def METHOD_NAME(N, F, T):
    # We'll generate some random inputs here
    # since we don't need it to converge
    x = np.random.randn(N, F).astype(T, copy=False)
    # Give the results either a 0 or 1 value
    y = np.floor(2.0 * np.random.random(N).astype(T, copy=False))
    return x, y