/**
* Constructs a new {@code SparseBinaryMatrix} with the specified dimensions,
* allowing the specification of column major ordering if desired.
* (defaults to row major ordering)
*
* @param dimensions each indexed value is a dimension size
* @param useColumnMajorOrdering if true, indicates column first iteration, otherwise
* row first iteration is the default (if false).
*/
public SparseBinaryMatrix(int[] dimensions, bool useColumnMajorOrdering, IDistributedArray distArray = null) : base(dimensions, useColumnMajorOrdering)
{
// We create here a simple array on a single node.
if (distArray == null)
{
this.backingArray = new InMemoryArray(1, typeof(int), dimensions);
}
else
{
this.backingArray = distArray;
}
}
/// <summary>
/// Gets the access to a row inside of multidimensional array.
/// </summary>
/// <typeparam name="T"></typeparam>
/// <param name="array"></param>
/// <param name="row"></param>
/// <returns></returns>
//public static T[] GetRow<T>(this T[,] array, int row)
private static T[] getRow <T>(IDistributedArray array, int row)
{
if (array == null)
{
throw new ArgumentNullException("array");
}
int cols = array.GetUpperBound(1) + 1;
T[] result = new T[cols];
for (int i = 0; i < cols; i++)
{
result[i] = (T)array[row, i];
}
return(result);
}
