private static void LogBestParameters(
Dictionary <string, IAllele> bestParameters,
BbobRunnerConfiguration bbobConfig,
string pathToInstanceFolder)
{
var bestParamsConsole = string.Join(
" ",
GenericBbobEntryPoint <TLearnerModel, TPredictorModel, TSamplingStrategy> .FormatParametersAsEnumerable(bestParameters));
// evaluate the best found config on all instances. print commands to execute python + compute average performance
var pythonCommand = string.Concat(
bbobConfig.PythonBin,
" ",
bbobConfig.PathToExecutable,
$" {bbobConfig.FunctionId} {"{0}"} ",
bestParamsConsole);
var instances = BbobUtils.CreateInstanceList(pathToInstanceFolder);
Thread.Sleep(500);
LoggingHelper.WriteLine(VerbosityLevel.Info, "################################################");
LoggingHelper.WriteLine(VerbosityLevel.Info, "Commands to evaluate parameters:");
var instanceResults = new List <double>(instances.Count);
foreach (var instance in instances)
{
var bbobRunner = new BbobRunner(bbobConfig.FunctionId, bestParameters, bbobConfig.PythonBin, bbobConfig.PathToExecutable);
var runTask = bbobRunner.Run(instance, new CancellationToken(false));
var currentResult = runTask.Result;
// read instance id
var instanceId = -1;
using (var reader = File.OpenText(instance.Path))
{
instanceId = int.Parse(reader.ReadLine());
}
var finalCommand = string.Format(pythonCommand, instanceId);
LoggingHelper.WriteLine(VerbosityLevel.Info, finalCommand, false);
LoggingHelper.WriteLine(VerbosityLevel.Info, FormattableString.Invariant($"result={currentResult.Value}"), false);
instanceResults.Add(currentResult.Value);
}
LoggingHelper.WriteLine(VerbosityLevel.Info, "################################################");
var averageResult = instanceResults.Any() ? instanceResults.Average() : double.NaN;
if (!File.Exists("averageResults.csv"))
{
var header = string.Join(";", Enumerable.Range(0, instances.Count).Select(i => $"instance_{i}")) + ";average\r\n";
File.WriteAllText("averageResults.csv", header);
}
var averageInvariant = string.Format(CultureInfo.InvariantCulture, "{0}\r\n", averageResult);
var resultLine = string.Join(";", instanceResults.Select(r => string.Format(CultureInfo.InvariantCulture, "{0}", r)));
File.AppendAllText("averageResults.csv", string.Concat(resultLine, ";", averageInvariant));
LoggingHelper.WriteLine(VerbosityLevel.Info, FormattableString.Invariant($"Average Result={averageResult}"));
}
/// <summary>
/// Creates a cancellable task that runs the algorithm on the given instance.
/// </summary>
/// <param name="instance">Instance to run on.</param>
/// <param name="cancellationToken">Token that should regurlarly be checked for cancellation.
/// If cancellation is detected, the task has to be stopped.</param>
/// <returns>
/// A task that returns everything important about the run on completion.
/// </returns>
public Task <ContinuousResult> Run(InstanceFile instance, CancellationToken cancellationToken)
{
// Define process to start BBOB.
var processInfo = this.BuildProcessStartInfo(instance);
return(Task.Run(
function: () =>
{
// Start process.
var timer = new Stopwatch();
timer.Start();
using var process = Process.Start(processInfo);
// Process needs to be canceled if cancellation token is canceled.
var processRegistration = cancellationToken.Register(
() => ProcessUtils.CancelProcess(process));
// Wait until end of process.
process.WaitForExit();
// If the process was cancelled, clean up resources and escalate it up.
if (cancellationToken.IsCancellationRequested)
{
this.CleanUp(process, processRegistration);
cancellationToken.ThrowIfCancellationRequested();
}
// If the process was not cancelled, first check the console output for result.
var output = process.StandardOutput.ReadToEnd();
timer.Stop();
var functionValue = BbobRunner.ExtractFunctionValue(output);
// Then clean up resources.
this.CleanUp(process, processRegistration);
// Finally return the result.
return new ContinuousResult(functionValue, timer.Elapsed);
},
cancellationToken: cancellationToken));
}
