示例#1
0
        public (int index, List <GridPos> list) PathToShortest(int startX, int startY, MapGrid mapGrid, List <GridPos> path)
        {
            foreach (var paths in ToPath)
            {
                if (paths.Any(t => t.XPos == startX && t.YPos == startY))
                {
                    return(paths.IndexOf(paths.First(t => t.XPos == startX && t.YPos == startY)), paths);
                }
            }
            LinkedList <GridPos>      toReturn   = new LinkedList <GridPos>();
            Queue <GridPos>           gridPos    = new Queue <GridPos>();
            Dictionary <string, bool> visitedDic = new Dictionary <string, bool>();

            visitedDic.Add(startX + "" + startY, true);
            gridPos.Enqueue(new GridPos(startX, startY, true, null));
            do
            {
                var currentPiece = gridPos.Dequeue();
                for (int x = 0; x < 4; x++)
                {
                    int tempX = currentPiece.XPos + 1;
                    int tempY = currentPiece.YPos;

                    if (x == 1)
                    {
                        tempX -= 2;
                    }
                    else if (x == 2)
                    {
                        tempX -= 1;
                        tempY += 1;
                    }
                    else if (x == 3)
                    {
                        tempX -= 1;
                        tempY -= 1;
                    }

                    //if you can't enqueue then go to the next
                    if (!CanEnqueue(tempX, tempY, mapGrid, visitedDic))
                    {
                        continue;
                    }

                    visitedDic.Add(tempX + "" + tempY, true);
                    var toBeQueued = new GridPos(tempX, tempY, true, currentPiece);
                    gridPos.Enqueue(toBeQueued);

                    //If this is true then we have reached the end and we can confidently say we have found the shortest path!
                    if (path.Any(t => t.XPos == tempX && t.YPos == tempY))
                    {
                        var  toAddToPath = new GridPos(toBeQueued);
                        bool done        = false;
                        do
                        {
                            toReturn.AddFirst(toAddToPath);
                            if (toAddToPath.Previous != null)
                            {
                                toAddToPath = new GridPos(toAddToPath.Previous);
                            }
                            else
                            {
                                var last        = toReturn.Last();
                                var indexOfLast = path.FindIndex(t => t.XPos == last.XPos && t.YPos == last.YPos);
                                for (int i = indexOfLast + 1; i < path.Count; i++)
                                {
                                    toReturn.AddLast(path[i]);
                                }
                                done = true;
                            }
                        } while (done != true);


                        var toReturnList = toReturn.ToList();
                        ToPath.Add(toReturnList);
                        return(0, toReturnList);
                    }
                }
            } while (gridPos.Count > 0);

            return(0, null);
        }
示例#2
0
        /// <summary>
        /// performs a breadth first search
        /// </summary>
        /// <param name="mapGrid"></param>
        /// <returns></returns>
        public LinkedList <GridPos> CalculateShortestPath(MapGrid mapGrid, int startX, int startY, int endX, int endY)
        {
            ToPath = new List <List <GridPos> >();
            var                       pathToReturn = new LinkedList <GridPos>();
            Queue <GridPos>           gridPos      = new Queue <GridPos>();
            Dictionary <string, bool> visitedDic   = new Dictionary <string, bool>();

            visitedDic.Add(startX + "" + startY, true);
            gridPos.Enqueue(new GridPos(startX, startY, true, null));
            do
            {
                var currentPiece = gridPos.Dequeue();
                for (int x = 0; x < 4; x++)
                {
                    int tempX = currentPiece.XPos + 1;
                    int tempY = currentPiece.YPos;

                    if (x == 1)
                    {
                        tempX -= 2;
                    }
                    else if (x == 2)
                    {
                        tempX -= 1;
                        tempY += 1;
                    }
                    else if (x == 3)
                    {
                        tempX -= 1;
                        tempY -= 1;
                    }

                    //if you can't enqueue then go to the next
                    if (!CanEnqueue(tempX, tempY, mapGrid, visitedDic))
                    {
                        continue;
                    }

                    visitedDic.Add(tempX + "" + tempY, true);
                    var toBeQueued = new GridPos(tempX, tempY, true, currentPiece);
                    gridPos.Enqueue(toBeQueued);

                    //If this is true then we have reached the end and we can confidently say we have found the shortest path!
                    if (tempX == endX && tempY == endY)
                    {
                        var toAddToPath = new GridPos(toBeQueued);
                        do
                        {
                            pathToReturn.AddFirst(toAddToPath);
                            if (toAddToPath.Previous != null)
                            {
                                toAddToPath = new GridPos(toAddToPath.Previous);
                            }
                            else
                            {
                                toAddToPath = null;
                            }
                        } while (toAddToPath != null);

                        return(pathToReturn);
                    }
                }
            } while (gridPos.Count > 0);

            return(null);
        }