private void exchange_rows(int row1, int row2)
{
Dictionary <int, double>[] contents = _contents;
Dictionary <int, double> temp_row = contents[row1];
contents[row1] = contents[row2];
contents[row2] = temp_row;
sparse_row[] row_objects = _row_objects;
sparse_row temp_row_obj = row_objects[row1];
row_objects[row1] = row_objects[row2];
row_objects[row2] = temp_row_obj;
}
public void clear(int new_rows = 0, int new_columns = 0)
{
if (new_rows <= 0)
{
if (_height <= 0)
{
throw new ArgumentException("Matrix size must be positive");
}
new_rows = _height;
new_columns = _initial_width;
}
else if (new_columns <= 0)
{
new_columns = new_rows;
}
int initial_width;
_width = _initial_width = initial_width = new_columns;
int height;
Dictionary <int, double>[] contents;
sparse_row[] row_objects;
if (new_rows == _height)
{
height = _height;
contents = _contents;
row_objects = _row_objects;
for (int cur_row = 0; cur_row < height; ++cur_row)
{
contents [cur_row].Clear();
row_objects[cur_row].set_width(initial_width);
}
}
else
{
_height = height = new_rows;
_contents = contents = new Dictionary <int, double> [height];
_row_objects = row_objects = new sparse_row[height];
for (int cur_row = 0; cur_row < height; ++cur_row)
{
contents [cur_row] = new Dictionary <int, double>();
row_objects[cur_row] = new sparse_row(contents[cur_row], initial_width);
}
}
if (__index_array.Length < initial_width)
{
__index_array = new int[_initial_width];
}
}
