private void ReceiveRevealRequest(byte[] body, ulong senderId)
{
Log.Trace("Receiving Reveal Request", "ReceiveRevealRequest");
RevealRequest request = RevealRequest.FromBytes(body);
bool success = Session.Manager.QueueReveal(request.EntityId);
RevealResponse response = new RevealResponse()
{
EntityId = request.EntityId,
Success = success
};
Log.Trace("Sending response success ? " + response.Success, "ReceiveRevealRequest");
response.SendToPlayer(senderId);
}
private void ReceiveRevealResponse(byte[] body)
{
Log.Trace("Receiving Reveal Response", "ReceiveRevealResponse");
RevealResponse response = RevealResponse.FromBytes(body);
String result = response.Success ?
"Successfully queued for reveal" :
"Failed to reveal";
result += " grid " + response.EntityId;
Notification notice = new ChatNotification()
{
Text = result,
Sender = "GP"
};
notice.Raise();
}
// Most of the code is very similar to TrainModel and TestModel in the Q_Agent, which is why I would like to combine all 3 into a single method with parametrized behavior
public void TestRandom()
{
int winCount = 0;
Dictionary <int, int> stepStatistics = new Dictionary <int, int>();
List <double> clearedRates = new List <double>();
for (int i = 0; i < NumRuns; i++)
{
bool endState = false;
int stepCount = 0;
while (!endState)
{
(int, int)selectedState;
RevealResponse response = RevealResponse.Nothing;
var revealedTiles = new List <(int, int)>();
// Five attempts to find a new random state that has not already been revealed
int attempt = 0;
do
{
selectedState = SelectRandomState();
attempt++;
if (attempt > 200)
{
endState = true;
break;
}
}while (revealedTiles.Contains(selectedState));
if (gameBoard.ValidateCoordinates(selectedState))
{
response = gameBoard.RevealTile(selectedState);
revealedTiles.Add(selectedState);
}
gameBoard.PrintBoard();
if (response == RevealResponse.Bomb)
{
endState = true;
}
if (gameBoard.CheckWinState())
{
endState = true;
winCount++;
}
stepCount++;
}
clearedRates.Add(gameBoard.GetPercentageCleared());
if (stepStatistics.ContainsKey(stepCount))
{
stepStatistics[stepCount]++;
}
else
{
stepStatistics.Add(stepCount, 1);
}
gameBoard = ResetFunc.Invoke();
}
Console.WriteLine(string.Format("Win Count: {0} out of {1} ({2}%)", winCount, NumRuns, (winCount * 100 / NumRuns)));
Console.WriteLine("Testing is complete. Step stats: ");
Console.WriteLine(JsonConvert.SerializeObject(stepStatistics));
Console.WriteLine("Average percentage cleared: " + clearedRates.Average());
Console.ReadLine();
}
