/** Create a simple perfect cluster. Do a crude test based on number of edge histogram */
@Test
public void process_simple() {
SquaresIntoCrossClusters alg = new SquaresIntoCrossClusters(0.05, -1);
List<Polygon2D_F64> squares = new ArrayList<Polygon2D_F64>();
squares.add(createSquare(7, 8));
squares.add(createSquare(9, 8));
squares.add(createSquare(8, 9));
squares.add(createSquare(7, 10));
squares.add(createSquare(9, 10));
List<List<SquareNode>> clusters = alg.process(squares);
assertEquals(1, clusters.size());
List<SquareNode> cluster = clusters.get(0);
int connections[] = new int[5];
for (SquareNode n : cluster) {
connections[n.getNumberOfConnections()]++;
}
assertEquals(0, connections[0]);
assertEquals(4, connections[1]);
assertEquals(0, connections[2]);
assertEquals(0, connections[3]);
assertEquals(1, connections[4]);
}
@Test
public void getCornerIndex() {
SquareNode node = new SquareNode();
node.corners = new Polygon2D_F64(4);
node.corners.get(0).set(5, 6);
node.corners.get(1).set(6, 7);
node.corners.get(2).set(7, 8);
node.corners.get(3).set(8, 9);
SquaresIntoCrossClusters alg = new SquaresIntoCrossClusters(5, -1);
assertEquals(0, alg.getCornerIndex(node, 5, 6));
assertEquals(1, alg.getCornerIndex(node, 6, 7));
assertEquals(2, alg.getCornerIndex(node, 7, 8));
assertEquals(3, alg.getCornerIndex(node, 8, 9));
}
@Test
public void candidateIsMuchCloser() {
SquareNode node0 = new SquareNode();
SquareNode node1 = new SquareNode();
node0.largestSide = 2;
node1.largestSide = 1;
SquaresIntoCrossClusters alg = new SquaresIntoCrossClusters(5, -1);
// test obvious cases
assertTrue(alg.candidateIsMuchCloser(node0, node1, 0));
assertFalse(alg.candidateIsMuchCloser(node0, node1, 20));
double frac = alg.tooFarFraction;
node1.corners = createSquare(12, 10);
// the closest neighboring node should be 1 away
assertTrue(alg.candidateIsMuchCloser(node0, node1, Math.pow(2 * frac - 1e-6, 2)));
assertFalse(alg.candidateIsMuchCloser(node0, node1, Math.pow(2 * frac + 1e-6, 2)));
}
