def METHOD_NAME(lt_ctx, ds_random):
    analysis = lt_ctx.create_point_analysis(dataset=ds_random, x=8, y=8)
    results = lt_ctx.run(analysis)
    mask = np.zeros((16, 16))
    mask[8, 8] = 1
    expected = _naive_mask_apply([mask], ds_random.data)
    assert np.allclose(
        results.intensity.raw_data,
        expected,
    )
    assert np.allclose(
        results.intensity_log.raw_data,
        expected,
    )