a_star 2.0.0 a_star: ^2.0.0 copied to clipboard
A comprehensive A* algorithm. Suitable for anything from physical grids to abstract search spaces.
// ignore_for_file: avoid_print
import "dart:math";
import "package:a_star/a_star.dart";
class CoordinatesState extends AStarState<CoordinatesState> {
final int x;
final int y;
final int goalX;
final int goalY;
final String? direction;
CoordinatesState(this.x, this.y, this.goalX, this.goalY, {this.direction});
Iterable<CoordinatesState> getNeighbors() => [
CoordinatesState(x, y + 1, goalX, goalY, direction: "up"),
CoordinatesState(x, y - 1, goalX, goalY, direction: "down"),
CoordinatesState(x + 1, y, goalX, goalY, direction: "right"),
CoordinatesState(x - 1, y, goalX, goalY, direction: "left"),
];
bool get isValid => true;
@override
Iterable<CoordinatesState> expand() => [
for (final neighbor in getNeighbors())
if (neighbor.isValid)
neighbor,
];
@override
double heuristic() => sqrt(pow(goalX - x, 2) + pow(goalY - y, 2));
@override
bool isGoal() => x == goalX && y == goalY;
@override
String hash() => "($x, $y)";
}
void main() {
final start = CoordinatesState(0, 0, 10, 10);
final result = aStar(start);
if (result == null) {
print("Could not find a path");
return;
}
final path = result.reconstructPath();
for (final intermediate in path) {
if (intermediate.direction == null) {
print("Start at ${intermediate.hash()}");
} else {
print("Go ${intermediate.direction} to ${intermediate.hash()}");
}
}
}