/// <summary>
/// Collects types decorated with <see cref="AddToServicesAttribute"/> and user the <paramref name="applier"/> to apply it.
/// </summary>
/// <param name="applier">The applier to use.</param>
/// <param name="tag">The tag to collect.</param>
/// <exception cref="System.ArgumentNullException"><paramref name="applier"/> is null.</exception>
public void Collect(IApplier applier, string tag = null)
{
if (applier == null)
{
throw new ArgumentNullException(nameof(applier));
}
var implementations = Assemblies
.SelectMany(a => a.ExportedTypes)
.Where(t =>
t.GetTypeInfo()
.CustomAttributes
.Any(cd => cd.AttributeType == typeof(AddToServicesAttribute)));
foreach (var implementation in implementations)
{
var attributes = implementation.GetTypeInfo().GetCustomAttributes <AddToServicesAttribute>();
foreach (var attribute in attributes)
{
if ((attribute.InternalTags == null && tag != null) ||
(attribute.InternalTags != null && tag == null) ||
(attribute.InternalTags != null && tag != null && !attribute.InternalTags.Any(
t => t.Equals(tag, StringComparison.OrdinalIgnoreCase))))
{
continue;
}
var context = new ApplierContext(implementation, attribute);
applier.Apply(context);
}
}
}
/// <summary>
/// Creates a minimax average algorithm object.
/// </summary>
/// <param name="evaluator">The evaluator for the nodes.</param>
/// <param name="moveGenerator">The move generator for the nodes.</param>
/// <param name="applier">The move applier for the moves.</param>
public MinimaxAverageAlgorithm(IEvaluator <TState> evaluator, IGenerator <TState, TMove> moveGenerator, IApplier <TState, TMove> applier)
{
Evaluator = evaluator;
MoveGenerator = moveGenerator;
MoveApplier = applier;
MaxDepthInnerValue = 3;
}
/// <summary>
/// Collects types decorated with <see cref="AddToServicesAttribute"/> and user the <paramref name="applier"/> to apply it.
/// </summary>
/// <param name="applier">The applier to use.</param>
/// <param name="tag">The tag to collect.</param>
/// <exception cref="ArgumentNullException"><paramref name="applier"/> is null.</exception>
public void Collect(IApplier applier, string tag = null)
{
if (applier == null)
{
throw new ArgumentNullException(nameof(applier));
}
var pairs = _provider.GetAttributes();
foreach (var pair in pairs)
{
var implementation = pair.Implementation;
var attributes = pair.Attributes;
foreach (var attribute in attributes)
{
if ((attribute.InternalTags == null && tag != null) ||
(attribute.InternalTags != null && tag == null) ||
(attribute.InternalTags != null && tag != null && !attribute.InternalTags.Any(
t => t.Equals(tag, StringComparison.OrdinalIgnoreCase))))
{
continue;
}
var service = ValidateService(implementation, attribute);
var context = new ApplierContext(service, implementation, attribute.ForwardTo, attribute.Lifetime);
applier.Apply(context);
}
}
}
public AlphaBetaAlgorithm(IEvaluator <TState> evaluator, IGenerator <TState, TMove> moveGenerator,
IApplier <TState, TMove> applier)
{
_evaluator = evaluator;
_moveGenerator = moveGenerator;
_moveApplier = applier;
_maxDepth = 3;
}
public GreedyAlgorithm(IEvaluator <TState> evaluator, IGenerator <TState, TMove> moveGenerator, IApplier <TState, TMove> applier)
{
_evaluator = evaluator;
_moveGenerator = moveGenerator;
_moveApplier = applier;
}
/// <summary>
/// Creates a minimax algorithm object.
/// (Which is the same as hte minimax average with the number of nodes average calculations set to 1.
/// </summary>
/// <param name="evaluator">The evaluator for the nodes.</param>
/// <param name="moveGenerator">The move generator for the nodes.</param>
/// <param name="applier">The move applier for the moves.</param>
public MinimaxAlgorithm(IEvaluator <TState> evaluator, IGenerator <TState, TMove> moveGenerator, IApplier <TState, TMove> applier)
: base(evaluator, moveGenerator, applier)
{
MaxLevelAverageDepthInnerValue = 1;
MinLevelAverageDepthInnerValue = 1;
}
public MainForm()
{
game = new ChessRepresentationInitializer().Create();
_mechanism = new ChessMechanism(true);
_evaluator = new Evaluator(_mechanism);
_generator = new MoveGenerator(_mechanism);
_applier = new MoveApplier(_mechanism);
taskRight = new Task(() =>
{
do
{
if (!_isActive || _mechanism.GetGameState(game) != GameState.InProgress)
{
InvokeIfRequired(progressbarBotActiveRight, () =>
{
progressbarBotActiveRight.MarqueeAnimationSpeed = 0;
});
// Not doing anything, checking in every second...
Thread.Sleep(1000);
continue;
}
InvokeIfRequired(progressbarBotActiveRight, () =>
{
if (progressbarBotActiveRight.MarqueeAnimationSpeed != 10)
{
progressbarBotActiveRight.MarqueeAnimationSpeed = 10;
}
});
DoRobotWork(ChessPlayer.White);
Thread.Sleep(1000);
} while (true);
});
taskLeft = new Task(() =>
{
do
{
if (!_isActive || _mechanism.GetGameState(game) != GameState.InProgress)
{
InvokeIfRequired(progressbarBotActiveLeft, () =>
{
progressbarBotActiveLeft.MarqueeAnimationSpeed = 0;
});
// Not doing anything, checking in every second...
Thread.Sleep(1000);
continue;
}
InvokeIfRequired(progressbarBotActiveLeft, () =>
{
if (progressbarBotActiveLeft.MarqueeAnimationSpeed != 10)
{
progressbarBotActiveLeft.MarqueeAnimationSpeed = 10;
}
});
DoRobotWork(ChessPlayer.Black);
Thread.Sleep(1000);
} while (true);
});
InitializeComponent();
listboxAlgorithmsRight.Items.Add(Algorithms.Minimax);
listboxAlgorithmsRight.Items.Add(Algorithms.MinimaxAverage);
listboxAlgorithmsRight.Items.Add(Algorithms.AlphaBeta);
listboxAlgorithmsRight.Items.Add(Algorithms.Greedy);
listboxAlgorithmsRight.Items.Add(Algorithms.Random);
listboxAlgorithmsRight.SelectedIndex = Randomizer.Next(0, listboxAlgorithmsRight.Items.Count - 1);
listboxAlgorithmsLeft.Items.Add(Algorithms.Minimax);
listboxAlgorithmsLeft.Items.Add(Algorithms.MinimaxAverage);
listboxAlgorithmsLeft.Items.Add(Algorithms.AlphaBeta);
listboxAlgorithmsLeft.Items.Add(Algorithms.Greedy);
listboxAlgorithmsLeft.Items.Add(Algorithms.Random);
listboxAlgorithmsLeft.SelectedIndex = Randomizer.Next(0, listboxAlgorithmsLeft.Items.Count - 1);
chessBoardVisualizerPanel1.ChessRepresentation = game;
chessBoardVisualizerPanel1.Refresh();
taskLeft.Start();
taskRight.Start();
}
