void EndGame(SimpleGoPlayer blackAI, SimpleGoPlayer whiteAI)
{
Output("\nGAME done, final score: ");
string finalScore = "";
try
{
finalScore = blackAI.final_score();
}
catch
{
try
{
finalScore = whiteAI.final_score();
}
catch
{
Output("neither side can score!");
}
}
if (finalScore != "")
{
char winner = finalScore.ToLower()[0];
double score = Convert.ToDouble(finalScore.Substring(2));
string winnerName = winner == 'w' ? whiteAi : blackAi;
string loserName = winner == 'b' ? whiteAi : blackAi;
Output(winnerName + "\t" + score.ToString());
string gameKey = blackAi + " vs " + whiteAi;
AddToDict(gamesPlayed, gameKey, 1);
AddToDict(blackWinSum, gameKey, 1);
AddToDict(blackScoreSum, gameKey, winner == 'b' ? score : -score);
}
Output("\n");
}
/// <summary>
/// Outputs it results to the console.
/// </summary>
public static void SimpleMontecarloTest(SimpleGoPlayer goPlayer)
{
int boardSampleCount = 1;
int monteCarloCount = 5;
int tryPlayCount = 1; //We try to play this amount of pieces, but with overlap we may play less
Random random = new Random();
int[][,] boardSamples = new int[boardSampleCount][,];
for (int x = 0; x < boardSampleCount; x++)
{
boardSamples[x] = new int[9, 9];
for (int y = 0; y < tryPlayCount; y++)
{
int xPos = random.Next(9); int yPos = random.Next(9);
if (boardSamples[x][xPos, yPos] == 0)
boardSamples[x][xPos, yPos] = (y % 2) + 1;
}
}
int[][,] forcedOutput = new int[boardSampleCount][,];
long speedTestOne = DateTime.Now.Ticks;
double averagePlainBoard = 0;
double[,] boardRates = new double[9, 9];
TestDotNetGoPlayer.monteCarloCount = monteCarloCount;
int[,] board = new int[9, 9];
int[,] libboard = new int[9, 9];
int[,] groboard = new int[9, 9];
int curGroupCount = 0;
int blackCaptured = 0;
int whiteCaptured = 0;
TestDotNetGoPlayer.MetaPlayPiece(2, board, libboard, groboard, ref curGroupCount,
2, 2, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer.MetaPlayPiece(1, board, libboard, groboard, ref curGroupCount,
6, 2, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer.MetaPlayPiece(2, board, libboard, groboard, ref curGroupCount,
2, 4, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer.MetaPlayPiece(1, board, libboard, groboard, ref curGroupCount,
4, 4, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer.MetaPlayPiece(2, board, libboard, groboard, ref curGroupCount,
3, 5, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer.MetaPlayPiece(1, board, libboard, groboard, ref curGroupCount,
2, 6, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer.MetaPlayPiece(2, board, libboard, groboard, ref curGroupCount,
4, 6, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer.MetaPlayPiece(1, board, libboard, groboard, ref curGroupCount,
6, 6, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer.MetaPlayPiece(1, board, libboard, groboard, ref curGroupCount,
4, 5, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer.MetaPlayPiece(2, board, libboard, groboard, ref curGroupCount,
3, 6, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer.MetaPlayPiece(1, board, libboard, groboard, ref curGroupCount,
3, 2, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer.MetaPlayPiece(2, board, libboard, groboard, ref curGroupCount,
2, 7, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer.MetaPlayPiece(1, board, libboard, groboard, ref curGroupCount,
5, 6, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer.MetaPlayPiece(2, board, libboard, groboard, ref curGroupCount,
1, 6, ref blackCaptured, ref whiteCaptured);
TestDotNetGoPlayer player = new TestDotNetGoPlayer();
double bestWinRate = 0;
Ent_vertex vertex = player.GetBest(true, true, board, 1, 0, out bestWinRate);
//Just make sure they are the same (as it is a deterministic test anyway)
for (int x = 0; x < boardSampleCount; x++)
{
for(int j = 0; j < 9; j ++)
for (int k = 0; k < 9; k++)
{
int[,] cboard = new int[9, 9]; Array.Copy(board, cboard, 9 * 9);
int[,] clibboard = new int[9, 9]; Array.Copy(libboard, clibboard, 9 * 9);
int[,] cgroboard = new int[9, 9]; Array.Copy(groboard, cgroboard, 9 * 9);
int ccurGroupCount = 0;
int cblackCaptured = 0;
int cwhiteCaptured = 0;
double averageScore = 0;
if (board[j, k] > 0)
{
boardRates[j, k] = board[j, k] + 0.01;
continue;
}
if (!TestDotNetGoPlayer.KeepBranch(1, cboard, clibboard, cgroboard,
ref curGroupCount, j, k))
{
boardRates[j, k] = -100;
continue;
}
TestDotNetGoPlayer.MetaPlayPiece(1, cboard, clibboard, cgroboard, ref ccurGroupCount,
j, k, ref cblackCaptured, ref cwhiteCaptured);
boardRates[j, k] += TestDotNetGoPlayer.MonteCarloForBlackMetadata(false,
cboard, 0, 0, monteCarloCount, ref averageScore);
//boardRates[j, k] = averageScore;
boardRates[j, k] *= TestDotNetGoPlayer.KeepBranch(1, board, libboard,
groboard, ref curGroupCount, j, k) ? 1 : -1;
}
}
for (int j = 0; j < 9; j++)
for (int k = 0; k < 9; k++)
boardRates[j, k] /= boardSampleCount;
//averagePlainBoard += TestDotNetGoPlayer.MonteCarloForBlack(true, boardSamples[x], 0, 0);
//averagePlainBoard /= boardSampleCount;
speedTestOne = DateTime.Now.Ticks - speedTestOne;
Console.WriteLine((9 * 9 * TestDotNetGoPlayer.monteCarloCount) / ((speedTestOne / 10000.0) / 1000.0));
Console.Read();
}
