// Starts the evaluation by first creating new agents from the current population and then restarting the track manager.
private void StartEvaluation(IEnumerable <Genotype> currentPopulation)
{
//Create new agents from currentPopulation
agents.Clear();
AgentsAliveCount = 0;
//Update timer to current system time
this.geneticAlgorithm.time = TimeUtilities.CurrentTimeMillis();
foreach (Genotype genotype in currentPopulation)
{
agents.Add(new Agent(genotype, MathHelper.SoftSignFunction, FNNTopology));
}
TrackManager.Instance.SetCarAmount(agents.Count);
IEnumerator <CarController> carsEnum = TrackManager.Instance.GetCarEnumerator();
for (int i = 0; i < agents.Count; i++)
{
if (!carsEnum.MoveNext())
{
Debug.LogError("Cars enum ended before agents.");
break;
}
carsEnum.Current.Agent = agents[i];
AgentsAliveCount++;
agents[i].AgentDied += OnAgentDied;
}
TrackManager.Instance.Restart();
}
private static Thread InitializeMessageSyncing()
{
var messageSyncing = new Thread(() =>
{
while (Syncing)
{
try
{
Requests
.RequestConversationList()
?.Result
?.Conversations
.SelectMany(it1 => it1.Messages)
.Where(it2 => it2.TimeStamp >= TimeUtilities.CurrentTimeMillis() - 2000)
.ToList()
.ForEach(m =>
Console.WriteLine($"{Requests.RequestUserInfoOwn()?.Result.Name} => Y: {m.Value}"));
Thread.Sleep(2000);
}
catch (ThreadAbortException)
{
Console.WriteLine("Stopping the syncing thread...");
break;
}
}
});
messageSyncing.Start();
return(messageSyncing);
}
private void InitTimer()
{
long tiempoActivo = TimeUtilities.CurrentTimeMillis();
long totalTiempo = tiempoActivo - this.time;
string datos = "Generacion: " + this.GenerationCount + Environment.NewLine +
"Tiempo: " + totalTiempo + Environment.NewLine;
print(datos);
}
public IActionResult Post()
{
Program.Logger.LogDebug("Handling conversation/send request");
var invalidResult = this.ProcessRequest <ConversationSendRequest>(out var request, out var apiKey);
Program.Logger.LogDebug($"Parsed the request. Request: {request}");
if (invalidResult != null)
{
return(invalidResult);
}
Debug.Assert(request != null, nameof(request) + " != null");
var sender = Program.GetUserByApiKey(apiKey);
var receiverName = request.Receiver;
var receiver = Program.GetUserByName(receiverName);
if (receiver == null)
{
return(BadRequest($"User {receiverName} can't be found"));
}
Debug.Assert(Program.DataStorage != null, "Program.DataStorage != null");
var conversation = Program.DataStorage.Conversations.Find(it =>
{
Debug.Assert(sender != null, nameof(sender) + " != null");
return(it.ContainsUser(sender) && it.ContainsUser(receiver));
});
if (conversation == null)
{
Debug.Assert(sender != null, nameof(sender) + " != null");
conversation = new Conversation(sender.Name, receiver.Name, new List <Message>());
Program.DataStorage.Conversations.Add(conversation);
}
Debug.Assert(sender != null, nameof(sender) + " != null");
conversation.Messages.Add(new Message(sender.Name, TimeUtilities.CurrentTimeMillis(), request.Message));
Program.SaveData();
return(Ok());
}
// Appends the current generation count and the evaluation of the best genotype to the statistics file.
private void WriteStatisticsToFile(IEnumerable <Genotype> currentPopulation)
{
foreach (Genotype genotype in currentPopulation)
{
string data = geneticAlgorithm.GenerationCount + "\t" + genotype.Evaluation + "\t" + (TimeUtilities.CurrentTimeMillis() - this.geneticAlgorithm.time) + "\t" + genotype.Fitness + Environment.NewLine;
File.AppendAllText(statisticsFileName + ".txt", data);
break; //Only write first
}
}
