/// <summary>
/// This function initializes the map's search tiles
/// Precondition:
/// </summary>
private void InitSearchNodes(int[,] map, EntityManager manager)
{
searchNodes = new SearchNode[mapWidth, mapHeight];
for (int x = 0; x < mapWidth; x++)
{
for (int y = 0; y < mapHeight; y++)
{
SearchNode node = new SearchNode();
node.Position = new Vector2(x, y);
// heuristic for "is this node walkable?"
Grid grid = (Grid)manager.RetrieveEntity(map[x, y]);
if (grid.IsWalkable == true)
{
node.Walkable = true;
}
else
{
node.Walkable = false;
}
//node.Walkable = true;
if (node.Walkable == true)
{
node.Neighbors = new SearchNode[4];
searchNodes[x, y] = node;
}
}
}
// Now, connect each search node to its neighbor
for (int x = 0; x < mapWidth; x++)
{
for (int y = 0; y < mapHeight; y++)
{
SearchNode node = searchNodes[x, y];
// Only look at the nodes that are walkable
if (node == null || node.Walkable == false)
{
continue;
}
Vector2[] neighbors = new Vector2[]
{
new Vector2(x, y - 1), // The node above the current node
new Vector2(x, y + 1), // The node below the current node
new Vector2(x - 1, y), // The node to the left of the current node
new Vector2(x + 1, y), // The node to the right of the current node
};
// Loop through all the neighbors
for (int i = 0; i < neighbors.Length; i++)
{
Vector2 position = neighbors[i];
// Make sure this neighbor is part of the level
if (position.X < 0
|| position.X > mapWidth - 1
|| position.Y < 0
|| position.Y > mapHeight - 1)
{
continue;
}
SearchNode neighbor = searchNodes[(int)position.X, (int)position.Y];
// Again, only care about the nodes that can be walked on
if (neighbor == null || neighbor.Walkable == false)
{
continue;
}
// And finally, store a reference to the neighbor itself
node.Neighbors[i] = neighbor;
}
}
}
}
/// <summary>
/// Find the actual path, from start to end
/// </summary>
/// <param name="start"></param>
/// <param name="end"></param>
/// <returns></returns>
public List <Vector2> FindOptimalPath(Vector2 start, Vector2 end)
{
//Vector2 start = new Vector2((int)(source.sprite.X / 64), (int)(source.sprite.X / 64));
//Vector2 end = new Vector2((int)(target.sprite.X / 64), (int)(target.sprite.X / 64));
// if the first and last nodes are the same, the path is irrelevant
if (start == end)
{
return(new List <Vector2>());
}
// Start by clearing the open and closed lists, resetting state of every node
ResetNodes();
SearchNode startNode = searchNodes[(int)start.X, (int)start.Y];
SearchNode endNode = searchNodes[(int)end.X, (int)end.Y];
// set the start node's weight (distance travelled) to 0
// set the start node's distance to goal as the distance between start and end
startNode.InOpenList = true;
startNode.DistanceToGoal = GetManhattanDistance(start, end);
startNode.DistanceTraveled = 0;
openList.Add(startNode);
// while there are nodes to search in the openlist, loop through
// the open list and find the node that has the smallest distance to goal
while (openList.Count > 0)
{
SearchNode current = FindBestNode();
// if the open list is empty, or no node could be found, no path can be
// found so terminate and handle it
if (current == null)
{
break;
}
// if current is the goal node, find and return the path.
if (current == endNode)
{
// find path back to the start
return(FindPath(startNode, endNode));
}
// loop through each of current's neighbors
for (int i = 0; i < current.Neighbors.Length; i++)
{
SearchNode neighbor = current.Neighbors[i];
// make sure the neighbor is walkable
if (neighbor == null || neighbor.Walkable == false)
{
continue;
}
// get a new distancetravelled value for the neighbor
float distance = current.DistanceTraveled + 1;
// find distance between this node and the end
float manhattanDistance = GetManhattanDistance(neighbor.Position, end);
// if the neighbor is not in the open or closed list
if (neighbor.InOpenList == false && neighbor.InClosedList == false)
{
// set the neighbor's distancetravelled value to the one just calculated
neighbor.DistanceTraveled = distance;
// set the neighbor's distancetogoal to the new distance plus the distance
// between the neighbor and the goal
neighbor.DistanceToGoal = distance + manhattanDistance;
// set the neighbor's parent to current
neighbor.Parent = current;
// add the neighbor to openlist
neighbor.Parent = current;
neighbor.InOpenList = true;
openList.Add(neighbor);
}
// else if the neighbor is in either the open or closed lists
else if (neighbor.InOpenList == true || neighbor.InClosedList == true)
{
// if the calculated distance to goal is less than the neighbor's
// distance to goal, assign new distance to goal and distance travelled
// to the neighbor, but do not add it to the open or closed list; it already
// exists in one
if (neighbor.DistanceTraveled > distance)
{
neighbor.DistanceTraveled = distance;
neighbor.DistanceToGoal = distance + manhattanDistance;
neighbor.Parent = current;
}
}
}
// remove current node from the open list, and move it to closed; its already been searched
openList.Remove(current);
current.InClosedList = true;
}
// no node was found, return empty list
return(new List <Vector2>());
}
/// <summary>
/// Using the parent nodes, find a path from the end to the start
/// </summary>
/// <param name="start"></param>
/// <param name="end"></param>
/// <returns></returns>
private List<Vector2> FindPath(SearchNode start, SearchNode end)
{
closedList.Add(end);
SearchNode parent = end.Parent;
// go back through the path using node.Parent to find the path
while (parent != start)
{
closedList.Add(parent);
parent = parent.Parent;
}
List<Vector2> path = new List<Vector2>();
// reverse the path, transform into points(grids)
for (int i = closedList.Count - 1; i >= 0; i--)
{
path.Add(new Vector2((closedList[i].Position.X * 32)+offset.X, (closedList[i].Position.Y * 32)+offset.Y)); //<--------------------------------------------------Change 32 to global variables
}
return path;
}
/// <summary>
/// This function initializes the map's search tiles
/// Precondition:
/// </summary>
private void InitSearchNodes(int[,] map, EntityManager manager)
{
searchNodes = new SearchNode[mapWidth, mapHeight];
for (int x = 0; x < mapWidth; x++)
{
for (int y = 0; y < mapHeight; y++)
{
SearchNode node = new SearchNode();
node.Position = new Vector2(x, y);
// heuristic for "is this node walkable?"
Grid grid = (Grid)manager.RetrieveEntity(map[x, y]);
if (grid.IsWalkable == true)
{
node.Walkable = true;
}
else
{
node.Walkable = false;
}
//node.Walkable = true;
if (node.Walkable == true)
{
node.Neighbors = new SearchNode[4];
searchNodes[x, y] = node;
}
}
}
// Now, connect each search node to its neighbor
for (int x = 0; x < mapWidth; x++)
{
for (int y = 0; y < mapHeight; y++)
{
SearchNode node = searchNodes[x, y];
// Only look at the nodes that are walkable
if (node == null || node.Walkable == false)
{
continue;
}
Vector2[] neighbors = new Vector2[]
{
new Vector2(x, y - 1), // The node above the current node
new Vector2(x, y + 1), // The node below the current node
new Vector2(x - 1, y), // The node to the left of the current node
new Vector2(x + 1, y), // The node to the right of the current node
};
// Loop through all the neighbors
for (int i = 0; i < neighbors.Length; i++)
{
Vector2 position = neighbors[i];
// Make sure this neighbor is part of the level
if (position.X < 0 ||
position.X > mapWidth - 1 ||
position.Y < 0 ||
position.Y > mapHeight - 1)
{
continue;
}
SearchNode neighbor = searchNodes[(int)position.X, (int)position.Y];
// Again, only care about the nodes that can be walked on
if (neighbor == null || neighbor.Walkable == false)
{
continue;
}
// And finally, store a reference to the neighbor itself
node.Neighbors[i] = neighbor;
}
}
}
}
