def play_one_step(self):
N = 5
piece_type, previous_board, board = readInput(N)
go = GO(N)
go.set_board(piece_type, previous_board, board)
action = self.get_input(go, piece_type)
writeOutput(action)
def get_input(self, go, piece_type):
'''
Get one input.
:param go: Go instance.
:param piece_type: 1('X') or 2('O').
:return: (row, column) coordinate of input.
'''
possible_placements = []
for i in range(go.size):
for j in range(go.size):
if go.valid_place_check(i, j, piece_type, test_check=True):
possible_placements.append((i, j))
if not possible_placements:
return "PASS"
else:
action = random.choice(possible_placements)
x, y = action
writeOutput(action)
return action
line = f.read(2)
f.close()
win = int(line[0])
side = int(line[1])
if win == 0:
result = 1
elif win == side:
result = 2
else:
result = 0
player = QLearner(side=side)
player.read()
player.update(result)
player.save(1)
else:
"""
Get current state and piece_type.
Move (action)
"""
N = 5
piece_type, previous_board, board = readInput(N)
go = GO(N)
go.set_board(piece_type, previous_board, board)
curr_state = ''.join(
[str(board[i][j]) for i in range(N) for j in range(N)])
player = QLearner(side=piece_type)
player.read()
action = player.get_input(go, curr_state)
writeOutput(action)
player.save(0)
