def METHOD_NAME() -> None:
    input = np.array([[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]]).astype(np.float32)
    input_size = 2
    hidden_size = 4
    weight_scale = 0.1
    node = onnx.helper.make_node(
        "RNN", inputs=["X", "W", "R"], outputs=["", "Y_h"], hidden_size=hidden_size
    )
    W = weight_scale * np.ones((1, hidden_size, input_size)).astype(np.float32)
    R = weight_scale * np.ones((1, hidden_size, hidden_size)).astype(np.float32)
    rnn = RNNHelper(X=input, W=W, R=R)
    _, Y_h = rnn.step()
    expect(
        node,
        inputs=[input, W, R],
        outputs=[Y_h.astype(np.float32)],
        name="test_simple_rnn_defaults",
    )