public GameRunnerResults RunGames(int gamesToPlay, BasePacman controller, int RandomSeed = 0, List <double> gameParameters = null)
{
grr = new GameRunnerResults();
gs = gameParameters == null ? new GameState(RandomSeed) : new GameState(gameParameters, RandomSeed);
gs.GameOver += new EventHandler(GameOverHandler);
gs.StartPlay();
// Turn off the logging
if (controller.GetType() == typeof(LucPac))
{
LucPac.REMAIN_QUIET = true;
}
if (controller.GetType() == typeof(LucPacScripted))
{
LucPacScripted.REMAIN_QUIET = true;
}
gs.Controller = controller;
Stopwatch watch = new Stopwatch();
int percentage = -1;
int lastUpdate = 0;
watch.Start();
while (grr.gamesPlayed < gamesToPlay)
{
int newPercentage = (int)Math.Floor(((float)grr.gamesPlayed / gamesToPlay) * 100);
if (newPercentage != percentage || grr.gamesPlayed - lastUpdate >= 100)
{
lastUpdate = grr.gamesPlayed;
percentage = newPercentage;
}
// update gamestate
Direction direction = controller.Think(gs);
gs.Pacman.SetDirection(direction);
// update game
gs.Update();
}
watch.Stop();
// shut down controller
controller.SimulationFinished();
return(grr);
}
public static void RunGameLinear(GameData CustomData)
{
Reset();
try
{
// Set the new count of games that we want to simulate.
gamesToPlay = CustomData.GamesToPlay;
// Get some strange invocation error here.
// tryLoadController(_agentName);
BasePacman controller = null;
if (CustomData.EvolvedValues.Count < 25 && CustomData.EvolvedValues.Count > 0)
{
gs = new GameState(CustomData.EvolvedValues, CustomData.RandomSeed);
}
else
{
gs = new GameState(CustomData.RandomSeed);
}
//BasePacman controller = new TestPac();
controller = GetNewController(CustomData);
/*if(CustomData.AIToUse.Equals("LucPacScripted"))
* {
* controller = new LucPacScripted();
* LucPacScripted.REMAIN_QUIET = true;
* }
* if (CustomData.AIToUse.Equals("MMPac"))
* {
* //use CustomData.NeuralNetwork in constructor
* controller = new MMPac.MMPac(CustomData.MapData.EvolvedValues);
* }
* if (CustomData.AIToUse.Equals("MMLocPac"))
* {
* //use CustomData.NeuralNetwork in constructor
* if (CustomData.MapData.EvolvedValues.Count < 25)
* controller = new MMPac.MMLocPac("NeuralNetworkLocPac.nn");
* else
* controller = new MMPac.MMLocPac(CustomData.MapData.EvolvedValues);
* }
* if(CustomData.AIToUse.Equals("LucPac"))
* {
* controller = new LucPac();
* LucPac.REMAIN_QUIET = true;
* }*/
gs.GameOver += new EventHandler(GameOverHandler);
gs.StartPlay();
gs.Controller = controller;
Stopwatch watch = new Stopwatch();
int percentage = -1;
int lastUpdate = 0;
int lastGamesPlayed = 0;
watch.Start();
while (gamesPlayed < gamesToPlay)
{
int newPercentage = (int)Math.Floor(((float)gamesPlayed / gamesToPlay) * 100);
if (newPercentage != percentage || gamesPlayed - lastUpdate >= 100)
{
lastUpdate = gamesPlayed;
percentage = newPercentage;
Console.Clear();
/*Console.Write("Current parameter set: ");
* foreach(var X in CustomData.MapData.EvolvedValues)
* {
* Console.Write(X + ", ");
* }*/
Console.WriteLine();
Console.WriteLine("Simulating ... " + percentage + "% (" + gamesPlayed + " : " + gamesToPlay + ")");
//Console.WriteLine(" - Elapsed: " + formatSeconds((watch.ElapsedMilliseconds / 1000.0) + "") + "s, Estimated total: " + formatSeconds(((watch.ElapsedMilliseconds / 1000.0) / percentage * 100) + "") + "s");
Console.WriteLine(" - Current best: " + highestScore);
Console.WriteLine(" - Current worst: " + lowestScore);
if (gamesPlayed > 0)
{
Console.WriteLine(" - Current avg.: " + (totalScore / gamesPlayed));
}
/*for (int i = scores.Count - 1; i >= 0 && i > scores.Count - 100; i--)
* {
* Console.Write(scores[i] + ",");
* }*/
}
// update gamestate
Direction direction = controller.Think(gs);
gs.Pacman.SetDirection(direction);
// update game
gs.Update();
ms += GameState.MSPF;
if (lastGamesPlayed != gamesPlayed)
{
//Game finished, recreate controller
controller = GetNewController(CustomData);
gs.Controller = controller;
lastGamesPlayed = gamesPlayed;
}
else
{
if (ms - lastMs > 3600000)
{
gs.InvokeGameOver();
}
}
}
watch.Stop();
// shut down controller
controller.SimulationFinished();
JArray o = JArray.FromObject(Scores);
JArray JGameLengths = JArray.FromObject(GameLengths);
JArray JPowerPills = JArray.FromObject(PowerPillsEaten);
JArray JPills = JArray.FromObject(PillsEaten);
JArray JGhosts = JArray.FromObject(GhostsEaten);
Dictionary <string, object> collection = new Dictionary <string, object>()
{
{ "Scores", o },
{ "Lengths", JGameLengths },
{ "PowerPills", JPowerPills },
{ "Pills", JPills },
{ "Ghosts", JGhosts }
};
JObject Result = new JObject(
new JProperty("metrics",
JObject.FromObject(collection)
)
);
Results = Result.ToString();
// output results
Console.Clear();
long seconds = ms / 1000;
Console.WriteLine("Games played: " + gamesPlayed);
Console.WriteLine("Avg. score: " + (totalScore / gamesPlayed));
Console.WriteLine("Highest score: " + highestScore + " points");
Console.WriteLine("Lowest score: " + lowestScore + " points");
Console.WriteLine("Max Pills Eaten: " + maxPillsEaten);
Console.WriteLine("Min Pills Eaten: " + minPillsEaten);
Console.WriteLine("Average Pills Eaten: " + pillsEatenTotal / gamesPlayed);
Console.WriteLine("Max Ghosts Eaten: " + maxGhostsEaten);
Console.WriteLine("Min Ghosts Eaten: " + minGhostsEaten);
Console.WriteLine("Average Ghosts Eaten: " + totalGhostsEaten / gamesPlayed);
Console.WriteLine("Longest game: " + ((float)longestGame / 1000.0f) + " seconds");
Console.WriteLine("Total simulated time: " + (seconds / 60 / 60 / 24) + "d " + ((seconds / 60 / 60) % 24) + "h " + ((seconds / 60) % 60) + "m " + (seconds % 60) + "s");
Console.WriteLine("Avg. simulated time pr. game: " + ((float)ms / 1000.0f / gamesPlayed) + " seconds");
Console.WriteLine("Simulation took: " + (watch.ElapsedMilliseconds / 1000.0f) + " seconds");
//Console.WriteLine("Speed: " + (ms / watch.ElapsedMilliseconds) + " (" + ((ms / watch.ElapsedMilliseconds) / 60) + "m " + ((ms / watch.ElapsedMilliseconds) % 60) + " s) simulated seconds pr. second");
Console.WriteLine("For a total of: " + gamesPlayed / (watch.ElapsedMilliseconds / 1000.0f) + " games pr. second");
}
catch (Exception e)
{
// Log error.
Console.WriteLine("Error happened. " + e.Message);
}
//return Results;
}