def test_negative_scalar_index(adata, index: int, obs: bool):
    pos_index = index + (adata.n_obs if obs else adata.n_vars)

    if obs:
        adata_pos_subset = adata[pos_index]
        adata_neg_subset = adata[index]
    else:
        adata_pos_subset = adata[:, pos_index]
        adata_neg_subset = adata[:, index]

    np.testing.assert_array_equal(
        adata_pos_subset.obs_names, adata_neg_subset.obs_names
    )
    np.testing.assert_array_equal(
        adata_pos_subset.var_names, adata_neg_subset.var_names
    )
def flux_density(isa, subreg=[], ax=0):
    """plot flux density of NC/I7/ISA7 model
    Args:
      isa: Isa7/NC object
    """
    if subreg:
        if isinstance(subreg, list):
            sr = subreg
        else:
            sr = [subreg]
        elements = [e for s in sr for se in isa.get_subregion(s).elements()
                    for e in se]
    else:
        elements = [e for e in isa.elements]

    fluxd = np.array([np.linalg.norm(e.flux_density()) for e in elements])
    _contour(ax, f'Flux Density T', elements, fluxd)
    logger.info("Max flux dens %f", np.max(fluxd))