def METHOD_NAME(sgpr_and_svgp: Tuple[SGPR, SVGP]) -> None:
    """
    With a Gaussian likelihood the sparse Gaussian variational (SVGP) model
    should be equivalent to the analytically optimial sparse regression model (SGPR)
    after a single nat grad step of size 1.0
    """
    sgpr, svgp = sgpr_and_svgp
    assert_sgpr_vs_svgp(sgpr, svgp)