astar

astar

Package astar implements the A* search algorithm for finding least-cost paths.

Examples

In order to use the astar.FindPath function to find the least-cost path between two nodes of a graph you need a graph data structure that implements the Neighbours method to satisfy the astar.Graph[Node] interface and a cost function. It is up to you how the graph is internally implemented.

A maze

In this example the graph is represented by a slice of strings, each character representing a cell of a floor plan. Graph nodes are cell positions as image.Point values, with (0, 0) in the upper left corner. Spaces represent free cells available for walking, other characters like # represent walls. The Neighbours method returns the positions of the adjacent free cells to the north, east, south, and west of a given position (diagonal movement is not allowed in this example).

The cost function nodeDist simply calculates the Euclidean distance between two cell positions.

package main

import (
	"fmt"
	"image"
	"iter"
	"math"

	"github.com/juvenilearcha/astar"
)

func main() {
	maze := floorPlan{
		"###############",
		"#   # #     # #",
		"# ### ### ### #",
		"#   # # #   # #",
		"### # # # ### #",
		"# # #         #",
		"# # ### ### ###",
		"#   # # # #   #",
		"### # # # # ###",
		"# #       # # #",
		"# # ######### #",
		"#         #   #",
		"# ### # # ### #",
		"#   # # #     #",
		"###############",
	}
	start := image.Pt(1, 13) // Bottom left corner
	dest := image.Pt(13, 1)  // Top right corner

	// Find the shortest path
	path := astar.FindPath[image.Point](maze, start, dest, nodeDist, nodeDist)

	// Mark the path with dots before printing
	for _, p := range path {
		maze.put(p, '.')
	}
	maze.print()
}

// nodeDist is our cost function. We use points as nodes, so we
// calculate their Euclidean distance.
func nodeDist(p, q image.Point) float64 {
	d := q.Sub(p)
	return math.Sqrt(float64(d.X*d.X + d.Y*d.Y))
}

type floorPlan []string

var offsets = [...]image.Point{
	image.Pt(0, -1), // North
	image.Pt(1, 0),  // East
	image.Pt(0, 1),  // South
	image.Pt(-1, 0), // West
}

// Neighbours implements the astar.Graph[Node] interface (with Node = image.Point).
func (f floorPlan) Neighbours(p image.Point) iter.Seq[image.Point] {
	return func(yield func(image.Point) bool) {
		for _, off := range offsets {
			q := p.Add(off)
			if f.isFreeAt(q) {
				if !yield(q) {
					return
				}
			}
		}
	}
}

func (f floorPlan) isFreeAt(p image.Point) bool {
	return f.isInBounds(p) && f[p.Y][p.X] == ' '
}

func (f floorPlan) isInBounds(p image.Point) bool {
	return (0 <= p.X && p.X < len(f[p.Y])) && (0 <= p.Y && p.Y < len(f))
}

func (f floorPlan) put(p image.Point, c rune) {
	f[p.Y] = f[p.Y][:p.X] + string(c) + f[p.Y][p.X+1:]
}

func (f floorPlan) print() {
	for _, row := range f {
		fmt.Println(row)
	}
}

Output:

###############
#   # #     #.#
# ### ### ###.#
#   # # #   #.#
### # # # ###.#
# # #  .......#
# # ###.### ###
#   # #.# #   #
### # #.# # ###
# #.....  # # #
# #.######### #
#...      #   #
#.### # # ### #
#.  # # #     #
###############

2D points as nodes

In this example the graph is represented by an adjacency list. Nodes are 2D points in Euclidean space as image.Point values. The link function creates a bi-directed edge between a pair of nodes.

The cost function nodeDist calculates the Euclidean distance between two points (nodes).

package main

import (
	"fmt"
	"image"
	"iter"
	"math"
	"slices"

	"github.com/juvenilearcha/astar"
)

func main() { 
	// Create a graph with 2D points as nodes
	p1 := image.Pt(3, 1)
	p2 := image.Pt(1, 2)
	p3 := image.Pt(2, 4)
	p4 := image.Pt(4, 5)
	p5 := image.Pt(4, 3)
	p6 := image.Pt(5, 1)
	p7 := image.Pt(8, 4)
	p8 := image.Pt(8, 3)
	p9 := image.Pt(6, 3)
	g := newGraph[image.Point]().
		link(p1, p2).link(p1, p3).
		link(p2, p3).link(p2, p4).
		link(p3, p4).link(p3, p5).
		link(p4, p6).link(p4, p7).
		link(p5, p7).
		link(p6, p9).
		link(p7, p8).
		link(p8, p9)

	// Find the shortest path from p1 to p9
	p := astar.FindPath[image.Point](g, p1, p9, nodeDist, nodeDist)

	// Output the result
	if p == nil {
		fmt.Println("No path found.")
		return
	}
	for i, n := range p {
		fmt.Printf("%d: %s\n", i, n)
	}
}

// nodeDist is our cost function. We use points as nodes, so we
// calculate their Euclidean distance.
func nodeDist(p, q image.Point) float64 {
	d := q.Sub(p)
	return math.Sqrt(float64(d.X*d.X + d.Y*d.Y))
}

// graph is represented by an adjacency list.
type graph[Node comparable] map[Node][]Node

func newGraph[Node comparable]() graph[Node] {
	return make(map[Node][]Node)
}

// link creates a bi-directed edge between nodes a and b.
func (g graph[Node]) link(a, b Node) graph[Node] {
	g[a] = append(g[a], b)
	g[b] = append(g[b], a)
	return g
}

// Neighbours returns the neighbour nodes of node n in the graph.
func (g graph[Node]) Neighbours(n Node) iter.Seq[Node] {
	return slices.Values(g[n])
}

Output:

0: (3,1)
1: (2,4)
2: (4,5)
3: (5,1)
4: (6,3)

License

This project is free and open source software licensed under the BSD 3-Clause License.