def METHOD_NAME(net):
    """
    :param net:
    :type net:
    :return:
    :rtype:
    """
    rand = np.random.random([25, len(net.sink)])
    profiles = net.sink.mdot_kg_per_s.values * rand
    profiles = pd.DataFrame(profiles, columns=[net.sink.index.values])
    profiles.to_csv(os.path.join(pp_dir, 'test', 'pipeflow_internals', 'data',
                                 'test_time_series_sink_profiles.csv'))
    rand = np.random.random([25, len(net.source)])
    profiles = net.source.mdot_kg_per_s.values * rand
    profiles = pd.DataFrame(profiles, columns=[net.source.index.values])
    profiles.to_csv(os.path.join(pp_dir, 'test', 'pipeflow_internals', 'data',
                                 'test_time_series_source_profiles.csv'))