Unity C# implementation of A* algorithm

Astar.cs

/*
Unity C# Port of Andrea Giammarchi's JavaScript A* algorithm (http://devpro.it/javascript_id_137.html)

Usage:

0 = walkable;
1 = wall;
 
int[][] map = new int[][]
{
    new int[] {0, 0, 1, 0, 0 },
    new int[] {0, 0, 1, 0, 0 },
    new int[] {0, 0, 1, 0, 0 },
    new int[] {0, 0, 0, 0, 0 },
};

Vector2Int start = new Vector2Int
{
    x = 0,
    y = 0,
};

Vector2Int end = new Vector2Int
{
    x = 4,
    y = 3,
};

List<Vector2Int> result = new Astar(Astar.ConvertToBoolArray(map), start, end).Result;
*/

using System;
using System.Collections.Generic;
using UnityEngine;

public class Astar
{
    public List<Vector2Int> Result { private set; get; }

    private delegate Node[] Find(bool bN, bool bS, bool bE, bool bW, int N, int S, int E, int W, bool[][] grid, int rows, int cols, Node[] result, int i);
    private delegate double Distance(Node start, Node end);

    private readonly Find m_Find;

    public enum Type
    {
        Manhattan,
        Diagonal,
        DiagonalFree,
        Euclidean,
        EuclideanFree
    }

    private class Node
    {
        public int x;
        public int y;
        public Node p;
        public double g;
        public double f;
        public int v;

        public Node(int x, int y)
        {
            this.x = x;
            this.y = y;
        }
    }

    private Node[] DiagonalSuccessors(bool bN, bool bS, bool bE, bool bW, int N, int S, int E, int W, bool[][] grid, int rows, int cols, Node[] result, int i)
    {
        if (bN)
        {
            if (bE && !grid[N][E])
            {
                result[i++] = new Node(E, N);
            }
            if (bW && !grid[N][W])
            {
                result[i++] = new Node(W, N);
            }
        }
        if (bS)
        {
            if (bE && !grid[S][E])
            {
                result[i++] = new Node(E, S);
            }
            if (bW && !grid[S][W])
            {
                result[i++] = new Node(W, S);
            }
        }
        return result;
    }

    private Node[] DiagonalSuccessorsFree(bool bN, bool bS, bool bE, bool bW, int N, int S, int E, int W, bool[][] grid, int rows, int cols, Node[] result, int i)
    {
        bN = N > -1;
        bS = S < rows;
        bE = E < cols;
        bW = W > -1;

        if (bE)
        {
            if (bN && !grid[N][E])
            {
                result[i++] = new Node(E, N);
            }
            if (bS && !grid[S][E])
            {
                result[i++] = new Node(E, S);
            }
        }
        if (bW)
        {
            if (bN && !grid[N][W])
            {
                result[i++] = new Node(W, N);
            }
            if (bS && !grid[S][W])
            {
                result[i++] = new Node(W, S);
            }
        }
        return result;
    }

    private Node[] NothingToDo(bool bN, bool bS, bool bE, bool bW, int N, int S, int E, int W, bool[][] grid, int rows, int cols, Node[] result, int i)
    {
        return result;
    }

    private Node[] Successors(int x, int y, bool[][] grid, int rows, int cols)
    {
        int N = y - 1;
        int S = y + 1;
        int E = x + 1;
        int W = x - 1;

        bool bN = N > -1 && !grid[N][x];
        bool bS = S < rows && !grid[S][x];
        bool bE = E < cols && !grid[y][E];
        bool bW = W > -1 && !grid[y][W];

        Node[] result = new Node[8];    // fix bug: should be length 8
        int i = 0;

        if (bN)
        {
            result[i++] = new Node(x, N);
        }
        if (bE)
        {
            result[i++] = new Node(E, y);
        }
        if (bS)
        {
            result[i++] = new Node(x, S);
        }
        if (bW)
        {
            result[i++] = new Node(W, y);
        }

        return m_Find(bN, bS, bE, bW, N, S, E, W, grid, rows, cols, result, i);
    }

    private double Diagonal(Node start, Node end)
    {
        return Math.Max(Math.Abs(start.x - end.x), Math.Abs(start.y - end.y));
    }

    private double Euclidean(Node start, Node end)
    {
        var x = start.x - end.x;
        var y = start.y - end.y;

        return Math.Sqrt(x * x + y * y);
    }

    private double Manhattan(Node start, Node end)
    {
        return Math.Abs(start.x - end.x) + Math.Abs(start.y - end.y);
    }

    public static bool[][] ConvertToBoolArray(int[][] grid)
    {
        bool[][] arr = new bool[grid.Length][];

        for (int y = 0; y < grid.Length; y++)
        {
            arr[y] = new bool[grid[0].Length];

            for (int x = 0; x < arr[y].Length; x++)
            {
                arr[y][x] = grid[y][x] == 1;
            }
        }

        return arr;
    }

    public Astar(bool[][] grid, Vector2Int s, Vector2Int e, Type type = Type.Manhattan)
    {
        int cols = grid[0].Length;
        int rows = grid.Length;
        int limit = cols * rows;

        Result = new List<Vector2Int>();

        Dictionary<int, int> list = new Dictionary<int, int>();
        List<Node> open = new List<Node>(new Node[limit]);

        Node node = new Node(s.x, s.y)
        {
            f = 0,
            g = 0,
            v = s.x + s.y * cols
        };

        open.Insert(0, node);

        int length = 1;
        Node adj;

        int i;
        int j;
        double max;
        int min;

        Node current;
        Node[] next;
        Distance distance;

        Node end = new Node(e.x, e.y)
        {
            v = e.x + e.y * cols
        };

        if (type == Type.Diagonal)
        {
            m_Find = DiagonalSuccessors;
            distance = Diagonal;
        }
        else if (type == Type.DiagonalFree)
        {
            m_Find = DiagonalSuccessorsFree;
            distance = Diagonal;
        }
        else if (type == Type.Euclidean)
        {
            m_Find = DiagonalSuccessors;
            distance = Euclidean;
        }
        else if (type == Type.EuclideanFree)
        {
            m_Find = DiagonalSuccessorsFree;
            distance = Euclidean;
        }
        else
        {
            m_Find = NothingToDo;
            distance = Manhattan;
        }

        do
        {
            max = limit;
            min = 0;

            for (i = 0; i < length; i++)
            {
                double f = open[i].f;

                if (f < max)
                {
                    max = f;
                    min = i;
                }
            }

            current = open[min];
            open.RemoveRange(min, 1);

            if (current.v != end.v)
            {
                --length;
                next = Successors(current.x, current.y, grid, rows, cols);

                for (i = 0, j = next.Length; i < j; ++i)
                {
                    if (next[i] == null)
                    {
                        continue;
                    }

                    (adj = next[i]).p = current;
                    adj.f = adj.g = 0;
                    adj.v = adj.x + adj.y * cols;

                    if (!list.ContainsKey(adj.v))
                    {
                        adj.f = (adj.g = current.g + distance(adj, current)) + distance(adj, end);
                        open[length++] = adj;
                        list[adj.v] = 1;
                    }
                }
            }
            else
            {
                i = length = 0;

                do
                {
                    Vector2Int point = new Vector2Int(current.x, current.y);
                    Result.Add(point);
                }
                while ((current = current.p) != null);

                Result.Reverse();
            }
        }
        while (length != 0);
    }
}

Thanks for the quick reply @stylophone!
The problem is that the Astar returns only the best path (as it should) but if we consider the best path as the path with the least turns and not the shortest path then the turn penalty should be added to the Astar itself or am I missing something here?

Thanks for the quick reply @stylophone!
The problem is that the Astar returns only the best path (as it should) but if we consider the best path as the path with the least turns and not the shortest path then the turn penalty should be added to the Astar itself or am I missing something here?

I see...Sorry for I misunderstood the term turn penalty. I think there's something that can be done as pathfinding cost as what Unity's nav pathfinding has done. But I have no idea how to achieve it so far. I think I'll look into it when I'm not too busy..

No problem at all, thanks for the help, it's highly appreciated! I would love to hear from you when you'll have the time to dig into it, I think the right direction for the solution will be adding a high cost for a turn, but also allowing the path-finding algo to re-traverse the node that had a turn on it again (when passed from a different direction).

…

On Wed, Apr 28, 2021 at 4:13 AM stylophone ***@***.***> wrote: ***@***.**** commented on this gist. ------------------------------ Thanks for the quick reply @stylophone <https://github.com/stylophone>! The problem is that the Astar returns only the best path (as it should) but if we consider the best path as the path with the least turns and not the shortest path then the turn penalty should be added to the Astar itself or am I missing something here? I see...Sorry for I misunderstood the term turn penalty. I think there's something that can be done as pathfinding cost as what Unity's nav pathfinding has done. But I have no idea how to achieve it so far. I think I'll look into it when I'm not too busy.. — You are receiving this because you commented. Reply to this email directly, view it on GitHub <https://gist.github.com/3448727#gistcomment-3722444>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AGFUBQED3SOJVQYZO437PU3TK5VMRANCNFSM4IDVFMIQ> .

Hello mate im kinda new to this, how would i implement this into my code so that my enemy uses this to path finding. Thanks!