private static T[]? ConvertDataToSparseProperType <T>(DataElement data, bool isLogical)
{
if (isLogical)
{
return(DataExtraction.GetDataAsUInt8(data).Select(x => x != 0).ToArray() as T[]);
}
switch (data)
{
case MiNum <double> _:
return(DataExtraction.GetDataAsDouble(data) as T[]);
default:
throw new NotSupportedException();
}
}
private static T[] ConvertDataToProperType <T>(DataElement data, ArrayType arrayType)
{
switch (arrayType)
{
case ArrayType.MxDouble:
return(DataExtraction.GetDataAsDouble(data).ToArrayLazily() as T[]);
case ArrayType.MxSingle:
return(DataExtraction.GetDataAsSingle(data).ToArrayLazily() as T[]);
case ArrayType.MxInt8:
return(DataExtraction.GetDataAsInt8(data).ToArrayLazily() as T[]);
case ArrayType.MxUInt8:
return(DataExtraction.GetDataAsUInt8(data).ToArrayLazily() as T[]);
case ArrayType.MxInt16:
return(DataExtraction.GetDataAsInt16(data).ToArrayLazily() as T[]);
case ArrayType.MxUInt16:
return(DataExtraction.GetDataAsUInt16(data).ToArrayLazily() as T[]);
case ArrayType.MxInt32:
return(DataExtraction.GetDataAsInt32(data).ToArrayLazily() as T[]);
case ArrayType.MxUInt32:
return(DataExtraction.GetDataAsUInt32(data).ToArrayLazily() as T[]);
case ArrayType.MxInt64:
return(DataExtraction.GetDataAsInt64(data).ToArrayLazily() as T[]);
case ArrayType.MxUInt64:
return(DataExtraction.GetDataAsUInt64(data).ToArrayLazily() as T[]);
default:
throw new NotSupportedException();
}
}
/// <summary>
/// Construct a complex sparse array.
/// </summary>
/// <param name="flags">Array flags.</param>
/// <param name="dimensions">Array dimensions.</param>
/// <param name="name">Array name.</param>
/// <param name="rowIndex">Row indices.</param>
/// <param name="columnIndex">Denotes index ranges for each column.</param>
/// <param name="data">Real parts of the values.</param>
/// <param name="imaginaryData">Imaginary parts of the values.</param>
/// <returns>A constructed array.</returns>
public static MatArray ConvertToMatSparseArrayOfComplex(
SparseArrayFlags flags,
int[] dimensions,
string name,
int[] rowIndex,
int[] columnIndex,
DataElement data,
DataElement imaginaryData)
{
var realParts = DataExtraction.GetDataAsDouble(data);
var imaginaryParts = DataExtraction.GetDataAsDouble(imaginaryData);
if (realParts == null)
{
throw new HandlerException("Couldn't read sparse array.");
}
var dataDictionary =
ConvertMatlabSparseToDictionary(
rowIndex,
columnIndex,
j => new Complex(realParts[j], imaginaryParts[j]));
return(new MatSparseArrayOf <Complex>(flags, dimensions, name, dataDictionary));
}
