def run(rows, columns, depth, weights):
def update_board_with_matches(board, matches):
for piece, clusters in matches:
for r, c in clusters:
board.update(r, c, type(piece))
b = Board.create_randomized_board(5, 6)
# b = Board([Fire, Wood, Water, Dark, Light, Light,
# Water, Fire, Water, Light, Heart, Light,
# Fire, Water, Dark, Heart, Heart, Wood,
# Light, Water, Light, Fire, Wood, Wood,
# Dark, Heart, Dark, Light, Heart, Light], 5, 6)
m = Board.create_empty_board(rows, columns)
update_board_with_matches(m, b.get_matches())
h = GreedyDfs(weights) if False else PrunedBfs(weights)
h.diagonals = True
start = time.time()
moves = h.solve(b, depth)
performance = time.time() - start
print('---------------------------------------------')
print(b)
print(m)
print('run time : ' + str(performance))
print('best move score : ' + str(moves[0]))
print('start : ' + str(moves[1][0]))
print('moves : ' + str(moves[1][1:]))
print(moves[2])
m = Board.create_empty_board(rows, columns)
update_board_with_matches(m, moves[2].get_matches())
print(m)
def test_empty_board():
# empty board should contain only Unknown pieces
b = Board.create_empty_board(5, 6)
unknown_pieces = [
b.cell(r, c) for c in range(b.columns) for r in range(b.rows)
if isinstance(b.cell(r, c), Unknown)
]
assert len(
unknown_pieces
) == 30, "Creating empty board does not contain only Unknown pieces!"
def test_empty_board():
# empty board should contain only Unknown pieces
b = Board.create_empty_board(5, 6)
unknown_pieces = [b.cell(r, c) for c in range(b.columns) for r in range(b.rows) if isinstance(b.cell(r, c), Unknown)]
assert len(unknown_pieces) == 30, "Creating empty board does not contain only Unknown pieces!"
