class_docstr: AbstractWorkerPool base class for pathos pools.
      
class_docstr_tok: ["AbstractWorkerPool","base","class","for","pathos","pools","."]
docstr: run a batch of jobs with a non-blocking and ordered map
  
  Returns a list iterator of results of applying the function f to the items
  of the argument sequence(s). If more than one sequence is given, the
  function is called with an argument list consisting of the corresponding
  item of each sequence. Some maps accept the `chunksize` keyword, which
  causes the sequence to be split into tasks of approximately the given size.
          
docstr_tok: ["run","a","batch","of","jobs","with","a","non-blocking","and","ordered","map","Returns","a","list","iterator","of","results","of","applying","the","function","f","to","the","items","of","the","argument","sequence","(","s",")",".","If","more","than","one","sequence","is","given",",","the","function","is","called","with","an","argument","list","consisting","of","the","corresponding","item","of","each","sequence",".","Some","maps","accept","the","`","chunksize","`","keyword",",","which","causes","the","sequence","to","be","split","into","tasks","of","approximately","the","given","size","."]
code: def imap(self, f, *args, **kwds):
      """run a batch of jobs with a non-blocking and ordered map
  
      Returns a list iterator of results of applying the function f to the items
      of the argument sequence(s). If more than one sequence is given, the
      function is called with an argument list consisting of the corresponding
      item of each sequence. Some maps accept the `chunksize` keyword, which
      causes the sequence to be split into tasks of approximately the given size.
      """
      # self.__imap(f, *args, **kwds)
      raise NotImplementedError
  
label_desc: Use image node_id 11 for calling the AbstractWorkerPool obj's underlying member method code with example usage: obj.imap(f) without return types