Files
CypherCore/Source/Game/Entities/Taxi/Graph.cs
T
2018-01-02 13:02:21 -05:00

516 lines
20 KiB
C#

/*
* Copyright (C) 2012-2018 CypherCore <http://github.com/CypherCore>
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
using System;
using System.Collections.Generic;
using System.Text;
namespace Game.Entities
{
/// <summary>
/// The IndexMinPriorityQueue class represents an indexed priority queue of generic keys.
/// </summary>
/// <seealso href="http://algs4.cs.princeton.edu/24pq/IndexMinPQ.java.html">IndexMinPQ class from Princeton University's Java Algorithms</seealso>
/// <typeparam name="T">Type must implement IComparable interface</typeparam>
public class IndexMinPriorityQueue<T> where T : IComparable<T>
{
private readonly T[] _keys;
private readonly int _maxSize;
private readonly int[] _pq;
private readonly int[] _qp;
/// <summary>
/// Constructs an empty indexed priority queue with indices between 0 and the specified maxSize - 1
/// </summary>
/// <param name="maxSize">The maximum size of the indexed priority queue</param>
public IndexMinPriorityQueue(int maxSize)
{
_maxSize = maxSize;
Size = 0;
_keys = new T[_maxSize + 1];
_pq = new int[_maxSize + 1];
_qp = new int[_maxSize + 1];
for (int i = 0; i < _maxSize; i++)
{
_qp[i] = -1;
}
}
/// <summary>
/// The number of keys on this indexed priority queue
/// </summary>
public int Size { get; private set; }
/// <summary>
/// Is the indexed priority queue empty?
/// </summary>
/// <returns>True if the indexed priority queue is empty, false otherwise</returns>
public bool IsEmpty()
{
return Size == 0;
}
/// <summary>
/// Is the specified parameter i an index on the priority queue?
/// </summary>
/// <param name="i">An index to check for on the priority queue</param>
/// <returns>True if the specified parameter i is an index on the priority queue, false otherwise</returns>
public bool Contains(int i)
{
return _qp[i] != -1;
}
/// <summary>
/// Associates the specified key with the specified index
/// </summary>
/// <param name="index">The index to associate the key with</param>
/// <param name="key">The key to associate with the index</param>
public void Insert(int index, T key)
{
Size++;
_qp[index] = Size;
_pq[Size] = index;
_keys[index] = key;
Swim(Size);
}
/// <summary>
/// Returns an index associated with a minimum key
/// </summary>
/// <returns>An index associated with a minimum key</returns>
public int MinIndex()
{
return _pq[1];
}
/// <summary>
/// Returns a minimum key
/// </summary>
/// <returns>A minimum key</returns>
public T MinKey()
{
return _keys[_pq[1]];
}
/// <summary>
/// Removes a minimum key and returns its associated index
/// </summary>
/// <returns>An index associated with a minimum key that was removed</returns>
public int DeleteMin()
{
int min = _pq[1];
Exchange(1, Size--);
Sink(1);
_qp[min] = -1;
_keys[_pq[Size + 1]] = default(T);
_pq[Size + 1] = -1;
return min;
}
/// <summary>
/// Returns the key associated with the specified index
/// </summary>
/// <param name="index">The index of the key to return</param>
/// <returns>The key associated with the specified index</returns>
public T KeyAt(int index)
{
return _keys[index];
}
/// <summary>
/// Change the key associated with the specified index to the specified value
/// </summary>
/// <param name="index">The index of the key to change</param>
/// <param name="key">Change the key associated with the specified index to this key</param>
public void ChangeKey(int index, T key)
{
_keys[index] = key;
Swim(_qp[index]);
Sink(_qp[index]);
}
/// <summary>
/// Decrease the key associated with the specified index to the specified value
/// </summary>
/// <param name="index">The index of the key to decrease</param>
/// <param name="key">Decrease the key associated with the specified index to this key</param>
public void DecreaseKey(int index, T key)
{
_keys[index] = key;
Swim(_qp[index]);
}
/// <summary>
/// Increase the key associated with the specified index to the specified value
/// </summary>
/// <param name="index">The index of the key to increase</param>
/// <param name="key">Increase the key associated with the specified index to this key</param>
public void IncreaseKey(int index, T key)
{
_keys[index] = key;
Sink(_qp[index]);
}
/// <summary>
/// Remove the key associated with the specified index
/// </summary>
/// <param name="index">The index of the key to remove</param>
public void Delete(int index)
{
int i = _qp[index];
Exchange(i, Size--);
Swim(i);
Sink(i);
_keys[index] = default(T);
_qp[index] = -1;
}
private bool Greater(int i, int j)
{
return _keys[_pq[i]].CompareTo(_keys[_pq[j]]) > 0;
}
private void Exchange(int i, int j)
{
int swap = _pq[i];
_pq[i] = _pq[j];
_pq[j] = swap;
_qp[_pq[i]] = i;
_qp[_pq[j]] = j;
}
private void Swim(int k)
{
while (k > 1 && Greater(k / 2, k))
{
Exchange(k, k / 2);
k = k / 2;
}
}
private void Sink(int k)
{
while (2 * k <= Size)
{
int j = 2 * k;
if (j < Size && Greater(j, j + 1))
{
j++;
}
if (!Greater(k, j))
{
break;
}
Exchange(k, j);
k = j;
}
}
}
/// <summary>
/// The EdgeWeightedDigrpah class represents an edge-weighted directed graph of vertices named 0 through V-1, where each directed edge
/// is of type DirectedEdge and has real-valued weight.
/// </summary>
/// <seealso href="http://algs4.cs.princeton.edu/44sp/EdgeWeightedDigraph.java.html">EdgeWeightedDigraph class from Princeton University's Java Algorithms</seealso>
public class EdgeWeightedDigraph
{
private readonly LinkedList<DirectedEdge>[] _adjacent;
/// <summary>
/// Constructs an empty edge-weighted digraph with the specified number of vertices and 0 edges
/// </summary>
/// <param name="vertices">Number of vertices in the Graph</param>
public EdgeWeightedDigraph(int vertices)
{
NumberOfVertices = vertices;
NumberOfEdges = 0;
_adjacent = new LinkedList<DirectedEdge>[NumberOfVertices];
for (int v = 0; v < NumberOfVertices; v++)
{
_adjacent[v] = new LinkedList<DirectedEdge>();
}
}
/// <summary>
/// The number of vertices in the edge-weighted digraph
/// </summary>
public int NumberOfVertices { get; private set; }
/// <summary>
/// The number of edges in the edge-weighted digraph
/// </summary>
public int NumberOfEdges { get; private set; }
/// <summary>
/// Adds the specified directed edge to the edge-weighted digraph
/// </summary>
/// <param name="edge">The DirectedEdge to add</param>
/// <exception cref="ArgumentNullException">DirectedEdge cannot be null</exception>
public void AddEdge(DirectedEdge edge)
{
if (edge == null)
{
throw new ArgumentNullException("edge", "DirectedEdge cannot be null");
}
_adjacent[edge.From].AddLast(edge);
}
/// <summary>
/// Returns an IEnumerable of the DirectedEdges incident from the specified vertex
/// </summary>
/// <param name="vertex">The vertex to find incident DirectedEdges from</param>
/// <returns>IEnumerable of the DirectedEdges incident from the specified vertex</returns>
public IEnumerable<DirectedEdge> Adjacent(int vertex)
{
return _adjacent[vertex];
}
/// <summary>
/// Returns an IEnumerable of all directed edges in the edge-weighted digraph
/// </summary>
/// <returns>IEnumerable of of all directed edges in the edge-weighted digraph</returns>
public IEnumerable<DirectedEdge> Edges()
{
for (int v = 0; v < NumberOfVertices; v++)
{
foreach (DirectedEdge edge in _adjacent[v])
{
yield return edge;
}
}
}
/// <summary>
/// Returns the number of directed edges incident from the specified vertex
/// This is known as the outdegree of the vertex
/// </summary>
/// <param name="vertex">The vertex to find find the outdegree of</param>
/// <returns>The number of directed edges incident from the specified vertex</returns>
public int OutDegree(int vertex)
{
return _adjacent[vertex].Count;
}
/// <summary>
/// Returns a string that represents the current edge-weighted digraph
/// </summary>
/// <returns>
/// A string that represents the current edge-weighted digraph
/// </returns>
public override string ToString()
{
var formattedString = new StringBuilder();
formattedString.AppendFormat("{0} vertices, {1} edges {2}", NumberOfVertices, NumberOfEdges, Environment.NewLine);
for (int v = 0; v < NumberOfVertices; v++)
{
formattedString.AppendFormat("{0}: ", v);
foreach (DirectedEdge edge in _adjacent[v])
{
formattedString.AppendFormat("{0} ", edge.To);
}
formattedString.AppendLine();
}
return formattedString.ToString();
}
}
/// <summary>
/// The DirectedEdge class represents a weighted edge in an edge-weighted directed graph.
/// </summary>
/// <seealso href="http://algs4.cs.princeton.edu/44sp/DirectedEdge.java.html">DirectedEdge class from Princeton University's Java Algorithms</seealso>
public class DirectedEdge
{
/// <summary>
/// Constructs a directed edge from one specified vertex to another with the given weight
/// </summary>
/// <param name="from">The start vertex</param>
/// <param name="to">The destination vertex</param>
/// <param name="weight">The weight of the DirectedEdge</param>
public DirectedEdge(uint from, uint to, double weight)
{
From = from;
To = to;
Weight = weight;
}
/// <summary>
/// Returns the destination vertex of the DirectedEdge
/// </summary>
public uint From { get; private set; }
/// <summary>
/// Returns the start vertex of the DirectedEdge
/// </summary>
public uint To { get; private set; }
/// <summary>
/// Returns the weight of the DirectedEdge
/// </summary>
public double Weight { get; private set; }
/// <summary>
/// Returns a string that represents the current DirectedEdge
/// </summary>
/// <returns>
/// A string that represents the current DirectedEdge
/// </returns>
public override string ToString()
{
return string.Format("From: {0}, To: {1}, Weight: {2}", From, To, Weight);
}
}
/// <summary>
/// The DijkstraShortestPath class represents a data type for solving the single-source shortest paths problem
/// in edge-weighted digraphs where the edge weights are non-negative
/// </summary>
/// <seealso href="http://algs4.cs.princeton.edu/44sp/DijkstraSP.java.html">DijkstraSP class from Princeton University's Java Algorithms</seealso>
public class DijkstraShortestPath
{
private readonly double[] _distanceTo;
private readonly DirectedEdge[] _edgeTo;
private readonly IndexMinPriorityQueue<double> _priorityQueue;
/// <summary>
/// Computes a shortest paths tree from the specified sourceVertex to every other vertex in the edge-weighted directed graph
/// </summary>
/// <param name="graph">The edge-weighted directed graph</param>
/// <param name="sourceVertex">The source vertex to compute the shortest paths tree from</param>
/// <exception cref="ArgumentOutOfRangeException">Throws an ArgumentOutOfRangeException if an edge weight is negative</exception>
/// <exception cref="ArgumentNullException">Thrown if EdgeWeightedDigraph is null</exception>
public DijkstraShortestPath(EdgeWeightedDigraph graph, int sourceVertex)
{
if (graph == null)
{
throw new ArgumentNullException("graph", "EdgeWeightedDigraph cannot be null");
}
foreach (DirectedEdge edge in graph.Edges())
{
if (edge.Weight < 0)
{
throw new ArgumentOutOfRangeException(string.Format("Edge: '{0}' has negative weight", edge));
}
}
_distanceTo = new double[graph.NumberOfVertices];
_edgeTo = new DirectedEdge[graph.NumberOfVertices];
for (int v = 0; v < graph.NumberOfVertices; v++)
{
_distanceTo[v] = double.PositiveInfinity;
}
_distanceTo[sourceVertex] = 0.0;
_priorityQueue = new IndexMinPriorityQueue<double>(graph.NumberOfVertices);
_priorityQueue.Insert(sourceVertex, _distanceTo[sourceVertex]);
while (!_priorityQueue.IsEmpty())
{
int v = _priorityQueue.DeleteMin();
foreach (DirectedEdge edge in graph.Adjacent(v))
{
Relax(edge);
}
}
}
private void Relax(DirectedEdge edge)
{
uint v = edge.From;
uint w = edge.To;
if (_distanceTo[w] > _distanceTo[v] + edge.Weight)
{
_distanceTo[w] = _distanceTo[v] + edge.Weight;
_edgeTo[w] = edge;
if (_priorityQueue.Contains((int)w))
{
_priorityQueue.DecreaseKey((int)w, _distanceTo[w]);
}
else
{
_priorityQueue.Insert((int)w, _distanceTo[w]);
}
}
}
/// <summary>
/// Returns the length of a shortest path from the sourceVertex to the specified destinationVertex
/// </summary>
/// <param name="destinationVertex">The destination vertex to find a shortest path to</param>
/// <returns>The length of a shortest path from the sourceVertex to the specified destinationVertex or double.PositiveInfinity if no such path exists</returns>
public double DistanceTo(int destinationVertex)
{
return _distanceTo[destinationVertex];
}
/// <summary>
/// Is there a path from the sourceVertex to the specified destinationVertex?
/// </summary>
/// <param name="destinationVertex">The destination vertex to see if there is a path to</param>
/// <returns>True if there is a path from the sourceVertex to the specified destinationVertex, false otherwise</returns>
public bool HasPathTo(int destinationVertex)
{
return _distanceTo[destinationVertex] < double.PositiveInfinity;
}
/// <summary>
/// Returns an IEnumerable of DirectedEdges representing a shortest path from the sourceVertex to the specified destinationVertex
/// </summary>
/// <param name="destinationVertex">The destination vertex to find a shortest path to</param>
/// <returns>IEnumerable of DirectedEdges representing a shortest path from the sourceVertex to the specified destinationVertex</returns>
public IEnumerable<DirectedEdge> PathTo(int destinationVertex)
{
if (!HasPathTo(destinationVertex))
{
return null;
}
var path = new Stack<DirectedEdge>();
for (DirectedEdge edge = _edgeTo[destinationVertex]; edge != null; edge = _edgeTo[edge.From])
{
path.Push(edge);
}
return path;
}
// TODO: This method should be private and should be called from the bottom of the constructor
/// <summary>
/// check optimality conditions:
/// </summary>
/// <param name="graph">The edge-weighted directed graph</param>
/// <param name="sourceVertex">The source vertex to check optimality conditions from</param>
/// <returns>True if all optimality conditions are met, false otherwise</returns>
/// <exception cref="ArgumentNullException">Thrown on null EdgeWeightedDigraph</exception>
public bool Check(EdgeWeightedDigraph graph, int sourceVertex)
{
if (graph == null)
{
throw new ArgumentNullException("graph", "EdgeWeightedDigraph cannot be null");
}
if (_distanceTo[sourceVertex] != 0.0 || _edgeTo[sourceVertex] != null)
{
return false;
}
for (int v = 0; v < graph.NumberOfVertices; v++)
{
if (v == sourceVertex)
{
continue;
}
if (_edgeTo[v] == null && _distanceTo[v] != double.PositiveInfinity)
{
return false;
}
}
for (int v = 0; v < graph.NumberOfVertices; v++)
{
foreach (DirectedEdge edge in graph.Adjacent(v))
{
uint w = edge.To;
if (_distanceTo[v] + edge.Weight < _distanceTo[w])
{
return false;
}
}
}
for (int w = 0; w < graph.NumberOfVertices; w++)
{
if (_edgeTo[w] == null)
{
continue;
}
DirectedEdge edge = _edgeTo[w];
uint v = edge.From;
if (w != edge.To)
{
return false;
}
if (_distanceTo[v] + edge.Weight != _distanceTo[w])
{
return false;
}
}
return true;
}
}
}