public new static DistArray <T> FromMatlabStruct(MatlabStruct s)
{
// s = struct();
// s.className=class(this);
// distCell = cell(1, length(this.distArray));
// for i=1:length(this.distArray)
// dist = this.distArray(i);
// distCell{i} = dist.toStruct();
// end
// s.distArray = distCell;
// s.mean = this.mean;
// s.variance = this.variance;
//
string className = s.GetString("className");
if (!className.Equals("DistArray"))
{
throw new ArgumentException("The input does not represent a " + "DistArray");
}
object[,] distCell = s.GetCells("distArray");
List <T> dists = new List <T>();
for (int i = 0; i < distCell.Length; i++)
{
var distDict = (Dictionary <string, object>)distCell[0, i];
MatlabStruct distStruct = new MatlabStruct(distDict);
IKEPDist disti = KEPDist.FromMatlabStruct(distStruct);
dists.Add((T)disti);
}
return(new DistArray <T>(dists));
}
public static new StackVectorMapper FromMatlabStruct(MatlabStruct s)
{
// s = struct();
// s.className=class(this);
// mapperCount = length(this.instancesMappers);
// mapperCell = cell(1, mapperCount);
// for i=1:mapperCount
// mapperCell{i} = this.instancesMappers{i}.toStruct();
// end
// s.instancesMappers = this.instancesMappers;
string className = s.GetString("className");
if (!className.Equals(MATLAB_CLASS))
{
throw new ArgumentException("The input does not represent a " + MATLAB_CLASS);
}
object[,] mappersCell = s.GetCells("instancesMappers");
if (mappersCell.Length != 2)
{
throw new ArgumentException("instancesMappers should have length 2.");
}
int m = mappersCell.GetLength(1);
var maps = new VectorMapper[m];
for (int i = 0; i < m; i++)
{
var mapStruct = new MatlabStruct((Dictionary <string, object>)mappersCell[0, i]);
VectorMapper map = VectorMapper.FromMatlabStruct(mapStruct);
maps[i] = map;
}
return(new StackVectorMapper(maps));
}
public static TensorInstances <T1, T2> FromMatlabStruct(MatlabStruct s)
{
// s = struct();
// s.className=class(this);
// instancesCount = length(this.instancesCell);
// cellStruct = cell(1, instancesCount);
// for i=1:instancesCount
// cellStruct = this.instancesCell{i}.toStruct();
// end
// s.instancesCell = cellStruct;
string className = s.GetString("className");
if (!className.Equals(MATLAB_CLASS))
{
throw new ArgumentException("The input does not represent a " +
typeof(TensorInstances <T1, T2>));
}
int instancesCount = s.GetInt("instancesCount");
if (instancesCount != 2)
{
throw new ArgumentException("expect instancesCount to be 2.");
}
object[,] instancesCell = s.GetCells("instancesCell");
if (instancesCell.Length != 2)
{
throw new ArgumentException("instancesCell does not have length 2.");
}
var da1Dict = (Dictionary <string, object>)instancesCell[0, 0];
var da2Dict = (Dictionary <string, object>)instancesCell[0, 1];
// assume instancesCell contains DistArray's
DistArray <T1> da1 = DistArray <T1> .FromMatlabStruct(
new MatlabStruct(da1Dict));
DistArray <T2> da2 = DistArray <T2> .FromMatlabStruct(
new MatlabStruct(da2Dict));
return(new TensorInstances <T1, T2>(da1.GetDists(), da2.GetDists()));
}
