class_docstr: Limits unbound ahead-processing of multiprocessing.Pool's imap method
  before items get consumed by the iteration caller.
  This prevents OOM issues in situations where items represent larger memory allocations.
code: def __init__(
      self,
      processes=None,
      initializer=None,
      initargs=None,
      process_ahead=None,
      sleeping_for=0.1,
  ):
      self.process_ahead = (
          os.cpu_count() if process_ahead is None else process_ahead
      )
      self.sleeping_for = sleeping_for
      self.processed = 0
      self.pool = Pool(
          processes=processes,
          initializer=initializer,
          initargs=initargs,
      )
  
imports: import os
  import sys
  import time
  import heapq
  import semver
  import random
  from multiprocessing import Pool
  from collections import namedtuple
label_desc: Use image node_id 1 to create a new LimitingPool object  with example: obj = LimitingPool(processes, initializer, initargs, process_ahead, sleeping_for)