def METHOD_NAME():
    # Supplying an index out of bounds results in an empty sub-array, for which modin
    # would return a numpy array by default
    x = numpy.random.randint(-100, 100, size=(6, 4))
    idxs = [2, 3, 6]
    numpy_result = numpy.split(x, idxs)
    modin_result = np.split(np.array(x), idxs)
    for modin_entry, numpy_entry in zip(modin_result, numpy_result):
        assert_scalar_or_array_equal(modin_entry, numpy_entry)