def test_choose_move():
np.random.seed(0)
start_state = Connect4State()
state1 = Connect4State("""\
.......
.......
.......
...XX..
OXOXO..
XOXOXOO
""")
expected_display = """\
.......
.......
.......
..XXX..
OXOXO..
XOXOXOO
"""
player = MctsPlayer(start_state, iteration_count=200)
move = player.choose_move(state1)
state2 = state1.make_move(move)
display = state2.display()
assert display == expected_display
def test_create_board():
expected_spaces = np.array([[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0]])
board = Connect4State()
assert np.array_equal(board.get_spaces(), expected_spaces)
def test_pieces(pixmap_differ: PixmapDiffer):
actual: QPainter
expected: QPainter
with pixmap_differ.create_painters(280, 240,
'connect4_pieces') as (actual,
expected):
draw_grid(expected)
expected.setBrush(Connect4Display.player1_colour)
expected.drawEllipse(125, 205, 30, 30)
expected.drawEllipse(165, 205, 30, 30)
expected.setBrush(Connect4Display.player2_colour)
expected.drawEllipse(125, 165, 30, 30)
display = Connect4Display()
board = Connect4State('''\
.......
.......
.......
.......
...O...
...XX..
''')
display.resize(372, 264)
display.update_board(board)
render_display(display, actual)
def test_choose_move_in_pool():
start_state = Connect4State()
state1 = Connect4State("""\
.......
.......
.......
...XX..
OXOXO..
XOXOXOO
""")
player = MctsPlayer(start_state, iteration_count=200, process_count=2)
valid_moves = start_state.get_valid_moves()
move = player.choose_move(state1)
# Can't rely on which move, because other process has separate random seed.
assert valid_moves[move]
def test_train():
training_path = Path(__file__).parent / 'training_data.json'
boards_list, outputs_list = json.loads(training_path.read_text())
boards = np.array(boards_list)
outputs = np.array(outputs_list)
board = Connect4State()
neural_net = NeuralNet(board)
history = neural_net.train(boards, outputs)
assert history is not None
def __init__(self):
display = Connect4Display()
display.resize(288, 204)
display.update_board(Connect4State('''\
.......
......X
.....XO
..XOXOX
..OXOXO
..OXXXO
'''))
super().__init__(display, 210, 180)
def test_diagonal2_winner():
text = """\
......X
.....XO
..XOXOX
..OXOXO
..OXXXO
"""
board = Connect4State(text)
expected_winner = board.X_PLAYER
winner = board.get_winner()
assert winner == expected_winner
def test_choose_move_sets_current_node():
np.random.seed(0)
start_state = Connect4State()
state1 = Connect4State("""\
.......
.......
.......
.......
OXOXOXO
XOXOXOX
""")
player = MctsPlayer(start_state, iteration_count=20)
move1 = player.choose_move(state1)
current_node1 = player.search_manager.current_node
state2 = state1.make_move(move1)
move2 = player.choose_move(state2)
current_node2 = player.search_manager.current_node
state3 = state2.make_move(move2)
assert current_node1.game_state == state2
assert current_node2.game_state == state3
def test_valid_moves_after_win():
text = """\
.......
.......
...O...
..OX...
.OXX...
OXXO...
"""
board = Connect4State(text)
valid_moves = board.get_valid_moves()
assert not valid_moves.any()
def test_vertical_winner():
text = """\
.......
.....O.
.....O.
....XO.
..XXXO.
"""
board = Connect4State(text)
expected_winner = board.O_PLAYER
winner = board.get_winner()
assert winner == expected_winner
def test_choose_move_no_iterations():
np.random.seed(0)
start_state = Connect4State()
state1 = Connect4State("""\
.......
.......
.......
...XX..
OXOXO..
XOXOXOO
""")
test_count = 400
expected_count = test_count / 7
expected_low = expected_count * 0.9
expected_high = expected_count * 1.1
move_counts = Counter()
for _ in range(test_count):
player = MctsPlayer(start_state, iteration_count=0)
move = player.choose_move(state1)
move_counts[move] += 1
assert expected_low < move_counts[2] < expected_high
def test_get_active_player_x():
text = """\
.......
.......
.......
....O..
....X..
...XO..
"""
expected_player = Connect4State.X_PLAYER
board = Connect4State(text)
player = board.get_active_player()
assert player == expected_player
def test_longer_winner():
text = """\
.......
.......
.......
.......
..OOO..
XXXXXO.
"""
board = Connect4State(text)
expected_winner = board.X_PLAYER
winner = board.get_winner()
assert winner == expected_winner
def test_horizontal_end_winner():
text = """\
.......
.......
.......
.......
...OO..
..OXXXX
"""
board = Connect4State(text)
expected_winner = board.X_PLAYER
winner = board.get_winner()
assert winner == expected_winner
def test_get_valid_moves():
text = """\
1234567
....X..
....O..
....X..
....O..
....X..
...XO..
"""
expected_moves = np.array([1, 1, 1, 1, 0, 1, 1])
board = Connect4State(text)
moves = board.get_valid_moves()
assert np.array_equal(expected_moves, moves)
def test_display():
spaces = np.array([[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 1, -1, 0, 0]])
expected_text = """\
.......
.......
.......
.......
....X..
...XO..
"""
text = Connect4State(spaces=spaces).display()
assert text == expected_text
def test_create_board_from_text():
text = """\
.......
.......
.......
.......
....X..
...XO..
"""
expected_spaces = np.array([[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 1, -1, 0, 0]])
board = Connect4State(text)
assert np.array_equal(board.get_spaces(), expected_spaces)
def test_display_coordinates():
spaces = np.array([[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 1, -1, 0, 0]])
expected_text = """\
1234567
.......
.......
.......
.......
....X..
...XO..
"""
text = Connect4State(spaces=spaces).display(show_coordinates=True)
assert expected_text == text
def test_create_board_with_coordinates():
text = """\
1234567
.......
.......
.......
.......
....X..
...XO..
"""
expected_board = np.array([[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0, 0], [0, 0, 0, 1, -1, 0, 0]])
board = Connect4State(text)
assert np.array_equal(board.get_spaces(), expected_board)
def test_end_game_value():
board = Connect4State("""\
.......
.......
.......
.......
OOO....
XXXX...
""")
heuristic = NeuralNet(board)
expected_value = -1.0
expected_policy = [1/7] * 7
value, policy = heuristic.analyse(board)
assert expected_value == value
assert expected_policy == policy.tolist()
def test_make_move_o():
text = """\
.......
.......
.......
.......
....X..
...XO..
"""
move = 4
expected_display = """\
.......
.......
.......
....O..
....X..
...XO..
"""
board1 = Connect4State(text)
board2 = board1.make_move(move)
display = board2.display()
assert display == expected_display
def test_parse_move(text, expected_move):
game = Connect4State()
move = game.parse_move(text)
assert move == expected_move
def test_parse_move_fails(text, expected_message):
game = Connect4State()
with pytest.raises(ValueError, match=expected_message):
game.parse_move(text)
def __init__(self):
super().__init__(Connect4State())
def test_display_player_o():
expected_display = 'Player O'
display = Connect4State().display_player(Connect4State.O_PLAYER)
assert display == expected_display
