/// <summary>
/// Loads the simulation from save file with the format version 2
/// </summary>
/// <param name="name">The name of the simulation 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);
var simulationSettings = SimulationSettings.Decode(components[1]);
var networkSettings = NeuralNetworkSettings.Decode(components[2]);
var creatureData = components[3];
var creatureDesign = CreatureSerializer.ParseCreatureDesign(creatureData);
creatureDesign.Name = creatureName;
var bestChromosomesData = new List <string>(components[4].Split(splitOptions.NEWLINE_SPLIT, StringSplitOptions.None));
var bestChromosomes = new List <ChromosomeData>();
foreach (var chromosomeData in bestChromosomesData)
{
if (chromosomeData != "")
{
var stats = ChromosomeStats.FromString(chromosomeData);
var data = new StringChromosomeData(stats.chromosome, stats.stats);
bestChromosomes.Add(data.ToChromosomeData());
}
}
var chromosomeComponents = components[5].Split(splitOptions.NEWLINE_SPLIT, StringSplitOptions.None);
var currentChromosomes = new List <float[]>();
foreach (var chromosome in chromosomeComponents)
{
if (chromosome != "")
{
currentChromosomes.Add(ConversionUtils.BinaryStringToFloatArray(chromosome));
}
}
var sceneDescription = DefaultSimulationScenes.DefaultSceneForObjective(simulationSettings.Objective);
sceneDescription.PhysicsConfiguration = ScenePhysicsConfiguration.Legacy;
return(new SimulationData(
simulationSettings, networkSettings, creatureDesign,
sceneDescription, bestChromosomes, currentChromosomes.ToArray(),
bestChromosomes.Count
));
}
public ChromosomeData ToChromosomeData()
{
return(new ChromosomeData(ConversionUtils.BinaryStringToFloatArray(Chromosome), Stats));
}
/// <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
));
}