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 test_impl(n):
            df = pd.DataFrame({'A': np.ones(n), 'B': np.random.ranf(n)})
            df.A.fillna(5.0, inplace=True)
            DF = df.A.fillna(5.0)
            s = DF.sum()
            m = df.A.mean()
            v = df.A.var()
            t = df.A.std()
            Ac = df.A.cumsum()
            return Ac.sum() + s + m + v + t