oops, that was a bit expensive
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@@ -60,7 +60,7 @@ namespace OpenRa.Game
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using (new PerfSample("find_path_to_path"))
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{
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var cellInfo = InitCellInfo();
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CellInfo[,] cellInfo = null;// var cellInfo = InitCellInfo();
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var queue = new PriorityQueue<PathDistance>();
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var estimator = DefaultEstimator(from);
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@@ -72,12 +72,16 @@ namespace OpenRa.Game
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if ( /*i == 0 || */(Game.BuildingInfluence.CanMoveHere(path[i]) && Game.UnitInfluence.GetUnitAt(path[i]) == null))
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{
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queue.Add(new PathDistance(estimator(sl), sl));
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if (cellInfo == null)
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cellInfo = InitCellInfo();
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cellInfo[sl.X, sl.Y] = new CellInfo(cost, prev, false);
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}
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var d = sl - prev;
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cost += ((d.X * d.Y != 0) ? 1.414213563 : 1.0) * passableCost[(int)umt][sl.X, sl.Y];
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prev = sl;
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}
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if (queue.Empty) return new List<int2>();
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var ret = FindPath(cellInfo, queue, estimator, umt, true);
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ret.Reverse();
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Game.PathToPathTime += sw.ElapsedTime();
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@@ -107,48 +111,50 @@ namespace OpenRa.Game
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List<int2> FindPath( CellInfo[ , ] cellInfo, PriorityQueue<PathDistance> queue, Func<int2, double> estimator, UnitMovementType umt, bool checkForBlock )
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{
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while( !queue.Empty )
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using (new PerfSample("find_path_inner"))
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{
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while (!queue.Empty)
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{
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PathDistance p = queue.Pop();
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int2 here = p.Location;
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cellInfo[ here.X, here.Y ].Seen = true;
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cellInfo[here.X, here.Y].Seen = true;
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if( estimator( here ) == 0.0 )
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return MakePath( cellInfo, here );
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if (estimator(here) == 0.0)
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return MakePath(cellInfo, here);
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foreach( int2 d in Util.directions )
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foreach (int2 d in Util.directions)
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{
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int2 newHere = here + d;
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if( cellInfo[ newHere.X, newHere.Y ].Seen )
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if (cellInfo[newHere.X, newHere.Y].Seen)
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continue;
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if( passableCost[(int)umt][ newHere.X, newHere.Y ] == double.PositiveInfinity )
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if (passableCost[(int)umt][newHere.X, newHere.Y] == double.PositiveInfinity)
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continue;
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if (!Game.BuildingInfluence.CanMoveHere(newHere))
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continue;
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if( checkForBlock && Game.UnitInfluence.GetUnitAt( newHere ) != null )
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if (checkForBlock && Game.UnitInfluence.GetUnitAt(newHere) != null)
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continue;
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var est = estimator( newHere );
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if( est == double.PositiveInfinity )
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var est = estimator(newHere);
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if (est == double.PositiveInfinity)
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continue;
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double cellCost = ( ( d.X * d.Y != 0 ) ? 1.414213563 : 1.0 ) * passableCost[(int)umt][ newHere.X, newHere.Y ];
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double newCost = cellInfo[ here.X, here.Y ].MinCost + cellCost;
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double cellCost = ((d.X * d.Y != 0) ? 1.414213563 : 1.0) * passableCost[(int)umt][newHere.X, newHere.Y];
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double newCost = cellInfo[here.X, here.Y].MinCost + cellCost;
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if( newCost >= cellInfo[ newHere.X, newHere.Y ].MinCost )
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if (newCost >= cellInfo[newHere.X, newHere.Y].MinCost)
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continue;
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cellInfo[ newHere.X, newHere.Y ].Path = here;
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cellInfo[ newHere.X, newHere.Y ].MinCost = newCost;
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cellInfo[newHere.X, newHere.Y].Path = here;
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cellInfo[newHere.X, newHere.Y].MinCost = newCost;
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queue.Add( new PathDistance( newCost + est, newHere ) );
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queue.Add(new PathDistance(newCost + est, newHere));
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}
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}
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// no path exists
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return new List<int2>();
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}
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}
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static CellInfo[ , ] InitCellInfo()
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{
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