def run_test_2():
print('------- Scenario 2: Take the Win! --------')
#-- Scenario 2: Test to make dure MiniMax and AlphaBetaAI take the win for a more complicated scenario (4 more checkmate) in a predefined position.
#-- Here are the various players.
player_human = HumanPlayer()
player_mini = MinimaxAI(3, color=True)
player_alphaBeta = AlphaBetaAI(3, color=True)
game = ChessGame(player_human, player_mini)
game.board.reset()
game.board.push(chess.Move(12,28))
game.board.push(chess.Move(52, 36))
game.board.push(chess.Move(5, 26))
game.board.push(chess.Move(57, 42))
game.board.push(chess.Move(3, 39))
game.board.push(chess.Move(62, 45))
#-- Display Board
print(game)
print('---------------------------')
#-- Look at choice for MiniMaxAI
print('Chosen Move:', player_mini.choose_move(game.board))
print('---------------------------')
#-- Look at choice for AlphaBetaAI
print('Chosen Move:', player_alphaBeta.choose_move(game.board))
print('---------------------------')
def run_test_1():
print('------- Scenario 1: Equivance of Minimax and AlphaBeta --------')
#-- Scenario 1: Test to make sure MiniMaxAI and AlphaBetaAI are giving the same results
#-- Here are the various players.
player_human = HumanPlayer()
player_mini = MinimaxAI(3, color=True)
player_alphaBeta = AlphaBetaAI(3, color=True)
#-- Set up the board in a the following fashion. Remember our AIs are WHITE in these scenarios.
game = ChessGame(player_human, player_mini)
game.board.clear_board()
game.board.set_piece_at(piece=chess.Piece(4, False), square=16)
game.board.set_piece_at(piece=chess.Piece(2, False), square=8)
game.board.set_piece_at(piece=chess.Piece(3, False), square=10)
game.board.set_piece_at(piece=chess.Piece(3, True), square=1)
#-- Display the board and possible moves.
print(game)
print("Possible Moves:")
for move in game.board.pseudo_legal_moves:
print(move)
print('---------------------------')
#-- Look at the choice for MinimaxAI:
print('Chosen Move:', player_mini.choose_move(game.board))
print('---------------------------')
#-- Look at the choice for AlphaBetaAI:
print('Chosen Move:', player_alphaBeta.choose_move(game.board))
print('---------------------------')
def run_test_5():
#-- Iterative Deepening Test: Make sure that the deeper you go the better answer you get.
#-- Set board.
board = get_random_board(26)
print(board)
#-- Set up players
player2 = MinimaxAI(2, color=True)
player3 = MinimaxAI(3, color=True)
player4 = MinimaxAI(4, color=True)
playera2 = AlphaBetaAI(2, color=True)
playera3 = AlphaBetaAI(3, color=True)
playera4 = AlphaBetaAI(4, color=True)
#-- Get move scores from different depths
player2.choose_move(board)
player3.choose_move(board)
player4.choose_move(board)
print('---------------------')
playera2.choose_move(board)
playera3.choose_move(board)
playera4.choose_move(board)
