import numpy as np 
def orthogonal_projection(v, L):
    v = np.array(v)
    L = np.array(L)
    C = np.dot(v, L.T)/np.linalg.norm(L)
    D = C*L
    return D.tolist()


if __name__ == "__main__":
    v = eval(input())
    L = eval(input())
    print(orthogonal_projection(v, L))