def test_set_varm_key(adata):
    init_hash = joblib.hash(adata)

    orig_varm_val = adata.varm["o"].copy()
    subset_varm = adata[:, :50]
    assert subset_varm.is_view
    subset_varm.varm["o"] = np.ones((50, 20))
    assert not subset_varm.is_view
    assert np.all(adata.varm["o"] == orig_varm_val)

    assert init_hash == joblib.hash(adata)
def test_impl(A, B):
            df = pd.DataFrame({'A': A, 'B': B})
            df2 = df.groupby('A', as_index=False)['B'].sum()
            # TODO: fix handling of df setitem to force match of array dists
            # probably with a new node that is appended to the end of basic block
            # df2['C'] = np.full(len(df2.B), 3, np.int8)
            # TODO: full_like for Series
            df2['C'] = np.full_like(df2.B.values, 3, np.int8)
            return df2