class_docstr: Mapper that leverages parallelpython (i.e. pp) maps.
      
class_docstr_tok: ["Mapper","that","leverages","parallelpython","(","i.e",".","pp",")","maps","."]
code: def apipe(self, f, *args, **kwds):  # register a callback ?
      # AbstractWorkerPool._AbstractWorkerPool__apipe(self, f, *args, **kwds)
      # submit a job, to be collected later with 'get()'
      _pool = self._serve()
      try:
          task = _pool.submit(f, args, globals=globals())
      except pp.DestroyedServerError:
          self._is_alive(None)
      return ApplyResult(task)
  
imports: from pathos.helpers import parallelpython
  from pathos.helpers import cpu_count
  import builtins
  from pathos.abstract_launcher import AbstractWorkerPool
  from pathos.helpers.pp_helper import ApplyResult, MapResult
label_desc: Use image node_id 9 for calling the ParallelPool obj's underlying member method code with example usage: obj.apipe(f) and returns: ApplyResult