public void a()
{
var astar = new AStar();
// create a map
//IMap map = new TilingTests(TileType.OCTILE, 10, 10, );
//astar.FindPath()
}
public List<int> PerformSearch(HierarchicalMap map, int startNodeId, int targetNodeId, int level, bool mainSearch)
{
var search = new AStar();
map.SetCurrentLevel(level);
var nodeInfo = map.AbstractGraph.GetNodeInfo(startNodeId);
if (mainSearch)
map.SetCurrentCluster(nodeInfo.Position, map.MaxLevel + 1);
else
map.SetCurrentCluster(nodeInfo.Position, level + 1);
// TODO: This could be perfectly replaced by cached paths in the clusters!
var path = search.FindPath(map, startNodeId, targetNodeId);
if (path.PathCost == -1)
{
// No path found
return new List<int>();
}
var result = path.PathNodes;
result.Reverse();
return result;
}
/// <summary>
/// Adds an edge between two abstract nodes for a given level
/// </summary>
private static void AddEdgesBetweenAbstractNodes(HierarchicalMap map, int absNodeId1, int absNodeId2, int level)
{
if (absNodeId1 == absNodeId2 || !IsValidAbstractNode(map, absNodeId2, level))
return;
var search = new AStar();
var path = search.FindPath(map, absNodeId1, absNodeId2);
if (path.PathCost >= 0)
{
map.AddEdge(absNodeId1, absNodeId2, path.PathCost, level, false);
map.AddEdge(absNodeId2, absNodeId1, path.PathCost, level, false);
}
}
private static List<Position> RegularSearch(ConcreteMap concreteMap)
{
var tilingGraph = concreteMap.Graph;
Func<int, int, Graph<TilingNodeInfo, TilingEdgeInfo>.Node> getNode =
(top, left) => tilingGraph.GetNode(concreteMap.GetNodeIdFromPos(top, left));
// Regular pathfinding
var searcher = new AStar();
var path = searcher.FindPath(concreteMap, getNode(StartPosition.X, StartPosition.Y).NodeId, getNode(EndPosition.X, EndPosition.Y).NodeId);
var path2 = path.PathNodes;
return path2.Select(n => concreteMap.Graph.GetNodeInfo(n).Position).ToList();
}
private void ComputePathBetweenEntrances(EntrancePoint e1, EntrancePoint e2)
{
var start = GetEntrancePositionIndex(e1);
var target = GetEntrancePositionIndex(e2);
var startIdx = e1.EntranceLocalIdx;
var targetIdx = e2.EntranceLocalIdx;
var tuple = Tuple.Create(startIdx, targetIdx);
var invtuple = Tuple.Create(targetIdx, startIdx);
// If a path already existed, or both are the same node, just return
if (this.DistanceCalculated.ContainsKey(tuple) || startIdx == targetIdx)
return;
var search = new AStar();
var path = search.FindPath(SubConcreteMap, start, target);
// TODO: Store the path as well, not only the cost. This will make everything faster!
if (path.PathCost != -1)
{
// Yeah, we are supposing reaching A - B is the same like reaching B - A. Which
// depending on the game this is NOT necessarily true (e.g climbing, downstepping a mountain)
Distances[tuple] = Distances[invtuple] = path.PathCost;
CachedPaths[tuple] = CachedPaths[invtuple] = path.PathNodes;
}
this.DistanceCalculated[tuple] = this.DistanceCalculated[invtuple] = true;
}
public List<int> ComputePath(int start, int target)
{
var search = new AStar();
var path = search.FindPath(SubConcreteMap, target, start);
return path.PathNodes;
}
private List<int> GenerateIntermediateNodes(int nodeid1, int nodeid2)
{
var search = new AStar();
var path = search.FindPath(concreteMap, nodeid1, nodeid2);
return path.PathNodes;
}
