/// <summary>
/// Construct a double sparse array or a logical sparse array.
/// </summary>
/// <typeparam name="T">Element type (Double or Boolean).</typeparam>
/// <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">The values.</param>
/// <returns>A constructed array.</returns>
public static MatArray ConvertToMatSparseArrayOf <T>(
SparseArrayFlags flags,
int[] dimensions,
string name,
int[] rowIndex,
int[] columnIndex,
DataElement data)
where T : struct
{
if (dimensions.Length != 2)
{
throw new NotSupportedException("Only 2-dimensional sparse arrays are supported");
}
if (data == null)
{
throw new ArgumentException("Null data found.", "data");
}
var elements =
ConvertDataToSparseProperType <T>(data, flags.ArrayFlags.Variable.HasFlag(Variable.IsLogical));
if (elements == null)
{
throw new HandlerException("Couldn't read sparse array.");
}
var dataDictionary =
ConvertMatlabSparseToDictionary(rowIndex, columnIndex, j => elements[j]);
return(new MatSparseArrayOf <T>(flags, dimensions, name, dataDictionary));
}
/// <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));
}
/// <summary>
/// Initializes a new instance of the <see cref="MatSparseArrayOf{T}"/> class.
/// </summary>
/// <param name="flags">Array properties.</param>
/// <param name="dimensions">Dimensions of the array.</param>
/// <param name="name">Array name.</param>
/// <param name="data">Array contents.</param>
public MatSparseArrayOf(
SparseArrayFlags flags,
int[] dimensions,
string name,
Dictionary <(int row, int column), T> data)