void CalculateNode(string path, int round, IClusterNode parentNode, Bucket parentBucket)
{
if (round == 4)
{
return;
}
if (IsVerbose)
{
Console.WriteLine("Start node: {0}.", path);
}
McHand[] hands = null;
hands = CreateMcHands(round, parentBucket);
Bucket[] buckets = Clusterizer.BucketizeHands(round, hands, parentNode);
for (int i = 0; i < parentNode.ChildrenCount; ++i)
{
CalculateNode(path + "," + i.ToString(), round + 1, parentNode.GetChild(i), buckets[i]);
}
if (IsVerbose)
{
Console.WriteLine("Finish node: {0}.", path);
}
}
/// <summary>
/// Method to access children for standard tree algorithms.
/// </summary>
public static bool TreeGetChild(ClusterTree tree, IClusterNode n, ref int i, out IClusterNode child)
{
if (i >= n.ChildrenCount)
{
child = null;
return(false);
}
child = n.GetChild(i++);
return(true);
}
private void CalculateStatistics(IClusterNode n, int round, double [] minClusters, double [] maxClusters)
{
if (round == 4)
{
return;
}
int clustersCount = n.ChildrenCount;
minClusters[round] = Math.Min(minClusters[round], clustersCount);
maxClusters[round] = Math.Max(maxClusters[round], clustersCount);
for (int c = 0; c < n.ChildrenCount; ++c)
{
CalculateStatistics(n.GetChild(c), round + 1, minClusters, maxClusters);
}
}
public IClusterNode Generate()
{
_rng = new MersenneTwister(RngSeed);
_totalMcSamples = 0;
Clusterizer.IsVerbose = IsVerbose;
IClusterNode root = Clusterizer.OnGenerateBegin();
Bucket [] buckets = CreatePreflopBuckets(root.ChildrenCount);
for (int i = 0; i < root.ChildrenCount; ++i)
{
CalculateNode(i.ToString(), 1, root.GetChild(i), buckets[i]);
}
if (IsVerbose)
{
double [] minClusters = new double[4].Fill(i => double.MaxValue);
double [] maxClusters = new double[4].Fill(i => double.MinValue);
CalculateStatistics(root, 0, minClusters, maxClusters);
Console.Write("Min clusters count:");
for (int r = 0; r < minClusters.Length; ++r)
{
Console.Write("{0,3} ", minClusters[r]);
}
Console.WriteLine();
Console.Write("Max clusters count:");
for (int r = 0; r < maxClusters.Length; ++r)
{
Console.Write("{0,3} ", maxClusters[r]);
}
Console.WriteLine();
Console.WriteLine("Samples: {0:#,#}", _totalMcSamples);
}
Clusterizer.OnGenerateEnd(root);
return(root);
}