public void ParameterWithDefaultValue()
{
ParameterWriter writer = new ParameterWriter();
writer.Write(new ParameterTemplate(Code.Type("type"), "parameter", Code.String("default")), this.output);
Assert.AreEqual("type parameter = \"default\"", this.output.ToString());
}
public void ParameterWithAttribute()
{
ParameterWriter writer = new ParameterWriter();
writer.Write(new ParameterTemplate(Code.Type("Type"), "parameter").WithAttribute("Attr"), this.output);
Assert.AreEqual("[Attr] Type parameter", this.output.ToString());
}
private IDictionary <string, object> AsRawMap(MapValue mapValue, ParameterWriter writer)
{
Dictionary <string, object> map = new Dictionary <string, object>();
mapValue.Foreach((s, value) =>
{
value.writeTo(writer);
map[s] = writer.Value();
});
return(map);
}
/// <summary>
/// Runs the optimiser
/// </summary>
public override void Optimize()
{
var chromosomeTypes = new StrategyChromosomeTypeFactory(Strategy).GetChromosomeTypes();
var optimiserParameters = GetParameters(chromosomeTypes);
_startDateTime = DateTime.Now;
_iterationNumber = 0;
try
{
using (
_parameterWriter =
new ParameterWriter(Strategy.Instrument.FullName, optimiserParameters.ExportGenes))
{
Strategy.Print(
string.Format(
"{0}: Start time: {1} Parameters: {2} Population {3} MaximumGenerations: {4} Log results: {5} Screen threshold: {6}",
Strategy.Instrument.FullName, _startDateTime, Strategy.Parameters.Count,
optimiserParameters.PopulationSize, optimiserParameters.MaximumGenerations,
optimiserParameters.ExportGenes, optimiserParameters.ScreeningThreshold));
_parameterWriter.WriteParameterNames(chromosomeTypes);
var optimiser = new Optimiser(new FitnessEvaluator(Strategy, chromosomeTypes));
optimiser.IterationComplete += HandleIterationComplete;
optimiser.GenerationComplete += HandleGenerationComplete;
optimiser.ReportNoProgress += HandleNoProgress;
var progressForm = new ProgressForm();
progressForm.Show(optimiser);
optimiser.Run(chromosomeTypes, optimiserParameters);
var endDateTime = DateTime.Now;
Strategy.Print(Strategy.Instrument.FullName + ": completed: " + endDateTime + ", total iterations: " +
(_iterationNumber + 1) + ", total time (minutes): " +
(endDateTime - _startDateTime).TotalMinutes.ToString("N1") + ", best result:");
if (_bestResult != null)
{
Strategy.Print(_bestResult.Gene.ToString(chromosomeTypes));
}
}
}
finally
{
_parametersForm.Close();
}
}
public PointAnonymousInnerClass(ParameterWriter outerInstance, CoordinateReferenceSystem crs, double[] coordinate)
{
this.outerInstance = outerInstance;
this._crs = crs;
this._coordinate = coordinate;
}
