public JobProcessorList(JobPriorityFunction priorityFunction)
{
_receivedJobs = new Dictionary<int, IJob>();
_processingJobs = new Dictionary<int, IJob>();
_processedJobs = new Dictionary<int, IJob>();
_jobsList = new FibonacciQueue<IJob, double>(priorityFunction.CalculatePriority);
_distanceRelaxer = DistanceRelaxers.EdgeShortestDistance;
}
public JobProcessorList(JobPriorityFunction priorityFunction)
{
_receivedJobs = new Dictionary <int, IJob>();
_processingJobs = new Dictionary <int, IJob>();
_processedJobs = new Dictionary <int, IJob>();
_jobsList = new FibonacciQueue <IJob, double>(priorityFunction.CalculatePriority);
_distanceRelaxer = DistanceRelaxers.EdgeShortestDistance;
}
protected override void Initialize()
{
base.Initialize();
// init color, distance
var initialDistance = this.DistanceRelaxer.InitialDistance;
foreach (var u in VisitedGraph.Vertices)
{
this.VertexColors.Add(u, GraphColor.White);
this.Distances.Add(u, initialDistance);
}
this.vertexQueue = new FibonacciQueue <TVertex, double>(this.DistancesIndexGetter());
}
/// <inheritdoc />
protected override void Initialize()
{
base.Initialize();
// Initialize colors and distances
double initialDistance = DistanceRelaxer.InitialDistance;
foreach (TVertex vertex in VisitedGraph.Vertices)
{
VerticesColors.Add(vertex, GraphColor.White);
SetVertexDistance(vertex, initialDistance);
}
_vertexQueue = new FibonacciQueue <TVertex, double>(DistancesIndexGetter());
}
public void Should_dequeue_in_order()
{
var q = new FibonacciQueue <int, int>(i => i);
q.Enqueue(3);
q.Enqueue(1);
q.Enqueue(0);
q.Enqueue(4);
q.Enqueue(9);
q.Dequeue().Should().Be(0);
q.Dequeue().Should().Be(1);
q.Dequeue().Should().Be(3);
q.Dequeue().Should().Be(4);
q.Dequeue().Should().Be(9);
}
protected override void Initialize()
{
base.Initialize();
this.VertexColors.Clear();
this.costs = new Dictionary <TVertex, double>(this.VisitedGraph.VertexCount);
// init color, distance
var initialDistance = this.DistanceRelaxer.InitialDistance;
foreach (var u in VisitedGraph.Vertices)
{
this.VertexColors.Add(u, GraphColor.White);
this.Distances.Add(u, initialDistance);
this.costs.Add(u, initialDistance);
}
this.vertexQueue = new FibonacciQueue <TVertex, double>(this.costs, this.DistanceRelaxer.Compare);
}
/// <inheritdoc />
protected override void Initialize()
{
base.Initialize();
VerticesColors.Clear();
_costs = new Dictionary <TVertex, double>(VisitedGraph.VertexCount);
// Initialize colors and distances
double initialDistance = DistanceRelaxer.InitialDistance;
foreach (TVertex vertex in VisitedGraph.Vertices)
{
VerticesColors.Add(vertex, GraphColor.White);
SetVertexDistance(vertex, initialDistance);
_costs.Add(vertex, initialDistance);
}
_vertexQueue = new FibonacciQueue <TVertex, double>(_costs, DistanceRelaxer.Compare);
}
public void Should_dequeue_massive_amount_in_order()
{
var q = new FibonacciQueue <int, int>(i => i);
var r = new Random();
for (int i = 0; i < 8192; i++)
{
q.Enqueue(r.Next());
}
var c = int.MinValue;
while (q.Count > 0)
{
var i = q.Dequeue();
i.Should().BeGreaterOrEqualTo(c);
c = i;
}
}
/// <inheritdoc />
protected override void InternalCompute()
{
TVertex root = GetAndAssertRootInGraph();
if (!TryGetTargetVertex(out TVertex target))
{
throw new InvalidOperationException("Target vertex not set.");
}
if (!VisitedGraph.ContainsVertex(target))
{
throw new VertexNotFoundException("Target vertex is not part of the graph.");
}
// Start by building the minimum tree starting from the target vertex.
ComputeMinimumTree(
target,
out IDictionary <TVertex, TEdge> successors,
out IDictionary <TVertex, double> distances);
ThrowIfCancellationRequested();
var queue = new FibonacciQueue <DeviationPath, double>(deviationPath => deviationPath.Weight);
int vertexCount = VisitedGraph.VertexCount;
// First shortest path
EnqueueFirstShortestPath(queue, successors, distances, root);
while (queue.Count > 0 &&
ComputedShortestPathCount < ShortestPathCount)
{
ThrowIfCancellationRequested();
DeviationPath deviation = queue.Dequeue();
// Turn into path
var path = new List <TEdge>();
for (int i = 0; i < deviation.DeviationIndex; ++i)
{
path.Add(deviation.ParentPath[i]);
}
path.Add(deviation.DeviationEdge);
int startEdge = path.Count;
AppendShortestPath(path, successors, deviation.DeviationEdge.Target);
Debug.Assert(Math.Abs(deviation.Weight - path.Sum(e => _edgeWeights(e))) < float.Epsilon);
Debug.Assert(path.Count > 0);
// Add to list if has no cycle
if (!path.HasCycles <TVertex, TEdge>())
{
AddComputedShortestPath(path);
}
// Append new deviation paths
if (path.Count < vertexCount)
{
EnqueueDeviationPaths(
queue,
root,
distances,
path.ToArray(),
startEdge);
}
}
}
protected override void InternalCompute()
{
var cancelManager = this.Services.CancelManager;
TVertex root;
if (!this.TryGetRootVertex(out root))
{
throw new InvalidOperationException("root vertex not set");
}
TVertex goal;
if (!this.TryGetGoalVertex(out goal))
{
throw new InvalidOperationException("goal vertex not set");
}
// start by building the minimum tree starting from the goal vertex.
IDictionary <TVertex, TEdge> successors;
IDictionary <TVertex, double> distances;
this.ComputeMinimumTree(goal, out successors, out distances);
if (cancelManager.IsCancelling)
{
return;
}
var queue = new FibonacciQueue <DeviationPath, double>(dp => dp.Weight);
var vertexCount = this.VisitedGraph.VertexCount;
// first shortest path
this.EnqueueFirstShortestPath(queue, successors, distances, root);
while (queue.Count > 0 &&
this.ComputedShortestPathCount < this.ShortestPathCount)
{
if (cancelManager.IsCancelling)
{
return;
}
var deviation = queue.Dequeue();
// turn into path
var path = new List <TEdge>();
for (int i = 0; i < deviation.DeviationIndex; ++i)
{
path.Add(deviation.ParentPath[i]);
}
path.Add(deviation.DeviationEdge);
int startEdge = path.Count;
this.AppendShortestPath(path, successors, deviation.DeviationEdge.Target);
Contract.Assert(deviation.Weight == Enumerable.Sum(path, e => edgeWeights(e)));
Contract.Assert(path.Count > 0);
// add to list if loopless
if (!EdgeExtensions.HasCycles <TVertex, TEdge>(path))
{
this.AddComputedShortestPath(path);
}
// append new deviation paths
if (path.Count < vertexCount)
{
this.EnqueueDeviationPaths(
queue,
root,
successors,
distances,
path.ToArray(),
startEdge
);
}
}
}
public List <T> FindPath(T start, T goal)
{
if (start == null)
{
return(null);
}
if (goal == null)
{
return(null);
}
this.Goal = goal;
gScore = new Dictionary <T, float>();
fScore = new Dictionary <T, float>();
//var openset = new HashSet<T>();
var openset = new FibonacciQueue <T, float>(d => fScore[d]);
var closedset = new HashSet <T>();
cameFrom = new Dictionary <T, T>();
//came_from := the empty map // The map of navigated nodes.
gScore[start] = 0; // Cost from start along best known path.
// Estimated total cost from start to goal through y.
fScore[start] = gScore[start] + ConnectionProvider.GetHeuristicCostEstimate(start, goal);
openset.Enqueue(start);
onBegin();
while (openset.Count > 0)
{
var current = openset.Dequeue();
onSelectNode(current);
if (StopCondition(current))
{
return(reconstruct_reverse_path(cameFrom, current).Reverse().ToList());
}
if (current.Equals(goal))
{
return(reconstruct_reverse_path(cameFrom, goal).Reverse().ToList());
}
closedset.Add(current); //add current to closedset
foreach (var neighbor in ConnectionProvider.GetConnectedNodes(this, current))
{
if (closedset.Contains(neighbor))
{
continue;
}
var tentative_g_score = gScore[current] + ConnectionProvider.GetCost(current, neighbor);
if (openset.Contains(neighbor) && !(tentative_g_score <= gScore[neighbor]))
{
continue;
}
cameFrom[neighbor] = current;
gScore[neighbor] = tentative_g_score;
fScore[neighbor] = gScore[neighbor] + ConnectionProvider.GetHeuristicCostEstimate(neighbor, goal);
if (openset.Contains(neighbor))
{
continue;
}
openset.Enqueue(neighbor);
onEnqueueNode(neighbor);
}
}
return(null);
}
