private void PrintMoveStatistics(double runtime, Grid grid, SearchResult result,
int[] scores, int[] scoreTypes)
{
Debug.Assert(scores.Length == scoreTypes.Length);
log.WriteLine("Done");
// Print the grid before the AI's move to the log file.
log.WriteLineToLog();
log.WriteLineToLog("Grid before AI move:");
log.WriteLineToLog(grid.ToString());
log.WriteLineToLog();
// Print node statistics.
double cutoffsOnFirstChild = betaCutoffsOnFirstChild * 100D / betaCutoffs;
double cutoffsOnOrderedChildren = betaCutoffsOnOrderedChildren * 100D / betaCutoffs;
log.Write("Analysed ");
WriteWithColor("{0:N0}", ConsoleColor.White, totalNodesSearched);
log.WriteLine(" states, including {0:N0} end states.", endNodesSearched);
log.WriteLine(" Searched {0:N0} pv-nodes, {1:N0} cut-nodes and {2:N0} all-nodes.",
pvNodes, cutNodes, allNodes);
log.WriteLine(" {0:N0} cutoffs from lookups.", alphaBetaCutoffs);
log.WriteLine(" {0:N0} beta cutoffs ({1:N2}% on first child, {2:N2}% on "
+ "ordered children).", betaCutoffs, cutoffsOnFirstChild,
cutoffsOnOrderedChildren);
// Print runtime statistics.
double nodesPerMillisecond = Math.Round(totalNodesSearched / runtime, 4);
string minutes = (runtime > 60000)
? String.Format(" ({0:N2} minutes)", runtime / 60000.0) : "";
log.Write("Runtime {0:N} ms{1} (", runtime, minutes);
WriteWithColor("{0:N}", ConsoleColor.White, nodesPerMillisecond);
log.WriteLine(" states / ms).");
log.WriteLine(" Total runtime {0:N} ms.", totalRuntime);
// Print the scores of each valid move.
log.Write("The move scores are");
for (int i = 0; i < scores.Length; i++)
{
if (grid.IsValidMove(i))
{
log.Write(" {0}:", i);
if (scoreTypes[i] == -1)
{
log.Write("-");
}
else
{
if (scores[i] == infinity)
{
log.WriteToLog("+\u221E");
Console.ForegroundColor = ConsoleColor.Green;
Console.Write("+Inf");
Console.ResetColor();
}
else if (scores[i] == -infinity)
{
log.WriteToLog("-\u221E");
Console.ForegroundColor = ConsoleColor.Red;
Console.Write("-Inf");
Console.ResetColor();
}
else
{
log.Write("{0}", scores[i]);
}
switch (scoreTypes[i])
{
case NodeTypeExact:
log.Write("E");
break;
case NodeTypeLower:
log.Write("L");
break;
case NodeTypeUpper:
log.Write("U");
break;
}
}
}
}
log.WriteLine();
// Print the score of the chosen move.
if (result.score > 0)
{
WriteLineWithColor(" AI will win latest on move {0}.",
ConsoleColor.Green, result.GetDepth());
}
else if (result.score < 0)
{
WriteLineWithColor(" AI will lose on move {0} (assuming perfect play).",
ConsoleColor.Red, result.GetDepth());
}
else
{
log.WriteLine(" Move score is {0}.", result.score);
}
log.WriteLine(" Move is {0:N0}.", finalMove);
log.WriteLine("Correct/Incorrect guesses: {0:N0}/{1:N0}", correctGuesses, incorrectGuesses);
// Print transposition table statistics.
log.WriteLine();
log.WriteLine("Transposition table:");
log.WriteLine(" Size: {0:N0}", TranspositionTable.TableSize);
log.WriteLine(" Memory Space: {0:N0} MB",
TranspositionTable.MemorySpaceBytes / 1024 / 1024);
log.WriteLine(" Shallow Lookups: {0:N0}", shallowTableLookups);
log.WriteLine(" Lookups: {0:N0}", tableLookups);
log.WriteLine(" Requests: {0:N0}",
transpositionTable.Requests);
log.WriteLine(" Insertions: {0:N0}",
transpositionTable.Insertions);
log.WriteLine(" Collisions: {0:N0}",
transpositionTable.Collisions);
log.WriteLine(" Items: {0:N0} ({1:N4}% full)",
transpositionTable.Size, 100.0 * transpositionTable.Size
/ TranspositionTable.TableSize);
transpositionTable.ResetStatistics();
log.WriteLine();
log.WriteLine();
}
