public static void Main()
{
// 1.
var priorityQueue = new PriorityQueue<int>();
priorityQueue.Enqueue(2);
priorityQueue.Enqueue(7);
priorityQueue.Enqueue(17);
priorityQueue.Enqueue(19);
priorityQueue.Enqueue(26);
priorityQueue.Enqueue(29);
priorityQueue.Dequeue();
priorityQueue.Enqueue(3);
priorityQueue.Enqueue(1);
priorityQueue.Dequeue();
priorityQueue.Enqueue(25);
priorityQueue.Enqueue(36);
priorityQueue.Dequeue();
Console.WriteLine();
// 2.
PrintFirst20Products();
Console.WriteLine();
// 3.
CountWords();
}
public int[] makeNextMove(Grid board)
{
PriorityQueue<MoveNode> q = new PriorityQueue<MoveNode>();
q.initialize(expandNodes(board, null, 1));
MoveNode current = q.Dequeue();
while ((current.Ply < depth) && !(q.isEmpty))
{
MoveNode next = q.Dequeue();
if(next.Rank> current.Rank)
{
current = next;
MoveNode[] expnd = expandNodes(current.Board, current, (current.Ply + 1));
if(expnd.Length > 0)
q.EnqueueArray(expnd);
}
}
while(current.Ply > 1)
{
current = current.PreviousMove;
}
//this will be the best move to make after expanding down to depth plys.
int[] result = { current.Group.X, current.Group.Y };
Console.WriteLine("rank: " + current.Rank);
return result;
}
static void Main(string[] args)
{
var queue = new PriorityQueue<int>();
queue.Enqueue(5);
queue.Enqueue(8);
queue.Enqueue(3);
queue.Enqueue(4);
queue.Enqueue(11);
foreach (var i in queue)
{
Console.WriteLine(i);
}
Console.WriteLine("*******Removed value:{0}",queue.Dequeue());
foreach (var i in queue)
{
Console.WriteLine(i);
}
Console.WriteLine("*******Removed value:{0}", queue.Dequeue());
foreach (var i in queue)
{
Console.WriteLine(i);
}
}
public void Remove()
{
PriorityQueue<int> p = new PriorityQueue<int>(delegate(int i, int j) { return i - j; });
Random r = new Random();
for(int i = 0; i < 10000; ++i) {
p.Enqueue(r.Next(1000));
}
int removed = 0;
while(removed < 100) {
int count = p.Count;
p.Remove(r.Next(1000));
if(count > p.Count) {
++removed;
}
}
int item = p.Dequeue();
while(p.Count > 0) {
int next = p.Dequeue();
if(next < item) {
Assert.Fail("bad order detected");
}
}
}
public void TestBasicFunctionality()
{
var q = new PriorityQueue<int>();
Assert.AreEqual(0, q.Count);
Assert.AreEqual(0, q.Capacity);
Assert.Throws<InvalidOperationException>(() => q.Peek());
Assert.Throws<InvalidOperationException>(() => q.Dequeue());
q.Enqueue(5);
q.Enqueue(2);
q.Enqueue(4);
Assert.AreEqual(3, q.Count);
Assert.IsTrue(q.Capacity >= 3);
Assert.IsTrue(q.Contains(2));
Assert.IsFalse(q.Contains(3));
Assert.AreEqual(3, q.ToArray().Length);
CollectionAssert.AreEqual(q.ToArray(), q);
Assert.AreEqual(2, q.Peek());
Assert.AreEqual(2, q.Dequeue());
Assert.AreEqual(4, q.Dequeue());
Assert.AreEqual(5, q.Dequeue());
}
public async void OnTick(IWeiboAccessToken at)
{
if (_tick++%57 != 0)
return;
var resp = await WeiboClient.suggestions_statuses_hot_async(at.get(), 20, true, 1, _type);
if(++_type == hot_status_type.count)
_type = hot_status_type.musement;
if (resp.Failed() || resp.Value.Length == 0)
return;
var queue = new PriorityQueue<long, Status>();
foreach(var s in resp.Value)
{
queue.Enqueue(EvalMark(s),s);
}
while (queue.Size > 5)
queue.Dequeue();
while(!queue.IsEmpty)
{
var s = queue.Dequeue();
var ws = new WeiboStatus();
ws.assign_sina(s);
await DispatcherHelper.UIDispatcher.BeginInvoke(DispatcherPriority.SystemIdle, (Action) (() =>
{
if(statuses.Count > 10)
statuses.RemoveAt(0);
statuses.Add(ws);
}));
}
}
public void PriorityQueue()
{
PriorityQueue<int> pq = new PriorityQueue<int>(LinqExt.TakeMore);
pq.Enqueue(1, 1);
pq.Enqueue(9, 9);
pq.Enqueue(2, 2);
pq.Enqueue(5, 5);
Assert.IsTrue(pq.First() == 9, "Wrong Priority");
Assert.IsTrue(pq.Dequeue() == 9, "Wrong Priority");
Assert.IsTrue(pq.Dequeue() == 5, "Wrong Priority");
pq.ChangePriority(1, 29);
Assert.IsTrue(pq.First() == 1, "Wrong Priority, 1 should be first priority now with priority 29");
pq.Enqueue(3, 2); //add item with same priority
pq.Enqueue(4, 2); //add item with same priority
Assert.IsTrue(pq.Last() == 4, "Wrong Priority, 4 should be last");
pq.Enqueue(30, 30); // mix case
Assert.IsTrue(pq.First() == 30, "Wrong Priority, 30 should be first priority");
pq.Enqueue(31, 30); // mix case
Assert.IsTrue(pq.First() == 30, "Wrong Priority, 30 should still be first priority");
pq.Enqueue(5, 2); //add item with same priority
pq.Enqueue(6, 2); //add item with same priority
Assert.IsTrue(pq.Last() == 6, "Wrong Priority, 6 should be last");
}
public void EnqDeq()
{
var pq = new PriorityQueue<string>();
pq.Enqueue(1, "world");
pq.Enqueue(2, "hello");
Assert.AreEqual("hello", pq.Dequeue());
Assert.AreEqual("world", pq.Dequeue());
}
public void ConstructFromSequence()
{
var pq = new PriorityQueue<int>(new int[] { 1, 4, 2, 10, -10 });
Assert.AreEqual(-10, pq.Dequeue());
Assert.AreEqual(1, pq.Dequeue());
Assert.AreEqual(2, pq.Dequeue());
Assert.AreEqual(4, pq.Dequeue());
Assert.AreEqual(10, pq.Dequeue());
}
public void TestOrder()
{
PriorityQueue<int, string> q = new PriorityQueue<int, string>();
q.Enqueue(0, "a");
q.Enqueue(-1, "b");
q.Enqueue(1, "c");
Assert.AreEqual("b", q.Dequeue());
Assert.AreEqual("a", q.Dequeue());
Assert.AreEqual("c", q.Dequeue());
q.Enqueue(0, "a");
q.Enqueue(0, "b");
q.Enqueue(0, "c");
q.Enqueue(1, "c");
q.Enqueue(1, "d");
q.Enqueue(1, "e");
Assert.AreEqual("a", q.Dequeue());
Assert.AreEqual("b", q.Dequeue());
Assert.AreEqual("c", q.Dequeue());
Assert.AreEqual("c", q.Dequeue());
Assert.AreEqual("d", q.Dequeue());
Assert.AreEqual("e", q.Dequeue());
}
public void BasicTest()
{
var pq = new PriorityQueue<int>();
pq.Enqueue(5);
pq.Enqueue(3);
pq.Enqueue(10);
pq.Enqueue(1);
Assert.AreEqual(1, pq.Dequeue());
Assert.AreEqual(3, pq.Dequeue());
Assert.AreEqual(5, pq.Dequeue());
Assert.AreEqual(10, pq.Dequeue());
}
public void TestConstructWithComparer()
{
var q = new PriorityQueue<int>(Comparer<int>.Create((a, b) => -a.CompareTo(b)));
q.Enqueue(5);
q.Enqueue(2);
q.Enqueue(4);
Assert.AreEqual(5, q.Dequeue());
Assert.AreEqual(4, q.Dequeue());
Assert.AreEqual(2, q.Dequeue());
}
public void New_highest_prio_is_added_at_head()
{
var sut = new PriorityQueue<string>();
sut.Enqueue("0");
sut.Enqueue(1, "1");
sut.Enqueue(2, "2");
Assert.AreEqual("2", sut.Dequeue());
Assert.AreEqual("1", sut.Dequeue());
Assert.AreEqual("0", sut.Dequeue());
}
public void CustomComparer()
{
var pq = new PriorityQueue<int>(
(lhs, rhs) => (10 - lhs).CompareTo(10 - rhs)
);
pq.Enqueue(5);
pq.Enqueue(3);
pq.Enqueue(10);
pq.Enqueue(1);
Assert.AreEqual(10, pq.Dequeue());
Assert.AreEqual(5, pq.Dequeue());
Assert.AreEqual(3, pq.Dequeue());
Assert.AreEqual(1, pq.Dequeue());
}
static void Main(string[] args)
{
PriorityQueue<int> heap = new PriorityQueue<int>();
heap.Enqueue(1);
heap.Enqueue(2);
heap.Enqueue(3);
heap.Enqueue(4);
heap.Dequeue();
heap.Enqueue(3);
heap.Enqueue(5);
Console.WriteLine(heap.Dequeue());
heap.ToString();
heap.Enqueue(2);
heap.ToString();
}
public PathFinder(Grid graph, Cell start, Cell goal)
{
// Priority Queue which contains cells that are candidates for examining, lowest priority to the node with the lowest f value
var frontier = new PriorityQueue<Cell>();
frontier.Enqueue(start, 0);
cameFrom[start] = start;
costSoFar[start] = 0;
while (frontier.Count > 0)
{
var current = frontier.Dequeue();
// Exit the search if goal have discovered
if (current.Equals(goal)) { break; }
// discovers the neighbours
foreach (var next in graph.Neighbors(current))
{
int newCost = costSoFar[current] + graph.Cost(current, next);
if (!costSoFar.ContainsKey(next) || newCost < costSoFar[next])
{
costSoFar[next] = newCost;
// f = g + h
int priority = newCost + Heuristic(next, goal);
frontier.Enqueue(next, priority);
cameFrom[next] = current;
}
}
}
}
static void Main(string[] args)
{
PriorityQueue<int> queue = new PriorityQueue<int>();
queue.Enqueue(5);
queue.Enqueue(3);
queue.Enqueue(16);
queue.Enqueue(4);
queue.Enqueue(8);
queue.Enqueue(10);
queue.Enqueue(20);
queue.Enqueue(33);
queue.Enqueue(6);
queue.Enqueue(24);
queue.Enqueue(68);
queue.Enqueue(19);
queue.Enqueue(61);
queue.Enqueue(638);
queue.Enqueue(213);
queue.Enqueue(2132);
int count = queue.Count;
Console.WriteLine("Get elements from Priority queue one by one:");
for (int i = 0; i < count; i++)
{
Console.WriteLine(queue.Dequeue());
}
}
static void Solve(Dictionary<int, Node> allNodes, Node startNode)
{
foreach (var node in allNodes.Values)
{
node.Distance = int.MaxValue;
}
startNode.Distance = 0;
PriorityQueue<Node> nodes = new PriorityQueue<Node>();
nodes.Enqueue(startNode);
while (nodes.Count > 0)
{
var node = nodes.Dequeue();
if (node.Distance == int.MaxValue)
{
break;
}
for (int i = 0; i < node.Connections.Count; i++)
{
var newDistance = node.Distance + node.Connections[i].Distance;
if (newDistance < node.Connections[i].ToNode.Distance)
{
node.Connections[i].ToNode.Distance = newDistance;
nodes.Enqueue(node.Connections[i].ToNode);
}
}
}
}
public static void Main(string[] args)
{
PriorityQueue<Student> payQueue = new PriorityQueue<Student>();
for (int i = 0; i < 5; i++)
{
payQueue.Enqueue(new Student("Student" + i, 12, true));
}
for (int i = 5; i < 10; i++)
{
payQueue.Enqueue(new Student("Student" + i, 12, false));
}
for (int i = 0; i < 5; i++)
{
payQueue.Enqueue(new Student("StudentVer2" + i, 12, true));
}
int payQueueLength = payQueue.Count;
for (int i = 0; i < payQueueLength; i++)
{
Console.WriteLine(payQueue.Dequeue().ToString());
}
}
static void Main(string[] args)
{
//var queue = new PriorityQueue<int>();
//queue.Enqueue(99);
//queue.Enqueue(2);
//queue.Enqueue(10);
//queue.Enqueue(25);
//queue.Enqueue(11);
//queue.Enqueue(3);
//queue.Enqueue(7);
//queue.Enqueue(22);
//queue.Enqueue(5);
//queue.Enqueue(1);
//queue.Enqueue(45);
//queue.Enqueue(31);
var queue = new PriorityQueue<Student>();
queue.Enqueue(new Student() { Name = "Ivan", Age = 27 });
queue.Enqueue(new Student() { Name = "Pesho", Age = 21 });
queue.Enqueue(new Student() { Name = "Dragan", Age = 24 });
queue.Enqueue(new Student() { Name = "Gosho", Age = 18 });
queue.Enqueue(new Student() { Name = "Todor", Age = 25 });
while (queue.Count > 0)
{
Console.WriteLine(queue.Dequeue().ToString());
}
}
public static void Main()
{
//Heap test
//Heap<int> testHeap = new Heap<int>();
//testHeap.Push(3);
//testHeap.Push(4);
//testHeap.Push(5);
//testHeap.Push(1);
//testHeap.Push(6);
//while (testHeap.Count > 0)
//{
// testHeap.Pop();
// testHeap.Print();
//}
//Queue test
PriorityQueue<int> queue = new PriorityQueue<int>();
queue.Enqueue(3);
queue.Enqueue(4);
queue.Enqueue(5);
queue.Enqueue(1);
queue.Enqueue(6);
queue.Print();
while (queue.Count > 0)
{
queue.Dequeue();
queue.Print();
}
}
public static void DijkstraAlgorithm(Dictionary<Node, List<Connection>> graph, Node source)
{
PriorityQueue<Node> queue = new PriorityQueue<Node>();
foreach (var item in graph)
{
item.Key.DijkstraDistance = long.MaxValue;
}
queue.Enqueue(source);
source.DijkstraDistance = 0;
while (queue.Count != 0)
{
var currentNode = queue.Dequeue();
foreach (var connection in graph[currentNode])
{
var dist = connection.Distance + currentNode.DijkstraDistance;
if (dist < connection.ToNode.DijkstraDistance)
{
connection.ToNode.DijkstraDistance = dist;
queue.Enqueue(connection.ToNode);
}
}
}
}
public static void DijkstraAlgorithm(Dictionary<Node, List<Connection>> graph, Node source)
{
PriorityQueue<Node> queue = new PriorityQueue<Node>();
foreach (var node in graph)
{
node.Key.DijkstraDistance = long.MaxValue;
}
source.DijkstraDistance = 0;
queue.Enqueue(source);
while (queue.Count != 0)
{
Node currentNode = queue.Dequeue();
if (currentNode.DijkstraDistance == long.MaxValue)
{
break;
}
foreach (var connection in graph[currentNode])
{
var potDistance = currentNode.DijkstraDistance + connection.Distance;
if (potDistance < connection.ToNode.DijkstraDistance)
{
connection.ToNode.DijkstraDistance = potDistance;
queue.Enqueue(connection.ToNode);
}
}
}
}
// Dijkstra's shortest paths algorithm, implemented
// with priority queue. Running time: O(M * log M)
// Learn more at: https://en.wikipedia.org/wiki/Dijkstra%27s_algorithm#Using_a_priority_queue
public static void DijkstraAlgorithm(
Dictionary<Node, List<Edge>> graph,
Node sourceNode)
{
var queue = new PriorityQueue<Node>();
foreach (var node in graph)
{
node.Key.Distance = double.PositiveInfinity;
}
sourceNode.Distance = 0.0d;
queue.Enqueue(sourceNode);
while (queue.Count != 0)
{
var currentNode = queue.Dequeue();
if (double.IsPositiveInfinity(currentNode.Distance))
{
// All nodes processed --> algorithm finished
break;
}
foreach (var childEdge in graph[currentNode])
{
var newDistance = currentNode.Distance + childEdge.Distance;
if (newDistance < childEdge.Node.Distance)
{
childEdge.Node.Distance = newDistance;
childEdge.Node.PreviousNode = currentNode;
queue.Enqueue(childEdge.Node);
}
}
}
}
private static void Dijkstra(Graph<int> graph, Node<int> source)
{
var queue = new PriorityQueue<Node<int>>();
foreach (var node in graph.NodesCollection.Keys)
{
node.DijkstraDistance = double.PositiveInfinity;
}
source.DijkstraDistance = 0.0d;
queue.Enqueue(source);
while (queue.Count != 0)
{
var currentNode = queue.Dequeue();
if (double.IsPositiveInfinity(currentNode.DijkstraDistance))
{
break;
}
foreach (var neighbor in currentNode.Collection)
{
var potDistance = currentNode.DijkstraDistance + neighbor.Distance;
if (potDistance < neighbor.Target.DijkstraDistance)
{
neighbor.Target.DijkstraDistance = potDistance;
queue.Enqueue(neighbor.Target);
}
}
}
}
public static void FindMinimalPaths(Dictionary<Node, List<Street>> graph, Node source)
{
PriorityQueue<Node> queue = new PriorityQueue<Node>();
foreach (var node in graph)
{
if (source.ID != node.Key.ID)
{
node.Key.DijkstraDistance = ulong.MaxValue;
}
}
source.DijkstraDistance = 0;
queue.Enqueue(source);
while (queue.Count != 0)
{
Node currentNode = queue.Dequeue();
foreach (var neighbour in graph[currentNode])
{
ulong potDistance = currentNode.DijkstraDistance + neighbour.Distance;
if (potDistance < neighbour.Node.DijkstraDistance)
{
neighbour.Node.DijkstraDistance = potDistance;
// adds only modified elements in the queue
// thus reordering the queue after each iteration is avoided
queue.Enqueue(neighbour.Node);
}
}
}
}
public static Path<Node> FindPath(
Node start,
Node destination,
Func<Node, Node, double> distance,
Func<Node, double> estimate)
{
var closed = new HashSet<Vector2>();
var queue = new PriorityQueue<double, Path<Node>>();
queue.Enqueue(0, new Path<Node>(start));
while (!queue.IsEmpty)
{
var path = queue.Dequeue();
if (closed.Contains(path.LastStep.Point))
{
continue;
}
if (path.LastStep.Point.Equals(destination.Point))
return path;
closed.Add(path.LastStep.Point);
foreach (Node n in path.LastStep.Neightbours)
{
double d = distance(path.LastStep, n);
var newPath = path.AddStep(n, d);
queue.Enqueue(newPath.TotalCost + estimate(n), newPath);
}
}
return null;
}
public void Insert_before_entry_with_lower_prio()
{
var sut = new PriorityQueue<string>();
sut.Enqueue("0");
sut.Enqueue(2, "2");
sut.Enqueue(4, "4");
sut.Enqueue(1, "1");
sut.Enqueue(3, "3");
Assert.AreEqual("4", sut.Dequeue());
Assert.AreEqual("3", sut.Dequeue());
Assert.AreEqual("2", sut.Dequeue());
Assert.AreEqual("1", sut.Dequeue());
Assert.AreEqual("0", sut.Dequeue());
}
public static void DijkstraAlgorithm(Dictionary<Node, List<Connection>> graph, Node source)
{
var queue = new PriorityQueue<Node>();
foreach (var node in graph)
{
node.Key.DijkstraDistance = double.PositiveInfinity;
}
source.DijkstraDistance = 0.0d;
queue.Enqueue(source);
while (queue.Count != 0)
{
var currentNode = queue.Dequeue();
if (double.IsPositiveInfinity(currentNode.DijkstraDistance))
{
break;
}
foreach (var neighbor in graph[currentNode])
{
var potDistance = currentNode.DijkstraDistance + neighbor.Distance;
if (potDistance < neighbor.Node.DijkstraDistance)
{
neighbor.Node.DijkstraDistance = potDistance;
queue.Enqueue(neighbor.Node);
}
}
}
}
public void PriorityQueueDequeueOneElementDecrementsCount()
{
var q = new PriorityQueue<int>();
q.Enqueue(AnyInt);
var count = q.Count;
q.Dequeue();
Assert.Equal(count - 1, q.Count);
}
/// <summary>
/// Returns all nodes in this quadrant that are fully contained within the given bounds.
/// The nodes are returned in order of descending priority.
/// </summary>
/// <param name="bounds">The bounds that contains the nodes you want returned.</param>
/// <returns>A lazy list of nodes along with the new potential of this quadrant.</returns>
internal IEnumerable <Tuple <QuadNode, double> > GetNodesInside(Rect bounds)
{
double w = _bounds.Width / 2;
double h = _bounds.Height / 2;
// assumption that the Rect struct is almost as fast as doing the operations
// manually since Rect is a value type.
Rect topLeft = new Rect(_bounds.Left, _bounds.Top, w, h);
Rect topRight = new Rect(_bounds.Left + w, _bounds.Top, w, h);
Rect bottomLeft = new Rect(_bounds.Left, _bounds.Top + h, w, h);
Rect bottomRight = new Rect(_bounds.Left + w, _bounds.Top + h, w, h);
// Create a priority queue based on the potential of our nodes and our quads.
var queue = new PriorityQueue <IEnumerator <Tuple <QuadNode, double> >, double>(true);
if (_nodes != null)
{
queue.Enqueue(_nodes.GetNodesInside(bounds).GetEnumerator(), _nodes.Next.Priority);
}
if (_topLeft != null && topLeft.Intersects(bounds))
{
queue.Enqueue(_topLeft.GetNodesInside(bounds).GetEnumerator(), _topLeft._potential);
}
if (_topRight != null && topRight.Intersects(bounds))
{
queue.Enqueue(_topRight.GetNodesInside(bounds).GetEnumerator(), _topRight._potential);
}
if (_bottomLeft != null && bottomLeft.Intersects(bounds))
{
queue.Enqueue(_bottomLeft.GetNodesInside(bounds).GetEnumerator(), _bottomLeft._potential);
}
if (_bottomRight != null && bottomRight.Intersects(bounds))
{
queue.Enqueue(_bottomRight.GetNodesInside(bounds).GetEnumerator(), _bottomRight._potential);
}
// Then just loop through the queue.
while (queue.Count > 0)
{
// Grab the enumerator with the highest potential.
var enumerator = queue.Dequeue().Key;
if (enumerator.MoveNext())
{
// Get the current node and its new potential from the enumerator.
var current = enumerator.Current;
var node = current.Item1;
var potential = current.Item2;
// Determine our new potential.
var newPotential = queue.Count > 0 ? !potential.IsNaN() ? Math.Max(potential, queue.Peek().Value) : queue.Peek().Value : potential;
// It might be the case that the actual intersecting node has less priority than our remaining potential.
if (newPotential > node.Priority)
{
// Store it for later in a container containing only it with no further potential.
var store = Enumerable.Repeat(Tuple.Create(node, double.NaN), 1).GetEnumerator();
// Enqueue the container at the correct position.
queue.Enqueue(store, node.Priority);
}
else
{
// Return it to our parent along with our new potential.
yield return(Tuple.Create(node, newPotential));
}
// If this enumerator has some more potential then re-enqueue it.
if (!potential.IsNaN())
{
queue.Enqueue(enumerator, potential);
}
}
}
}
