public SparseVector <T> this[int row] {
get {
var result = new SparseVector <T>(Cols);
if (RowIndice.BinarySearch(row) >= 0)
{
result.Keys.AddRange(ColIndice[row]);
result.Values.AddRange(Values[row]);
}
return(result);
}
set {
var rowIndex = RowIndice.BinarySearch(row);
if (rowIndex < 0)
{
rowIndex = ~rowIndex;
RowIndice.Insert(rowIndex, row);
ColIndice.Insert(rowIndex, new List <int>());
Values.Insert(rowIndex, new List <T>());
}
else
{
ColIndice[rowIndex].Clear();
Values[rowIndex].Clear();
}
ColIndice[rowIndex].AddRange(value.Keys);
Values[rowIndex].AddRange(value.Values);
}
}
private void Set(int row, int col, T value)
{
if (RowIndice.Count == 0)
{
RowIndice.Add(row);
ColIndice.Add(new List <int>());
ColIndice[0].Add(col);
Values.Add(new List <T>());
Values[0].Add(value);
}
else
{
var rowIndex = RowIndice.BinarySearch(row);
if (rowIndex >= 0)
{
var colIndex = ColIndice[rowIndex].BinarySearch(col);
if (colIndex >= 0)
{
Values[rowIndex][colIndex] = value;
}
else
{
ColIndice[rowIndex].Insert(~colIndex, col);
Values[rowIndex].Insert(~colIndex, value);
}
}
else
{
var insertIdx = ~rowIndex;
RowIndice.Insert(insertIdx, row);
ColIndice.Insert(insertIdx, new List <int>());
Values.Insert(insertIdx, new List <T>());
ColIndice[insertIdx].Add(col);
Values[insertIdx].Add(value);
}
}
}
