def METHOD_NAME():
    content = ak.contents.numpyarray.NumpyArray(
        np.array([0.0, 1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9, 10.10])
    )
    offsets = ak.index.Index64(np.array([0, 3, 3, 5, 6, 10, 10]))
    listoffsetarray = ak.contents.listoffsetarray.ListOffsetArray(offsets, content)
    regulararray = ak.contents.regulararray.RegularArray(listoffsetarray, 2)
    starts = ak.index.Index64(np.array([0, 1]))
    stops = ak.index.Index64(np.array([2, 3]))
    listarray = ak.contents.listarray.ListArray(starts, stops, regulararray)
    cuda_listoffsetarray = ak.to_backend(listoffsetarray, "cuda")
    assert ak.num(cuda_listoffsetarray, 0) == ak.num(ak.Array(listoffsetarray), 0)
    assert (
        ak.num(cuda_listoffsetarray, 1).tolist()
        == ak.num(ak.Array(listoffsetarray), 1).tolist()
    )
    cuda_regulararray = ak.to_backend(regulararray, "cuda")
    assert ak.num(cuda_regulararray, 0) == ak.num(ak.Array(regulararray), 0)
    assert (
        ak.num(cuda_regulararray, 1).tolist()
        == ak.num(ak.Array(regulararray), 1).tolist()
    )
    cuda_listarray = ak.to_backend(listarray, "cuda")
    assert ak.num(cuda_listarray, 0) == ak.num(ak.Array(listarray), 0)
    assert ak.num(cuda_listarray, 1).tolist() == ak.num(ak.Array(listarray), 1).tolist()
    content1 = ak.contents.numpyarray.NumpyArray(np.array([1, 2, 3, 4, 5]))
    content2 = ak.contents.numpyarray.NumpyArray(
        np.array([1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, 8.8, 9.9])
    )
    offsets = ak.index.Index32(np.array([0, 3, 3, 5, 6, 9]))
    recordarray = ak.Array(
        ak.contents.recordarray.RecordArray(
            [content1, listoffsetarray, content2, content1],
            fields=["one", "two", "2", "wonky"],
        )
    )
    cuda_recordarray = ak.to_backend(recordarray, "cuda")
    assert ak.num(cuda_recordarray, 0) == ak.num(recordarray, 0)
    content0 = ak.Array([[1.1, 2.2, 3.3], [], [4.4, 5.5]]).layout
    content = ak.Array(
        ["one", "two", "three", "four", "five", "six", "seven", "eight", "nine"]
    ).layout
    tags = ak.index.Index8(np.array([1, 1, 0, 0, 1, 0, 1, 1], dtype=np.int8))
    index = ak.index.Index32(np.array([0, 1, 0, 1, 2, 2, 4, 3], dtype=np.int32))
    unionarray = ak.Array(
        ak.contents.unionarray.UnionArray(tags, index, [content0, content1])
    )
    cuda_unionarray = ak.to_backend(unionarray, "cuda")
    assert ak.num(cuda_unionarray, 0) == ak.num(unionarray, 0)