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 get_organizations(self):
        legis = Organization('Minnesota Legislature', classification='legislature')

        upper = Organization('Minnesota Senate', classification='upper',
                             parent_id=legis._id)
        lower = Organization('Minnesota House of Representatives',
                             classification='lower', parent_id=legis._id)

        for n in range(1, 68):
            upper.add_post(label=str(n), role='Senator',
                           division_id='ocd-division/country:us/state:mn/sldu:{}'.format(n))
            lower.add_post(label=str(n) + 'A', role='Representative',
                           division_id='ocd-division/country:us/state:mn/sldl:{}a'.format(n))
            lower.add_post(label=str(n) + 'B', role='Representative',
                           division_id='ocd-division/country:us/state:mn/sldl:{}b'.format(n))

        yield legis
        yield upper
        yield lower