def test_set_var(adata, subset_func):
    init_hash = joblib.hash(adata)

    subset = adata[:, subset_func(adata.var_names)]

    new_var = pd.DataFrame(
        dict(a=np.ones(subset.n_vars), b=np.ones(subset.n_vars)),
        index=subset.var_names,
    )

    assert subset.is_view
    subset.var = new_var
    assert not subset.is_view
    assert np.all(subset.var == new_var)

    assert joblib.hash(adata) == init_hash
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