/// <summary>
/// Parallel Computing Setup for Code to Execute.
/// </summary>
/// <param name="pointCloud">ByRef PointCloud to Execute Code on.</param>
/// <returns></returns>
public override bool Execute(ref PointCloud pointCloud)
{
//Set Global Variables
LastPercentReported = 0;
PointCounter = 0;
if (insV_KDTree == null)
{
tree = KDTreeLib.ConstructKDTree(pointCloud);
}
else
{
tree = insV_KDTree;
}
Dict_Utils.CastDictionary_ToArrayDouble(ref pointCloud);
GlobalCloud = pointCloud;
NewCloud = new PointCloud();
CloudPieces = null;
CloudPieces = new PointCloud[ProcCount];
DictPieces = new object[ProcCount];
pts = pointCloud.GetPoints().ToList();
// Setup the cancellation mechanism.
po.CancellationToken = cts.Token;
//Create Partitions for multithreading.
var rangePartitioner = System.Collections.Concurrent.Partitioner.Create(0, GlobalCloud.Count, (int)Math.Ceiling((double)GlobalCloud.Count / ProcCount));
Dict_Utils.CastDictionary_ToArrayDouble(ref GlobalCloud);
//Search for NearestNeighbors per point in PointCloud. Gets the indices in the Cloud for the neighbors to each Point.
List <double> NRange = new List <double> {
double.MaxValue
};
List <int>[] idc = KDTreeLib.NearestNeighborSearch(tree, pts, NRange, insV_NumN);
//Run MultiThreaded Loop.
Parallel.ForEach(rangePartitioner, po, (rng, loopState) =>
{
//Initialize Local Variables.
/// Get Index for Processor to be able to merge clouds in ProcesserIndex order in the end.
int MyIndex = (int)(rng.Item1 / Math.Ceiling(((double)GlobalCloud.Count / ProcCount)));
/// Initialize Partial PointCloud
PointCloud MyCloud = new PointCloud();
/// Get Total Count Fraction to calculate Operation Percentage.
double totc = (double)1 / GlobalCloud.Count;
int count = 0;
if (GlobalCloud.UserDictionary.Count > 0)
{
/// Initialize Partial Dictionary Lists
List <double>[] MyDict = new List <double> [GlobalCloud.UserDictionary.Count];
//Get Dictionary Values from PointCloud
List <double[]> GlobalDict = new List <double[]>();
GlobalDict.Clear();
Dict_Utils.Initialize_Dictionary(ref GlobalDict, ref MyDict, GlobalCloud);
//Loop over individual RangePartitions per processor.
for (int i = rng.Item1; i < rng.Item2; i++)
{
//Operation Percentage Report
///Safe Counter Increment.
Interlocked.Increment(ref PointCounter);
///Calculate and Report Percentage.
if (LastPercentReported < ((PointCounter * totc) * 100))
{
LastPercentReported = (int)(5 * Math.Ceiling((double)(PointCounter * totc) * 20));
this.ReportPercent = LastPercentReported;
}
calcNormal(idc, ref MyCloud, ref count, i);
Dict_Utils.AddItem_FromGlobalDict(ref MyDict, GlobalDict, i);
}
//Add MyCloud to CloudPieces at ProcesserIndex.
CloudPieces[(int)MyIndex] = MyCloud;
//Set DictPieces.
DictPieces[(int)MyIndex] = MyDict;
}
else
{
//Loop over individual RangePartitions per processor.
for (int i = rng.Item1; i < rng.Item2; i++)
{
//Operation Percentage Report
///Safe Counter Increment.
Interlocked.Increment(ref PointCounter);
///Calculate and Report Percentage.
if (LastPercentReported < ((PointCounter * totc) * 100))
{
LastPercentReported = (int)(5 * Math.Ceiling((double)(PointCounter * totc) * 20));
this.ReportPercent = LastPercentReported;
}
calcNormal(idc, ref MyCloud, ref count, i);
}
//Add MyCloud to CloudPieces at ProcesserIndex.
CloudPieces[(int)MyIndex] = MyCloud;
}
//Enable Parrallel Computing Cancellation
po.CancellationToken.ThrowIfCancellationRequested();
}
);
//Merge PointCloud Pieces into One PointCloud.
Cloud_Utils.MergeClouds(ref NewCloud, CloudPieces);
if (GlobalCloud.UserDictionary.Count > 0)
{
List <double>[] NewDict = new List <double> [GlobalCloud.UserDictionary.Count];
Dict_Utils.Merge_DictPieces(ref NewDict, DictPieces);
Dict_Utils.SetUserDict_FromDictLists(ref NewCloud, NewDict, GlobalCloud.UserDictionary.Keys);
}
//Dispose of Global Clouds.
GlobalCloud.Dispose();
pointCloud.Dispose();
/*
* //Colorize
* if (insV_Colorize)
* {
* List<double> colorValues = Color_Utils.ColorValues_Std_pos(NewCloud, insV_Key);
* List<Color> Colors = Color_Utils.ColorGradient_Std_GtoR();
*
* Instruction.Instr_Dict_Color col = new Instruction.Instr_Dict_Color(insV_Key, colorValues, Colors, -1, 0.00);
* Boolean ColResult = col.Execute(ref NewCloud);
*
* //Set ColorGradient UserData
* Color_Utils.Set_ColorGradient_Dict(ref NewCloud, Colors, colorValues);
* }
*/
pointCloud = (PointCloud)NewCloud.Duplicate();
//Dispose of PointCloud Pieces and NewCloud.
GlobalCloud.Dispose();
NewCloud.Dispose();
//Return True on Finish
return(true);
}
/// <summary>
/// Parallel Computing Setup for Code to Execute.
/// </summary>
/// <param name="pointCloud">ByRef PointCloud to Execute Code on.</param>
/// <returns></returns>
public override bool Execute(ref PointCloud pointCloud)
{
//Set Global Variables
LastPercentReported = 0;
PointCounter = 0;
NewCloud = new PointCloud();
CloudPieces = null;
CloudPieces = new PointCloud[ProcCount];
DictPieces = new object[ProcCount];
GlobalCloud = pointCloud;
// Setup the cancellation mechanism.
po.CancellationToken = cts.Token;
//Create Partitions for multithreading.
var rangePartitioner = System.Collections.Concurrent.Partitioner.Create(0, GlobalCloud.Count, (int)Math.Ceiling((double)GlobalCloud.Count / ProcCount));
Dict_Utils.CastDictionary_ToArrayDouble(ref GlobalCloud);
//Run MultiThreaded Loop.
Parallel.ForEach(rangePartitioner, po, (rng, loopState) =>
{
//Initialize Local Variables.
/// Get Index for Processor to be able to merge clouds in ProcesserIndex order in the end.
int MyIndex = (int)(rng.Item1 / Math.Ceiling(((double)GlobalCloud.Count / ProcCount)));
/// Initialize Partial PointCloud
PointCloud MyCloud = new PointCloud();
/// Get Total Count Fraction to calculate Operation Percentage.
double totc = (double)1 / GlobalCloud.Count;
/// Initialize Partial Dictionary Lists
List <double>[] MyDict = new List <double> [GlobalCloud.UserDictionary.Count];
//Get Dictionary Values from PointCloud
List <double[]> GlobalDict = new List <double[]>();
GlobalDict.Clear();
if (GlobalCloud.UserDictionary.Count > 0)
{
Dict_Utils.Initialize_Dictionary(ref GlobalDict, ref MyDict, GlobalCloud);
//Loop over individual RangePartitions per processor.
for (int i = rng.Item1; i < rng.Item2; i++)
{
//Operation Percentage Report
///Safe Counter Increment.
Interlocked.Increment(ref PointCounter);
///Calculate and Report Percentage.
if (LastPercentReported < ((PointCounter * totc) * 100))
{
LastPercentReported = (int)(5 * Math.Ceiling((double)(PointCounter * totc) * 20));
this.ReportPercent = LastPercentReported;
}
//
if (insV_InsideBool)
{
for (int j = 0; j <= insV_Box.Count - 1; j += 1)
{
PointCloudItem GlobalCloudItem = GlobalCloud[i];
if (Math_Utils.IsInBox(GlobalCloudItem.Location, insV_Box[j]))
{
Cloud_Utils.AddItem_FromOtherCloud(ref MyCloud, GlobalCloud, i);
Dict_Utils.AddItem_FromGlobalDict(ref MyDict, GlobalDict, i);
break; // TODO: might not be correct. Was : Exit For
}
}
}
else
{
List <Boolean> CropBools = new List <Boolean>();
PointCloudItem GlobalCloudItem = GlobalCloud[i];
for (int j = 0; j <= insV_Box.Count - 1; j += 1)
{
CropBools.Add(Math_Utils.IsInBox(GlobalCloudItem.Location, insV_Box[j]));
}
bool Crop = !CropBools.Any(x => x == true);
if (Crop)
{
Cloud_Utils.AddItem_FromOtherCloud(ref MyCloud, GlobalCloud, i);
Dict_Utils.AddItem_FromGlobalDict(ref MyDict, GlobalDict, i);
}
}
}
}
else
{
//Loop over individual RangePartitions per processor.
for (int i = rng.Item1; i < rng.Item2; i++)
{
//Operation Percentage Report
///Safe Counter Increment.
Interlocked.Increment(ref PointCounter);
///Calculate and Report Percentage.
if (LastPercentReported < ((PointCounter * totc) * 100))
{
LastPercentReported = (int)(5 * Math.Ceiling((double)(PointCounter * totc) * 20));
this.ReportPercent = LastPercentReported;
}
//
if (insV_InsideBool)
{
for (int j = 0; j <= insV_Box.Count - 1; j += 1)
{
PointCloudItem GlobalCloudItem = GlobalCloud[i];
if (Math_Utils.IsInBox(GlobalCloudItem.Location, insV_Box[j]))
{
Cloud_Utils.AddItem_FromOtherCloud(ref MyCloud, GlobalCloud, i);
break; // TODO: might not be correct. Was : Exit For
}
}
}
else
{
List <Boolean> CropBools = new List <Boolean>();
PointCloudItem GlobalCloudItem = GlobalCloud[i];
for (int j = 0; j <= insV_Box.Count - 1; j += 1)
{
CropBools.Add(Math_Utils.IsInBox(GlobalCloudItem.Location, insV_Box[j]));
}
bool Crop = !CropBools.Any(x => x == true);
if (Crop)
{
Cloud_Utils.AddItem_FromOtherCloud(ref MyCloud, GlobalCloud, i);
}
}
}
}
//Set DictPieces.
if (GlobalCloud.UserDictionary.Count > 0)
{
DictPieces[(int)MyIndex] = MyDict;
}
//Add MyCloud to CloudPieces at ProcesserIndex.
CloudPieces[(int)MyIndex] = MyCloud;
//Enable Parrallel Computing Cancellation
po.CancellationToken.ThrowIfCancellationRequested();
}
);
//Merge PointCloud Pieces into One PointCloud.
Cloud_Utils.MergeClouds(ref NewCloud, CloudPieces);
if (GlobalCloud.UserDictionary.Count > 0)
{
List <double>[] NewDict = new List <double> [GlobalCloud.UserDictionary.Count];
Dict_Utils.Merge_DictPieces(ref NewDict, DictPieces);
Dict_Utils.SetUserDict_FromDictLists(ref NewCloud, NewDict, GlobalCloud.UserDictionary.Keys);
}
//Dispose of Global Clouds.
GlobalCloud.Dispose();
pointCloud.Dispose();
//Set OutputCloud
pointCloud = (PointCloud)NewCloud.Duplicate();
//Dispose of PointCloud Pieces and NewCloud.
CloudPieces = null;
DictPieces = null;
NewCloud.Dispose();
//Return True on Finish
return(true);
}
/// <summary>
/// This is the method that actually does the work.
/// </summary>
/// <param name="DA">The DA object can be used to retrieve data from input parameters and
/// to store data in output parameters.</param>
protected override void SolveInstance(IGH_DataAccess DA)
{
List <PointCloud> cl = new List <PointCloud>();
if (!DA.GetDataList(0, cl))
{
return;
}
//Set Warnings
Boolean sameKeys = true;
for (int i = 0; i < cl.Count; i++)
{
foreach (string key in cl[i].UserDictionary.Keys)
{
for (int j = 0; j < cl.Count; j++)
{
if (!cl[j].UserDictionary.ContainsKey(key))
{
sameKeys = false;
break;
}
}
}
}
if (!sameKeys)
{
this.AddRuntimeMessage(GH_RuntimeMessageLevel.Error, "Clouds Doesn't contain the same UserData.");
return;
}
// Execute
PointCloud NewCloud = new PointCloud();
object[] DictPieces = new object[cl.Count];
for (int i = 0; i < cl.Count; i++)
{
NewCloud.Merge(cl[i]);
if (cl[0].UserDictionary.Count > 0)
{
List <double>[] MyDict = new List <double> [cl[0].UserDictionary.Count];
for (int k = 0; k < cl[i].UserDictionary.Keys.Length; k++)
{
string key = cl[i].UserDictionary.Keys[k];
double[] vals = (double[])cl[i].UserDictionary[key];
MyDict[k] = vals.ToList();
}
DictPieces[i] = MyDict;
}
}
List <double>[] NewDict = new List <double> [cl[0].UserDictionary.Count];
Dict_Utils.Merge_DictPieces(ref NewDict, DictPieces);
Dict_Utils.SetUserDict_FromDictLists(ref NewCloud, NewDict, cl[0].UserDictionary.Keys);
DA.SetData(0, NewCloud);
}