public static int[,] Run(int[,] data, int target)
{
var row = data.GetUpperBound(0) + 1;
var col = data.GetUpperBound(1) + 1;
var search = new IterativeMatrixSearch(data, target);
var resultNodes = search.Start();
if (resultNodes == null)
{
return(null);
}
var result = new int[row, col];
for (var i = 0; i < row; i++)
{
for (var j = 0; j < col; j++)
{
result[i, j] = resultNodes[i, j].Value.Low;
}
}
return(result);
}
private IEnumerable <NodeDescription> SelectInternal(
int targetSeedNodeCount,
IEnumerable <NodeDescription> nodes,
bool allowSuboptimal)
{
this.traceLogger.WriteInfo(SeedNodeSelector.TraceType, "SeedNodeSelector.SelectInternal: Entering. allowSuboptimal: {0}", allowSuboptimal);
var data = this.GetMatrix(nodes);
if (!allowSuboptimal)
{
var upperLimit = (targetSeedNodeCount + Math.Max(this.row, this.col) - 1) / Math.Max(this.row, this.col);
for (int i = 0; i < this.row; i++)
{
for (int j = 0; j < this.col; j++)
{
if (data[i, j] > upperLimit)
{
data[i, j] = upperLimit;
}
}
}
}
if (nodes.Count() == targetSeedNodeCount)
{
if (!allowSuboptimal && !Validate(data, targetSeedNodeCount, data))
{
this.traceLogger.WriteInfo(SeedNodeSelector.TraceType, "SeedNodeSelector.SelectInternal: return null.");
return(null);
}
this.traceLogger.WriteInfo(SeedNodeSelector.TraceType, "SeedNodeSelector.SelectInternal: return original nodes.");
return(nodes);
}
var result = IterativeMatrixSearch.Run(data, targetSeedNodeCount);
this.traceLogger.WriteInfo(SeedNodeSelector.TraceType, "SeedNodeSelector.SelectInternal: IterativeMatrixSearch.Run returns {0}.", result != null);
if (result == null && allowSuboptimal)
{
result = RandomMatrixSearch.Run(data, null, targetSeedNodeCount, true);
this.traceLogger.WriteInfo(SeedNodeSelector.TraceType, "SeedNodeSelector.SelectInternal: RandomMatrixSearch.Run returns {0}.", result != null);
}
if (result == null)
{
return(null);
}
return(this.GetNodesFromMatrix(nodes, result));
}
