public void ExtractColumn()
{
var RowRules = new List<List<int>>();
var ColumnRules = new List<List<int>>();
var model = new NonogramModel(3, 3, RowRules, ColumnRules);
model[2, 0].State = BoardItemState.Marked;
model[1, 1].State = BoardItemState.Marked;
model[2, 1].State = BoardItemState.Marked;
model[0, 2].State = BoardItemState.Marked;
model[2, 2].State = BoardItemState.Marked;
CollectionAssert.AreEqual(model.ExtractColumn(0), new List<int> { 1 });
CollectionAssert.AreEqual(model.ExtractColumn(1), new List<int> { 1 });
CollectionAssert.AreEqual(model.ExtractColumn(2), new List<int> { 3 });
}
public static NonogramModel GenerateRandom(int width, int height)
{
var model = new NonogramModel(width, height);
Random rnd = new Random();
for (int row = 0; row < height; row += 1)
{
for (int column = 0; column < width; column += 1)
{
if (rnd.Next(2) == 0)
{
model[column, row] = new BoardItem { State = BoardItemState.Marked };
}
}
}
for (int i = 0; i < width; i += 1)
{
model.ColumnRules.Add(model.ExtractColumn(i));
}
for (int i = 0; i < height; i += 1)
{
model.RowRules.Add(model.ExtractRow(i));
}
model.ClearBoard();
return model;
}