Files
OpenRA/OpenRA.Game/PathSearch.cs
2010-02-27 21:10:22 +13:00

184 lines
5.4 KiB
C#
Executable File

#region Copyright & License Information
/*
* Copyright 2007,2009,2010 Chris Forbes, Robert Pepperell, Matthew Bowra-Dean, Paul Chote, Alli Witheford.
* This file is part of OpenRA.
*
* OpenRA 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.
*
* OpenRA 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 OpenRA. If not, see <http://www.gnu.org/licenses/>.
*/
#endregion
using System;
using System.Collections.Generic;
using System.Linq;
using OpenRA.FileFormats;
using OpenRA.Traits;
namespace OpenRA
{
public class PathSearch
{
public CellInfo[ , ] cellInfo;
public PriorityQueue<PathDistance> queue;
public Func<int2, float> heuristic;
public UnitMovementType umt;
Func<int2, bool> customBlock;
public bool checkForBlocked;
public Actor ignoreBuilding;
public PathSearch()
{
cellInfo = InitCellInfo();
queue = new PriorityQueue<PathDistance>();
}
public PathSearch WithCustomBlocker(Func<int2, bool> customBlock)
{
this.customBlock = customBlock;
return this;
}
public PathSearch WithIgnoredBuilding(Actor b)
{
ignoreBuilding = b;
return this;
}
public int2 Expand( World world, float[][ , ] passableCost )
{
var p = queue.Pop();
cellInfo[ p.Location.X, p.Location.Y ].Seen = true;
var custom2 = world.customTerrain[p.Location.X, p.Location.Y];
var thisCost = (custom2 != null)
? custom2.GetCost(p.Location, umt)
: passableCost[(int)umt][p.Location.X, p.Location.Y];
if (thisCost == float.PositiveInfinity)
return p.Location;
foreach( int2 d in directions )
{
int2 newHere = p.Location + d;
if (!world.Map.IsInMap(newHere.X, newHere.Y)) continue;
if( cellInfo[ newHere.X, newHere.Y ].Seen )
continue;
var custom = world.customTerrain[newHere.X, newHere.Y];
var costHere = (custom != null) ? custom.GetCost(newHere, umt) : passableCost[(int)umt][newHere.X, newHere.Y];
if (costHere == float.PositiveInfinity)
continue;
if (!world.WorldActor.traits.Get<BuildingInfluence>().CanMoveHere(newHere) &&
world.WorldActor.traits.Get<BuildingInfluence>().GetBuildingAt(newHere) != ignoreBuilding)
continue;
if (world.Map.IsOverlaySolid(newHere))
continue;
// Replicate real-ra behavior of not being able to enter a cell if there is a mixture of crushable and uncrushable units
if (checkForBlocked && (world.WorldActor.traits.Get<UnitInfluence>().GetUnitsAt(newHere).Any(a => !world.IsActorPathableToCrush(a, umt))))
continue;
if (customBlock != null && customBlock(newHere))
continue;
var est = heuristic( newHere );
if( est == float.PositiveInfinity )
continue;
float cellCost = ((d.X * d.Y != 0) ? 1.414213563f : 1.0f) * costHere;
float newCost = cellInfo[ p.Location.X, p.Location.Y ].MinCost + cellCost;
if( newCost >= cellInfo[ newHere.X, newHere.Y ].MinCost )
continue;
cellInfo[ newHere.X, newHere.Y ].Path = p.Location;
cellInfo[ newHere.X, newHere.Y ].MinCost = newCost;
queue.Add( new PathDistance( newCost + est, newHere ) );
}
return p.Location;
}
static readonly int2[] directions =
{
new int2( -1, -1 ),
new int2( -1, 0 ),
new int2( -1, 1 ),
new int2( 0, -1 ),
new int2( 0, 1 ),
new int2( 1, -1 ),
new int2( 1, 0 ),
new int2( 1, 1 ),
};
public void AddInitialCell( World world, int2 location )
{
if (!world.Map.IsInMap(location.X, location.Y))
return;
cellInfo[ location.X, location.Y ] = new CellInfo( 0, location, false );
queue.Add( new PathDistance( heuristic( location ), location ) );
}
public static PathSearch FromPoint( World world, int2 from, int2 target, UnitMovementType umt, bool checkForBlocked )
{
var search = new PathSearch {
heuristic = DefaultEstimator( target ),
umt = umt,
checkForBlocked = checkForBlocked };
search.AddInitialCell( world, from );
return search;
}
public static PathSearch FromPoints(World world, IEnumerable<int2> froms, int2 target, UnitMovementType umt, bool checkForBlocked)
{
var search = new PathSearch
{
heuristic = DefaultEstimator(target),
umt = umt,
checkForBlocked = checkForBlocked
};
foreach (var sl in froms)
search.AddInitialCell(world, sl);
return search;
}
static CellInfo[ , ] InitCellInfo()
{
var cellInfo = new CellInfo[ 128, 128 ];
for( int x = 0 ; x < 128 ; x++ )
for( int y = 0 ; y < 128 ; y++ )
cellInfo[ x, y ] = new CellInfo( float.PositiveInfinity, new int2( x, y ), false );
return cellInfo;
}
public static Func<int2, float> DefaultEstimator( int2 destination )
{
return here =>
{
int2 d = ( here - destination ).Abs();
int diag = Math.Min( d.X, d.Y );
int straight = Math.Abs( d.X - d.Y );
return 1.5f * diag + straight;
};
}
}
}