public void AddItem(string name, PointCloudVisualizationData memberData)
{
bool success = false;
if (Variables.Count > 0)
{
var variable = Variables[Variables.Count - 1];
if (variable.Name == null || variable.Name == "")
{
variable = new ObservedVariable(name);
variable.MemberData = memberData;
ResetAt(variable, Variables.Count - 1);
SelectItem(Variables.Count - 1);
UpdateItem(Variables.Count - 1);
success = true;
}
}
if (!success)
{
var variable = new ObservedVariable(name);
variable.MemberData = memberData;
ResetAt(variable, Variables.Count);
SelectItem(Variables.Count - 1);
}
ResetAt(new ObservedVariable(), Variables.Count);
}
public static PointCloud Load(string name, PointCloudVisualizationData memberData)
{
int size = memberData.size;
string positionPtr = "((float*)" + memberData.positionPtr + ")";
return(GetPointCloud(size, positionPtr, null));
}
PointCloudVisualizationData parseMembers(DkmSuccessEvaluationResult eval)
{
PointCloudVisualizationData members = new PointCloudVisualizationData();
{
Regex pattern = new Regex(@"\[size\]=(\d+)");
Match match = pattern.Match(eval.Value);
if (match.Groups.Count > 1)
{
members.size = int.Parse(match.Groups[1].Value);
}
else
{
members.size = 0;
}
}
{
Regex pattern = new Regex(@"\[positions\]=(0x[0-9A-Fa-f]+)");
Match match = pattern.Match(eval.Value);
if (match.Groups.Count > 1)
{
members.positionPtr = match.Groups[1].Value;
}
else
{
members.positionPtr = null;
}
}
{
Regex pattern = new Regex(@"\[normals\]=(0x[0-9A-Fa-f]+)");
Match match = pattern.Match(eval.Value);
if (match.Groups.Count > 1)
{
members.normalPtr = match.Groups[1].Value;
}
else
{
members.normalPtr = null;
}
}
{
Regex pattern = new Regex(@"\[precision\]=(\w+)");
Match match = pattern.Match(eval.Value);
if (match.Groups.Count > 1)
{
if (match.Groups[1].Value == "float")
{
members.precision = PointCloudPrecisionType.Float;
}
else if (match.Groups[1].Value == "double")
{
members.precision = PointCloudPrecisionType.Double;
}
else
{
members.precision = PointCloudPrecisionType.Unknown;
}
}
else
{
members.precision = PointCloudPrecisionType.Float;
}
}
{
Regex pattern = new Regex(@"\[dimension\]=(\d+)");
Match match = pattern.Match(eval.Value);
if (match.Groups.Count > 1)
{
members.dimension = int.Parse(match.Groups[1].Value);
if (members.dimension != 3 && members.dimension != 2)
{
members.dimension = 0;
}
}
else
{
members.dimension = 3;
}
}
return(members);
}