/// <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>
/// Continues the evolution from the save state.
///
/// This function call has to replace calls to StartEvolution (and therefore also SetupEvolution) when a simulation would be started
/// from the beginning.
///
/// </summary>
/// <param name="generationNum">The generation number that the simulation should continue at from.</param>
/// <param name="timePerGen">The time for each generation simulation.</param>
/// <param name="bestChromosomes">The list of best chromosomes of the already simluated generations.</param>
/// <param name="currentChromosomes">A list of chromosomes of creatures of the last (current) generation.</param>
//public void ContinueEvolution(int generationNum, int timePerGen, List<ChromosomeInfo> bestChromosomes, List<string> currentChromosomes) {
public void ContinueEvolution(int generationNum, EvolutionSettings evolutionSettings, NeuralNetworkSettings networkSettings, List <ChromosomeStats> bestChromosomes, List <string> currentChromosomes)
{
this.settings = evolutionSettings;
this.brainSettings = networkSettings;
viewController = GameObject.Find("ViewController").GetComponent <ViewController>();
Assert.IsNotNull(viewController);
this.currentGenerationNumber = generationNum;
this.currentChromosomes = currentChromosomes.ToArray();
creature.RemoveMuscleColliders();
creature.Alive = false;
running = true;
viewController.UpdateGeneration(generationNum);
autoSaver = new AutoSaver();
// Setup Evolution call
CalculateDropHeight();
BCController = GameObject.Find("Best Creature Controller").GetComponent <BestCreaturesController>();
BCController.dropHeight = dropHeight;
BCController.Creature = creature;
BCController.SetBestChromosomes(bestChromosomes);
BCController.ShowBCThumbScreen();
BCController.RunBestCreatures(generationNum - 1);
currentGeneration = CreateGeneration();
// Batch simulation
currentlySimulatingBatch = 1;
simulateInBatchesCached = settings.simulateInBatches;
batchSizeCached = settings.simulateInBatches ? settings.batchSize : settings.populationSize;
var currentBatchSize = Mathf.Min(batchSizeCached, settings.populationSize - ((currentlySimulatingBatch - 1) * batchSizeCached));
currentCreatureBatch = new Creature[currentBatchSize];
Array.Copy(currentGeneration, 0, currentCreatureBatch, 0, currentBatchSize);
creature.gameObject.SetActive(false);
SimulateGeneration();
var cameraFollow = Camera.main.GetComponent <CameraFollowScript>();
cameraFollow.toFollow = currentGeneration[0];
cameraFollow.currentlyWatchingIndex = 0;
RefreshVisibleCreatures();
}
/// <summary>
/// Loads the currently stored Evolution settings.
/// </summary>
/// <returns>The evolution settings.</returns>
private EvolutionSettings LoadEvolutionSettings()
{
var settingsString = PlayerPrefs.GetString(EVOLUTION_SETTINGS_KEY, "");
if (settingsString == "")
{
// Default settings
return(new EvolutionSettings());
}
return(EvolutionSettings.Decode(settingsString));
}
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);
}
/// <summary>
/// Loads the simulation from save file with the format version 2
/// </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 LoadSimulationFromSaveFileV2(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);
var evolutionSettings = EvolutionSettings.Decode(components[1]);
var networkSettings = NeuralNetworkSettings.Decode(components[2]);
var creatureData = components[3];
CreatureSaver.LoadCreatureFromContents(creatureData, creatureBuilder);
var bestChromosomesData = new List <string>(components[4].Split(splitOptions.NEWLINE_SPLIT, StringSplitOptions.None));
var bestChromosomes = new List <ChromosomeStats>();
foreach (var chromosomeData in bestChromosomesData)
{
if (chromosomeData != "")
{
bestChromosomes.Add(ChromosomeStats.FromString(chromosomeData));
}
}
var chromosomeComponents = components[5].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;
evolution.Settings = evolutionSettings;
creatureBuilder.ContinueEvolution(evolution, () => {
CreatureSaver.SaveCurrentCreatureName(creatureName);
evolution.ContinueEvolution(currentGeneration, evolutionSettings, networkSettings, bestChromosomes, currentChromosomes);
});
}
private void LoadState(State curState)
{
tableLayoutPanel1.Controls.Remove(_currentControl);
switch (curState)
{
case State.Start:
break;
case State.FeatureModel:
if (_featureModelForm == null)
{
_featureModelForm = new FeatureModel(_model, button2);
}
button2.Visible = true;
_currentControl = _featureModelForm;
label1.Text = @"Feature Model Settings";
button1.Enabled = false;
break;
case State.Features:
button1.Visible = true;
if (_featureForm == null)
{
_featureForm = new Features(_model, button2);
}
_currentControl = _featureForm;
button1.Enabled = true;
label1.Text = @"Feature Distribution";
break;
case State.Interaction:
if (_interacForm == null)
{
_interacForm = new InteractionControl(_model, button2);
}
_currentControl = _interacForm;
label1.Text = @"Interaction Distribution";
break;
case State.Variant:
if (_variantForm == null)
{
_variantForm = new TargetVariant(_model, button2);
}
_currentControl = _variantForm;
label1.Text = @"Variant Distribution";
break;
case State.Generate:
if (_varGen == null)
{
_varGen = new VariantGenerationControl(_model, button2);
}
_currentControl = _varGen;
label1.Text = @"Variant Generation Settings";
break;
case State.EvolutionSettings:
if (_evoSetting == null)
{
_evoSetting = new EvolutionSettings(_model, button2);
}
_currentControl = _evoSetting;
label1.Text = @"Evolutionary Algorithm Settings";
break;
case State.Evolution:
if (_evolution == null)
{
_evolution = new Evolution(_model, button2);
}
_currentControl = _evolution;
label1.Text = @"Evolutionary Algorithm";
button2.Enabled = true;
break;
case State.Results:
if (_solution == null)
{
_solution = new SolutionVis(_model);
}
button2.Enabled = false;
_currentControl = _solution;
label1.Text = @"Solutions";
break;
default:
return;
}
var sml = _currentControl as IStateModelLoader;
sml?.LoadSettings();
_currentControl.Dock = DockStyle.Fill;
_currentControl.Padding = new Padding(10);
tableLayoutPanel1.Controls.Add(_currentControl, 0, 1);
}
/// <summary>
/// Saves the given information about an evolution simulation of a creature in a file, so that
/// it can be loaded and continued at the same generation again.
/// The filename cannot contain dots (.)
/// Throws: IllegalFilenameException
///
/// Returns: The filename of the saved file.
/// </summary>
//public static string WriteSaveFile(string creatureName, Evolution.Task task, int timePerGen, int generationNumber, string creatureSaveData, List<ChromosomeInfo> bestChromosomes, List<string> currentChromosomes) {
public static string WriteSaveFile(string creatureName, EvolutionSettings settings, NeuralNetworkSettings networkSettings, int generationNumber, string creatureSaveData, List <ChromosomeStats> bestChromosomes, List <string> currentChromosomes)
{
var splitOptions = new SplitOptions();
var date = System.DateTime.Now.ToString("yyyy-MM-dd");
//var taskName = Evolution.TaskToString(task);
var filename = string.Format("{0} - {1} - {2} - Gen({3}).txt", creatureName, settings.task, date, generationNumber); // MAYBE IMPORTANT FOR THE FUTURE: Changed from Gen:i to Gen(i)
var stringBuilder = new StringBuilder();
// Add the task type
//stringBuilder.AppendLine(((int)task).ToString());
// Add the version number
stringBuilder.AppendLine(string.Format("v {0}", version.ToString()));
stringBuilder.Append(splitOptions.COMPONENT_SEPARATOR);
// Add the time per generation
//stringBuilder.AppendLine(settings.simulationTime.ToString());
//stringBuilder.Append(COMPONENT_SEPARATOR);
// Add the encoded evolution settings
stringBuilder.AppendLine(settings.Encode());
stringBuilder.Append(splitOptions.COMPONENT_SEPARATOR);
// Add the encoded neural network settings
stringBuilder.AppendLine(networkSettings.Encode());
stringBuilder.Append(splitOptions.COMPONENT_SEPARATOR);
// Add the creature save data
stringBuilder.AppendLine(creatureSaveData);
stringBuilder.Append(splitOptions.COMPONENT_SEPARATOR);
// Add the list of best chromosomes
foreach (var chromosome in bestChromosomes)
{
stringBuilder.AppendLine(chromosome.ToString());
}
stringBuilder.Append(splitOptions.COMPONENT_SEPARATOR);
// Add the list of current chromosomes
foreach (var chromosome in currentChromosomes)
{
stringBuilder.AppendLine(chromosome);
}
stringBuilder.Append(splitOptions.COMPONENT_SEPARATOR);
var path = RESOURCE_PATH; //Path.Combine(RESOURCE_PATH, SAVE_FOLDER);
path = Path.Combine(path, filename);
int counter = 2;
while (System.IO.File.Exists(path))
{
//var pattern = new Regex(@"( \d+)?.txt");
var pattern = @"( \d+)?.txt";
filename = Regex.Replace(filename, pattern, string.Format(" {0}.txt", counter));
path = Path.Combine(RESOURCE_PATH, filename);
//path = path.Replace(".txt", string.Format(" ({0}).txt", counter));
//filename = filename.Replace(".txt", string.Format(" ({0}).txt", counter));
counter++;
}
CreateSaveFolder();
File.WriteAllText(path, stringBuilder.ToString());
return(filename);
}
private void SaveEvolutionSettings(EvolutionSettings settings)
{
PlayerPrefs.SetString(EVOLUTION_SETTINGS_KEY, settings.Encode());
}
