public void MeasureMaskOptimization(string line)
{
var trainProblem = TrainResponse.Parse(line);
byte[] p = Parser.ParseFunction(trainProblem.challenge);
var ans = p.Printable();
var operations = trainProblem.operators;
var random = new Random();
var answers = Enumerable.Range(0, 100).Select(i => random.NextUInt64()).Select(p.Eval).ToArray();
var mask = new Mask(answers);
Console.WriteLine(" answers mask: {0}", mask);
Console.WriteLine("challenge program mask: {0}", p.GetMask());
Console.WriteLine("answer: {0}", ans);
var sw = Stopwatch.StartNew();
Assert.IsTrue(new BinaryBruteForcer(mask, 3, 1, operations).Enumerate(trainProblem.size - 1)
.Select(f => f.Printable())
.Any(found => found == ans));
Console.WriteLine(sw.Elapsed);
sw.Restart();
Assert.IsTrue(
new BinaryBruteForcer(operations).Enumerate(trainProblem.size - 1)
.Any(found => found.Printable() == ans));
Console.WriteLine(sw.Elapsed);
}
public void MeasureMaskOptimization(string line)
{
var trainProblem = TrainResponse.Parse(line);
Console.WriteLine(trainProblem.id);
var prog = trainProblem.challenge;
var operations = trainProblem.operators;
var maxSize = trainProblem.size - 1;
var minSize = maxSize;
TrySolve(prog, operations, minSize, maxSize, false);
// CheckResult(ans, new SmartGenerator(inputs, answers, operations).Enumerate(trainProblem.size - 1));
}