code: def resume_runs(dirnames, t_output_every, t_upto, parallel=False):
      
      run_model_partial = partial(run_model, t_output_every, force_resume=True,
                                  t_upto=t_upto)
      run_func(run_model_partial, dirnames, parallel)
docs: Resume many models, and run.
  
      Parameters
      ----------
      dirnames: list[str]
          List of output directory paths from which to resume.
      output_every: int
          see :class:`Runner`.
      t_upto: float
          Run each model until the time is equal to this
      parallel: bool
          Whether or not to run the models in parallel, using the Multiprocessing
          library. If `True`, the number of concurrent tasks will be equal to
          one less than the number of available cores detected.