/// <summary>
/// Saves the specified simulation data to a file
/// </summary>
/// <returns>The filename of the save file without the extensions</returns>
public static string SaveSimulation(SimulationData data)
{
string contents = data.Encode().ToString(Formatting.None);
string creatureName = data.CreatureDesign.Name;
string dateString = System.DateTime.Now.ToString("MMM dd, yyyy");
string objectiveString = ObjectiveUtil.StringRepresentation(data.Settings.Objective);
int generation = data.BestCreatures.Count + 1;
string filename = string.Format("{0} - {1} - {2} - Gen {3}", creatureName, objectiveString, dateString, generation);
// Save without overwriting existing saves
return(SaveSimulationFile(filename, contents, false));
}
private static SimulationSettings DecodeV1(string encoded)
{
var parts = encoded.Split('#');
var settings = Default;
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.Objective = ObjectiveUtil.ObjectiveFromString(parts[6]);
settings.MutationRate = Math.Min(Math.Max(((float)int.Parse(parts[7])) / 100f, 0), 1);
return(settings);
}
/// <summary>
/// Loads the simulation from save file of format version 1.
/// </summary>
/// <param name="name">The name of the simualtion save.</param>
/// <param name="content">The Content of the save file.</param>
public static SimulationData ParseSimulationData(string name, string content, LegacySimulationLoader.SplitOptions splitOptions)
{
var creatureName = name.Split('-')[0].Replace(" ", "");
if (string.IsNullOrEmpty(creatureName))
{
creatureName = "Unnamed";
}
var components = content.Split(splitOptions.SPLIT_ARRAY, System.StringSplitOptions.None);
// extract the save data from the file contents.
var objectiveType = ObjectiveUtil.ObjectiveForNumber(int.Parse(components[0].Replace(Environment.NewLine, "")));
var timePerGen = int.Parse(components[1].Replace(Environment.NewLine, ""));
var creatureData = components[2];
var creatureDesign = CreatureSerializer.ParseCreatureDesign(creatureData, creatureName);
var bestChromosomesData = new List <string>(components[3].Split(splitOptions.NEWLINE_SPLIT, StringSplitOptions.None));
var bestChromosomes = new List <ChromosomeData>();
foreach (var chromosomeData in bestChromosomesData)
{
if (chromosomeData != "")
{
// Parse the chromosome data
var parts = chromosomeData.Split(':');
var chromosome = parts[0];
var fitness = float.Parse(parts[1]);
var chromosomeStats = new ChromosomeStats(chromosome, new CreatureStats());
chromosomeStats.stats.fitness = fitness;
var data = new StringChromosomeData(chromosome, chromosomeStats.stats);
bestChromosomes.Add(data.ToChromosomeData());
}
}
var chromosomeComponents = components[4].Split(splitOptions.NEWLINE_SPLIT, StringSplitOptions.None);
var currentChromosomes = new List <float[]>();
foreach (var chromosome in chromosomeComponents)
{
if (chromosome != "")
{
currentChromosomes.Add(ConversionUtils.BinaryStringToFloatArray(chromosome));
}
}
var currentGeneration = bestChromosomes.Count + 1;
var settings = new SimulationSettings();
settings.Objective = objectiveType;
settings.SimulationTime = timePerGen;
settings.PopulationSize = currentChromosomes.Count;
var networkSettings = NeuralNetworkSettings.Default;
var sceneDescription = DefaultSimulationScenes.DefaultSceneForObjective(settings.Objective);
sceneDescription.PhysicsConfiguration = ScenePhysicsConfiguration.Legacy;
int lastSimulatedV2Generation = bestChromosomes.Count;
return(new SimulationData(
settings, networkSettings, creatureDesign,
sceneDescription, bestChromosomes,
currentChromosomes.ToArray(),
lastSimulatedV2Generation
));
}
