human
Give me a the Python program you requested given the following:
Complete the below
@pytest.mark.parametrize('agg_func', ['sum', 'var', 'mean', 'count', 'size', 'std', 'min', 'max', 'nunique'])
@pytest.mark.parametrize('grouper', [(lambda df: df['a']), (lambda df: [df['a'], df['b']]), (lambda df: [(df['a'] > 2), (df['b'] > 1)])])
def test_series_aggregations_multilevel(grouper, agg_func):

    ''''similar to ``test_dataframe_aggregations_multilevel``, but series do not
    support all groupby args.'
    '''
assistant
#Here is the Python program you requested.
    def call(g, m, **kwargs):
        return getattr(g, m)(**kwargs)
    pdf = pd.DataFrame({'a': ([1, 2, 6, 4, 4, 6, 4, 3, 7] * 10), 'b': ([4, 2, 7, 3, 3, 1, 1, 1, 2] * 10), 'c': ([0, 1, 2, 3, 4, 5, 6, 7, 8] * 10)}, columns=['c', 'b', 'a'])
    ddf = dd.from_pandas(pdf, npartitions=10)
    assert_eq(call(pdf['c'].groupby(grouper(pdf)), agg_func), call(ddf['c'].groupby(grouper(ddf)), agg_func, split_every=2), check_names=(agg_func not in {'mean', 'nunique'}))