public IEnumerable <T> GetEnumerable()
{
var denseArrayView = DenseView != null?DenseView.GetEnumerable() : null;
var sparseIndicesArrayView = SparseIndices != null?SparseIndices.GetEnumerable() : null;
var sparseValuesArrayView = SparseValues != null?SparseValues.GetEnumerable() : null;
using (var sparseIndicesIter = sparseIndicesArrayView != null ? sparseIndicesArrayView.GetEnumerator() : null)
{
var nextIndex = uint.MaxValue;
if (sparseIndicesIter != null)
{
sparseIndicesIter.MoveNext();
nextIndex = sparseIndicesIter.Current;
}
var sparseIndex = 0;
for (int i = 0; i < Length; ++i)
{
var v = default(T);
if (denseArrayView != null)
{
v = denseArrayView.ElementAt(i);
}
if (i == nextIndex)
{
v = sparseValuesArrayView.ElementAt(sparseIndex);
++sparseIndex;
// Set uint.MaxValue when the iterator reached to end to prevent matching for condition.
nextIndex = sparseIndicesIter.MoveNext() ? sparseIndicesIter.Current : uint.MaxValue;
}
yield return(v);
}
}
}
/// <summary>
/// Sets this sparse Gamma list to be a uniform distribution
/// </summary>
public void SetToUniform()
{
CommonValue.SetToUniform();
SparseValues.Clear();
}
