@Test
public void testSolving() {
GridModel grid = new GridModel(4);
GridFiller filler = new GridFiller(grid);
filler.fillRandom(grid.getSize() * 3 / 2);
grid.shuffle();
ClusterManager cluster = new ClusterManager(new NullLog());
GridModel solutionGrid = new GridModel();
AStarSolverMkI solver = new AStarSolverMkI(grid, solutionGrid, cluster);
solver.run();
assertTrue(solutionGrid.isComplete());
}
private static void computeStats(
List<String> solvers, List<String> paths, int samples, int sizeMin, int sizeMax)
throws InterruptedException, ExecutionException {
// Grid cpuGrid = GridFactory.start();
for (int gridsize = sizeMin; gridsize <= sizeMax; gridsize++) {
int patterns = (int) (gridsize * 1.5);
Collector reference = null;
for (String solverName : solvers) {
List<String> pathsQueue = new ArrayList<String>();
if (SolverFactory.isSolverPathSensitive(solverName)) {
pathsQueue.addAll(paths);
} else {
pathsQueue.add(null);
}
for (String pathName : pathsQueue) {
String collectorName = computeCollectorName(solverName, pathName, gridsize, patterns);
Collector collector = new Collector(collectorName, reference);
if (reference == null) {
reference = collector;
}
// ExecutorService executor =
// cpuGrid.newGridExecutorService();
ExecutorService executor =
Executors.newFixedThreadPool(Runtime.getRuntime().availableProcessors());
Set<Future<Collector>> collectors = new LinkedHashSet<Future<Collector>>();
for (int sample = 0; sample < samples; sample++) {
GridModel grid = new GridModel(gridsize);
GridFiller filler = new GridFiller(grid);
filler.fillRandom(patterns);
grid.shuffle();
SolverMeter solverMeter = new SolverMeter(solverName, pathName, grid);
collectors.add(executor.submit(solverMeter));
}
for (Future<Collector> futureCollector : collectors) {
collector.recordExecutions(futureCollector.get());
}
executor.shutdown();
while (!executor.isTerminated()) {
try {
executor.awaitTermination(10, TimeUnit.SECONDS);
} catch (InterruptedException e) {
// Do nothing, keep looping
}
}
collector.displayResults();
}
}
System.out.println();
}
}