Substantial refactoring to implement correct Naive, UCT Monte Carlo tree search methods.
Removed unnecessary distinction between policy and tree search (tree search is a special kind of policy). Calculation of all valid moves / arbitrary sets of moves is now a seperate class, as it serves a different purpose than a policy. Introduced regression error in AlphaBeta test.
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test/net/woodyfolsom/msproj/LegalMoveTest.java
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test/net/woodyfolsom/msproj/LegalMoveTest.java
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package net.woodyfolsom.msproj;
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import static org.junit.Assert.assertTrue;
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import net.woodyfolsom.msproj.GameBoard;
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import net.woodyfolsom.msproj.GameState;
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import org.junit.Test;
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public class LegalMoveTest {
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@Test
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public void testLegalMove1Liberty() {
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GameState gameState = new GameState(5);
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gameState.playStone('A', 2, GameBoard.BLACK_STONE);
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gameState.playStone('B', 3, GameBoard.BLACK_STONE);
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gameState.playStone('B', 1, GameBoard.BLACK_STONE);
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assertTrue(gameState.playStone('B', 2, GameBoard.WHITE_STONE));
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System.out.println(gameState);
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}
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}
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