import numpy as np

N, Px, Py = map(int, input().split())
matrices = []
matrix = np.diag(np.ones(3, dtype=np.int64))
x0 = np.array([Px, Py, 1], dtype=np.int64)

C = [tuple(map(int, input().split())) for _ in range(N)]
for cmd in reversed(C):
    if cmd[0] == 1:
        matr_x = np.array([[1, 0, 0], [0, 1, 0], [cmd[1], 0, 1]], dtype=np.int64)
        matrix = matr_x @ matrix
    elif cmd[0] == 2:
        matr_y = np.array([[1, 0, 0], [0, 1, 0], [0, cmd[1], 1]], dtype=np.int64)
        matrix = matr_y @ matrix
    elif cmd[0] == 3:
        matr_r = np.array([[0, -1, 0], [1, 0, 0], [0, 0, 1]], dtype=np.int64)
        matrix = matr_r @ matrix

    matrices.append(matrix)

for matrix in reversed(matrices):
    x, y, _ = x0 @ matrix
    print(x, y)