public void TaskChanged()
{
var settings = LoadEvolutionSettings();
settings.task = EvolutionTaskUtil.TaskFromString(taskDropdown.captionText.text);
SaveEvolutionSettings(settings);
}
/// <summary>
/// Loads the simulation from save file of format version 1.
/// </summary>
/// <param name="filename">The Filename has to end on .txt .</param>
/// <param name="content">The Content of the save file.</param>
private static void LoadSimulationFromSaveFileV1(string filename, string content, SplitOptions splitOptions, CreatureBuilder creatureBuilder, Evolution evolution)
{
var creatureName = filename.Split('-')[0].Replace(" ", "");
var components = content.Split(splitOptions.SPLIT_ARRAY, System.StringSplitOptions.None);
// extract the save data from the file contents.
var taskType = EvolutionTaskUtil.TaskForNumber(int.Parse(components[0].Replace(Environment.NewLine, "")));
var timePerGen = int.Parse(components[1].Replace(Environment.NewLine, ""));
var creatureData = components[2];
CreatureSaver.LoadCreatureFromContents(creatureData, creatureBuilder);
var bestChromosomesData = new List <string>(components[3].Split(splitOptions.NEWLINE_SPLIT, StringSplitOptions.None));
var bestChromosomes = new List <ChromosomeStats>();
foreach (var chromosomeData in bestChromosomesData)
{
if (chromosomeData != "")
{
var chromosomeInfo = ChromosomeInfo.FromString(chromosomeData);
var chromosomeStats = new ChromosomeStats(chromosomeInfo.chromosome, new CreatureStats());
chromosomeStats.stats.fitness = chromosomeInfo.fitness;
bestChromosomes.Add(chromosomeStats);
}
}
var chromosomeComponents = components[4].Split(splitOptions.NEWLINE_SPLIT, StringSplitOptions.None);
var currentChromosomes = new List <string>();
foreach (var chromosome in chromosomeComponents)
{
if (chromosome != "")
{
currentChromosomes.Add(chromosome);
}
}
var currentGeneration = bestChromosomes.Count + 1;
var settings = new EvolutionSettings();
settings.task = taskType;
settings.simulationTime = timePerGen;
settings.populationSize = currentChromosomes.Count;
var networkSettings = new NeuralNetworkSettings();
evolution.Settings = settings;
creatureBuilder.ContinueEvolution(evolution, () => {
CreatureSaver.SaveCurrentCreatureName(creatureName);
evolution.ContinueEvolution(currentGeneration, settings, networkSettings, bestChromosomes, currentChromosomes);
});
}
/// <summary>
/// Returns the chosen task based on the value of the taskDropDown;
/// </summary>
public EvolutionTask GetTask()
{
var taskString = taskDropdown.captionText.text.ToUpper();
var task = EvolutionTaskUtil.TaskFromString(taskString);
var settings = LoadEvolutionSettings();
settings.task = task;
SaveEvolutionSettings(settings);
return(task);
}
public static EvolutionSettings Decode(string encoded)
{
var parts = encoded.Split('#');
var settings = new EvolutionSettings();
settings.keepBestCreatures = bool.Parse(parts[1]);
settings.simulationTime = int.Parse(parts[2]);
settings.populationSize = int.Parse(parts[3]);
settings.simulateInBatches = bool.Parse(parts[4]);
settings.batchSize = int.Parse(parts[5]);
settings.task = EvolutionTaskUtil.TaskFromString(parts[6]);
settings.mutationRate = int.Parse(parts[7]);
return(settings);
}
