public void Debug() { var stateInput = "...1...|..344..|.44433.|2444443|.41421.|..113..|...0...|5 2|0 3|2 1|3 5|"; var state = StateReader.Read(stateInput); var action = new AlphaBetaAi(evaluator, 1).GetAction(state, 100); Assert.That(action.ToString(), Is.EqualTo("MOVE&BUILD 0 SE SW")); }
public void RunCase(string input) { var state = StateReader.Read(input); var ai = new AlphabetaAi(evaluator); var action = ai.GetAction(state, 45); Console.WriteLine(action); }
public void AssignValueToLastSearchTreeSizeProperty_DuringSearch(int depth, int expectedSize) { var state = StateReader.Read("002|022|200|0 0|1 0|-1 -1|-1 -1|"); var ai = new AlphaBetaAi(evaluator, depth); ai.GetAction(state, 1000); ai.LastSearchTreeSize.Should().Be(expectedSize); }
public void AssignValueToLastDepthFullySearchedProperty_DuringSearch(int depth) { var state = StateReader.Read("00000|00000|00000|00000|00000|1 1|2 3|-1 -1|-1 -1|"); var ai = new AlphaBetaAi(evaluator, depth); ai.GetAction(state, 1000); ai.LastDepthFullySearched.Should().Be(depth); }
public void MeasureSearchTreeSize() { var stateInput = "...2...|..303..|.13033.|0010031|.01412.|..121..|...1...|3 5|5 2|2 2|5 4|"; var state = StateReader.Read(stateInput); new AlphaBetaAi(evaluator).GetAction(state, 1); // heat up var ai = new AlphaBetaAi(evaluator, 3); ai.GetAction(state, 3000); // measure Console.WriteLine($"SearchTreeSize: {ai.LastSearchTreeSize}"); }
public void AbWithDepth1_IsSameAsGreedy(string input) { var state = StateReader.Read(input); var initialStateDump = state.ToString(); var greedyAction = new GreedyAi(evaluator).GetAction(state, 100); var abAction = new AlphabetaAi(evaluator, 1).GetAction(state, 100); Console.WriteLine(state.ToString()); Console.WriteLine(abAction); state.ToString().Should().Be(initialStateDump, "ai.GetAction should not change state"); abAction.ToString().Should().Be(greedyAction.ToString(), "ab-ai with depth=1 should be exactly gready ai"); }
public void BeEquivalentToGreedy_WhenSearchDepthIs1(string input) { var state = StateReader.Read(input); var initialStateDump = state.ToString(); var greedyAction = new GreedyAi(evaluator).GetAction(state, 100); var abAction = new AlphaBetaAi(evaluator, 1).GetAction(state, 100); Console.WriteLine(state.ToString()); Console.WriteLine($"[{abAction}]"); state.ToString().Should().Be(initialStateDump, "ai.GetAction should not change state"); abAction.ToString().Should().Be(greedyAction.ToString(), "ab-ai with depth=1 should be exactly gready ai"); }
public void TreeSizeMeasurement() { var totalSize = new StatValue(); foreach (var stateInput in GetStatesCollection()) { var localSize = new StatValue(); var state = StateReader.Read(stateInput); var ai = new AlphabetaAi(evaluator, 3) { Logging = false }; for (var i = 0; i < 1; i++) { var action = ai.GetAction(state, 250); localSize.Add(ai.LastSearchTreeSize); action.ApplyTo(state); } Console.WriteLine(localSize.ToDetailedString()); totalSize.AddAll(localSize); } Console.WriteLine("Total:"); Console.WriteLine(totalSize.ToDetailedString()); }