/// <summary>
/// Binary deserialization from reader.
/// </summary>
public static ClusterTree Read(BinaryReader r)
{
ClusterTree newTree = new ClusterTree();
newTree.ReadInternal(r);
return(newTree);
}
/// <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);
}
/// <summary>
/// Binary deserialization from file.
/// </summary>
public static ClusterTree Read(string fileName)
{
ClusterTree tree;
using (BinaryReader br = new BinaryReader(
File.Open(fileName, FileMode.Open, FileAccess.Read, FileShare.Read)))
{
tree = ClusterTree.Read(br);
}
return(tree);
}
///<summary>
///<para>Parameters:</para>
///<para>IsCreatingClusterTree: (bool, optional, default: false). Indicates that the object is created to create a cluster tree.</para>
///<para>ClusterTreeFile: (string, required). File with the cluster tree. Is ignored during cluster tree creation.</para>
///<para>MinBucketCounts: (string, required) minimal number of buckets for each round, one-space separated.</para>
///<para>MaxBucketCounts: (string, required) maximal number of buckets for each round, one-space separated.</para>
///<para>ClusterSizes#: (string, optional, default: 1e-9 1e-9 1e-9 1e-9) for each dimension: space separated lengths of one cluster for each round.
///Value for preflop is ignored. For each round the min. number of clusters of all dimesions will be taken.
///Zero-cluster sizes are exclued from the calculatíon.</para>
///<para>KMeansStages: (int, required) number of k-means stages.</para>
///<para>Pockets#: (string, required) preflop pockets for bucket #.</para>
///<para>NormalizeHandValues: (bool, optional, default: false) normalizes values for each coordinate so that they are in [0..1].</para>
///<para>PrintHands: (bool, optional, default: false) print sampled hands.</para>
///<para>PrintHandValues: (bool, optional, default: false) for cluster tree creation: if true, prints values for each hand.</para>
///</summary>
public KMeansAdaptiveCaBase(int dim, Props parameters)
{
Dim = dim;
Parameters = parameters;
_deck = XmlSerializerExt.Deserialize <DeckDescriptor>(
Props.Global.Expand("${bds.DataDir}ai.pkr.metagame/${0}", "stddeck.xml"));
bool isCreatingClusterTree = bool.Parse(Parameters.GetDefault("IsCreatingClusterTree", "false"));
_printHandValues = bool.Parse(Parameters.GetDefault("PrintHandValues", "false"));
_printHands = bool.Parse(Parameters.GetDefault("PrintHands", "false"));
_normalizeHandValues = bool.Parse(Parameters.GetDefault("NormalizeHandValues", "false"));
MaxBucketCounts = ParseBucketsString(Parameters.Get("MaxBucketCounts"));
MinBucketCounts = ParseBucketsString(Parameters.Get("MinBucketCounts"));
if (MinBucketCounts[0] != MaxBucketCounts[0])
{
throw new ApplicationException(string.Format("Max and min preflop bucket counts must be equal, was: {0}, {1}",
MinBucketCounts[0], MaxBucketCounts[0]));
}
ClusterSizes = new double[Dim][];
for (int d = 0; d < Dim; ++d)
{
ClusterSizes[d] = ParseDoubles(Parameters.GetDefault("ClusterSizes" + d.ToString(), "1e-9 1e-9 1e-9 1e-9"));
}
_pfPocketCa = new PreflopPocketCA(parameters, MaxBucketCounts[0]);
if (_pfPocketCa.PocketKindToAbstrCard == null)
{
throw new ApplicationException("Preflop pockets must be specified manually");
}
_kmParameters.SetDefaultTerm();
_kmParameters.dim = Dim;
_kmParameters.term_st_a = int.Parse(Parameters.Get("KMeansStages"));
_kmParameters.term_st_b = _kmParameters.term_st_c = _kmParameters.term_st_d = 0;
_kmParameters.seed = 1;
if (!isCreatingClusterTree)
{
string clusterTreeFile = Parameters.Get("ClusterTreeFile");
if (!File.Exists(clusterTreeFile))
{
throw new ApplicationException(string.Format("Cluster tree file '{0}' does not exist", clusterTreeFile));
}
_clusterTree = ClusterTree.Read(clusterTreeFile);
}
}
///<summary>
///<para>Parameters:</para>
///<para>IsCreatingClusterTree: (bool, optional, default: false). Indicates that the object is created to create a cluster tree.</para>
///<para>ClusterTreeFile: (string, required). File with the cluster tree. Is ignored during cluster tree creation.</para>
///<para>MinBucketCounts: (string, required) minimal number of buckets for each round, one-space separated.</para>
///<para>MaxBucketCounts: (string, required) maximal number of buckets for each round, one-space separated.</para>
///<para>ClusterSizes: (string, required) for each round: space separated HS range for one cluster. Value for preflop is ignored.</para>
///<para>Pockets#: (string, required) preflop pockets for bucket #.</para>
///<para>PrintHandValues: (bool, optional) for cluster tree creation: if true, prints values for each hand.</para>
///</summary>
public HsRangeAdaptiveCa(Props parameters)
{
Parameters = parameters;
_deck = XmlSerializerExt.Deserialize <DeckDescriptor>(
Props.Global.Expand("${bds.DataDir}ai.pkr.metagame/${0}", "stddeck.xml"));
bool isCreatingClusterTree = false;
if (!string.IsNullOrEmpty(Parameters.Get("IsCreatingClusterTree")))
{
isCreatingClusterTree = bool.Parse(Parameters.Get("IsCreatingClusterTree"));
}
_printHandValues = false;
if (!string.IsNullOrEmpty(Parameters.Get("PrintHandValues")))
{
_printHandValues = bool.Parse(Parameters.Get("PrintHandValues"));
}
MaxBucketCounts = ParseBucketsString(Parameters.Get("MaxBucketCounts"));
MinBucketCounts = ParseBucketsString(Parameters.Get("MinBucketCounts"));
if (MinBucketCounts[0] != MaxBucketCounts[0])
{
throw new ApplicationException(string.Format("Max and min preflop bucket counts must be equal, was: {0}, {1}",
MinBucketCounts[0], MaxBucketCounts[0]));
}
ClusterSizes = ParseDoubles(Parameters.Get("ClusterSizes"));
_pfPocketCa = new PreflopPocketCA(parameters, MaxBucketCounts[0]);
if (_pfPocketCa.PocketKindToAbstrCard == null)
{
throw new ApplicationException("Preflop pockets must be specified manually");
}
if (!isCreatingClusterTree)
{
string clusterTreeFile = Parameters.Get("ClusterTreeFile");
if (!File.Exists(clusterTreeFile))
{
throw new ApplicationException(string.Format("Cluster tree file '{0}' does not exist", clusterTreeFile));
}
_clusterTree = ClusterTree.Read(clusterTreeFile);
}
string shortDescription = Parameters.Get("ShortDescription") ?? "";
Name = "HE-HSRA-" + shortDescription + "-" + Parameters.Get("MaxBucketCounts").Replace(" ", "x");
}
///<summary>
///<para>Parameters:</para>
///<para>IsCreatingClusterTree: (bool, optional, default: false). Indicates that the object is created to create a cluster tree.</para>
///<para>ClusterTreeFile: (string, required). File with the cluster tree. Is ignored during cluster tree creation.</para>
///<para>BucketCounts: (string, required) number of buckets for each round, one-space separated.</para>
///<para>Pockets#: (string, required) preflop pockets for bucket #.</para>
///</summary>
public HsRangeCa(Props parameters)
{
Parameters = parameters;
_deck = XmlSerializerExt.Deserialize <DeckDescriptor>(
Props.Global.Expand("${bds.DataDir}ai.pkr.metagame/${0}", "stddeck.xml"));
bool isCreatingClusterTree = false;
if (!string.IsNullOrEmpty(Parameters.Get("IsCreatingClusterTree")))
{
isCreatingClusterTree = bool.Parse(Parameters.Get("IsCreatingClusterTree"));
}
string bucketCountsString = Parameters.Get("BucketCounts");
string[] bucketCountsText = bucketCountsString.Split(new char[] { ' ' },
StringSplitOptions.RemoveEmptyEntries);
BucketCounts = (new int[bucketCountsText.Length]).Fill(i => int.Parse(bucketCountsText[i]));
if (BucketCounts.Length != 4)
{
throw new ArgumentException(string.Format("Bucket counts must be 4, was {0}", BucketCounts.Length));
}
_pfPocketCa = new PreflopPocketCA(parameters, BucketCounts[0]);
if (_pfPocketCa.PocketKindToAbstrCard == null)
{
throw new ApplicationException("Preflop pockets must be specified manually");
}
if (!isCreatingClusterTree)
{
string clusterTreeFile = Parameters.Get("ClusterTreeFile");
if (!File.Exists(clusterTreeFile))
{
throw new ApplicationException(string.Format("Cluster tree file '{0}' does not exist", clusterTreeFile));
}
_clusterTree = ClusterTree.Read(clusterTreeFile);
}
string shortDescription = Parameters.Get("ShortDescription") ?? "";
Name = "HE-HSR-" + shortDescription + "-" + bucketCountsString.Replace(" ", "x");
}