public override void _Ready()
{
logLabel = GetNode("CanvasLayer/RTLLog") as RTLLog;
logLabel.LogLine("Prepping configs...");
foreach (var populationSize in populationSizes)
{
foreach (var mutationRate in mutationRates)
{
foreach (var elitism in elitisms)
{
foreach (var maxIteration in maxIterations)
{
GD.Print($"{populationSize}, {mutationRate}, {maxIteration}");
var config = new TestConfiguration(
populationSize, // int popupationSize,
mutationRate, // float mutationRate,
elitism, // float elitism,
maxIteration, // int maxIterations,
100, // int genChunkSize,
5 // int refChunkSize
);
configurations.Add(config);
}
}
}
}
logLabel.LogLine("Configs ready.");
}
void runTests()
{
foreach (var configuration in configurations)
{
configuration.StartTest(logLabel);
}
logLabel.LogLine("Done!");
}
public void StartTest(RTLLog log = null)
{
File testData = new File();
string fileName = "test.csv";
if (testData.FileExists(fileName))
{
testData.Open(fileName, File.ModeFlags.ReadWrite);
testData.GetCsvLine();
while (!testData.EofReached())
{
Int32.TryParse(testData.GetCsvLine()[0], out int tId);
if (this.TestId <= tId)
{
this.TestId++;
}
}
}
else
{
testData.Open(fileName, File.ModeFlags.Write);
testData.StoreCsvLine(GenerationResult.GetHeaderStringArray());
}
if (log != null)
{
log.LogLine($"Initiating test id {this.TestId} with config: popSize {this.PopulationSize}, mutRate {MutationRate}, elitism {Elitism}, maxIterations {MaxIterations}.");
}
// First generation of this test batch
// Start timer to track ellapsed time per generation
var watch = System.Diagnostics.Stopwatch.StartNew();
double duration = 0;
// the code that you want to measure comes here
int genNumber = 0;
List <MapIndividual> population = Generator.EvolveTestChunkOnRight();
MapIndividual bestIndividual = population[population.Count - 1];
GenerationResult currentGenerationResult = new GenerationResult {
TestId = this.TestId,
BestFitness = bestIndividual.Fitness,
GenerationNumber = genNumber,
FivePercentBestFitnessAvg = getFivePercentAvg(population),
IsBestPlayable = bestIndividual.IsPlayable,
FitnessAverage = getFitnessAverage(population),
FitnessMedian = getFitnessMedian(population),
PopulationSize = this.PopulationSize,
GenChunkSize = this.GenChunkSize,
MutationRate = this.MutationRate,
Elitism = this.Elitism,
};
watch.Stop();
currentGenerationResult.ExecutionTimeMs = watch.ElapsedMilliseconds;
testData.StoreCsvLine(currentGenerationResult.GetCsvStringArray());
for (genNumber = genNumber + 1; genNumber <= MaxIterations; genNumber++)
{
watch = System.Diagnostics.Stopwatch.StartNew();
population = Generator.EvolveTestChunkOnRight(population);
bestIndividual = population[population.Count - 1];
currentGenerationResult = new GenerationResult {
TestId = this.TestId,
BestFitness = bestIndividual.Fitness,
GenerationNumber = genNumber,
FivePercentBestFitnessAvg = getFivePercentAvg(population),
IsBestPlayable = bestIndividual.IsPlayable,
FitnessAverage = getFitnessAverage(population),
FitnessMedian = getFitnessMedian(population),
PopulationSize = this.PopulationSize,
GenChunkSize = this.GenChunkSize,
MutationRate = this.MutationRate,
Elitism = this.Elitism,
};
watch.Stop();
currentGenerationResult.ExecutionTimeMs = watch.ElapsedMilliseconds;
duration += watch.ElapsedMilliseconds;
testData.StoreCsvLine(currentGenerationResult.GetCsvStringArray());
}
// Close file at the end of this test
testData.Close();
TimeSpan t = TimeSpan.FromMilliseconds(duration);
string durationString = string.Format("{0:D2}h:{1:D2}m:{2:D2}s:{3:D3}ms",
t.Hours, t.Minutes, t.Seconds, t.Milliseconds);
if (log != null)
{
log.LogLine($"Done with test {this.TestId} in {durationString}!");
}
}