public PodMove[] GetMoves(State state, Countdown countdown)
{
ExplainedScore bestScore = double.NegativeInfinity;
PodMove[] bestMoves = null;
var possibleTargets = state.Checkpoints;
var possibleThrusts = new[] { Constants.MaxThrust, 0 };
foreach (var target0 in possibleTargets)
{
foreach (var target1 in possibleTargets)
{
foreach (int thrust0 in possibleThrusts)
{
foreach (int thrust1 in possibleThrusts)
{
/*
* Simulate timeToSimulate ticks, with i-th pod targets to target_i with thrust_i.
* Select the best option.
*
* Explore the different meanings of the «best». Compare different meanings with the test SingleTargetAi_Should.MovePodToTarget.
*/
}
}
}
}
return(bestMoves);
}
public void CalculateNextMove()
{
var state = new StateReader("...0...|..000..|.00000.|0000000|.00000.|..000..|...0...|3 2|5 2|-1 -1|-1 -1|")
.ReadState(new InitializationData(7, 2));
var evaluator = new StateEvaluator();
var action = new GreedyAi(evaluator).GetAction(state, 100);
ExplainedScore score = null;
using (new MoveAndBuildAction(0, Direction.N, Direction.N).ApplyTo(state))
score = evaluator.Evaluate(state, 0);
using (action.ApplyTo(state))
evaluator.Evaluate(state, 0).Should().BeGreaterOrEqualTo(score);
}
public static Scored <TObject> WithScore <TObject>(this TObject obj, ExplainedScore score) => new Scored <TObject>(obj, score);