
        trgPotentialIndex = 0;
        recurse(0, 0);
        BayesAbsorption.normalize(trgPotentials);

    }
@Test
    public void testProjection1() {
        // Projects from node1 into sep. A and B are in node1. A and B are in the sep.
        // this is a straight forward projection
        BayesVariable a = new BayesVariable<String>( "A", 0, new String[] {"A1", "A2"}, null);
        BayesVariable b = new BayesVariable<String>( "B", 1, new String[] {"B1", "B2"}, null);

        Graph<BayesVariable> graph = new BayesNetwork();
        GraphNode x0 = addNode(graph);
        GraphNode x1 = addNode(graph);

        x0.setContent( a );
        x1.setContent( b );


        JunctionTreeClique node1 = new JunctionTreeClique(0, graph, bitSet("0011") );
        JunctionTreeClique node2 = new JunctionTreeClique(1, graph, bitSet("0011")  );
        SeparatorState sep = new JunctionTreeSeparator(0, node1, node2, bitSet("0011"), graph).createState();

        double v = 0.1;
        for ( int i = 0; i < node1.getPotentials().length; i++ ) {
            node1.getPotentials()[i] = v;
            v += + 0.1;
        }

        BayesVariable[] vars = new BayesVariable[] {a, b};

        BayesVariable[] sepVars = new BayesVariable[] { a, b };
        int[] sepVarPos = PotentialMultiplier.createSubsetVarPos(vars, sepVars);

        int sepVarNumberOfStates = PotentialMultiplier.createNumberOfStates(sepVars);
        int[] sepVarMultipliers = PotentialMultiplier.createIndexMultipliers(sepVars, sepVarNumberOfStates);

        double[] projectedSepPotentials = new double[ sep.getPotentials().length];
        BayesProjection p = new BayesProjection(vars, node1.getPotentials(), sepVarPos, sepVarMultipliers, projectedSepPotentials);
        p.project();

        assertArray(new double[]{0.1, 0.2, 0.3, 0.4}, scaleDouble(3, projectedSepPotentials));
    }