def METHOD_NAME() -> None:
    axes = np.array([1], dtype=np.int64)
    keepdims = 1
    node = onnx.helper.make_node(
        "ReduceMax",
        inputs=["data", "axes"],
        outputs=["reduced"],
        keepdims=keepdims,
    )
    data = np.array(
        [[True, True], [True, False], [False, True], [False, False]],
    )
    reduced = np.maximum.reduce(data, axis=tuple(axes), keepdims=bool(keepdims))
    # print(reduced)
    # [[True],
    #  [True],
    #  [True],
    #  [False]]
    expect(
        node,
        inputs=[data, axes],
        outputs=[reduced],
        name="test_reduce_max_bool_inputs",
    )