code: def execute_multiprocessing(
      workers_count,
      transformer,
      chunks,
      multiprocessing_method="forkserver",
  ):
      logger.log(15, "Execute_multiprocessing starting worker pool...")
      ctx = multiprocessing.get_context(multiprocessing_method)
      with ctx.Pool(workers_count) as pool:
          out = pool.map(transformer, chunks)
      return out
  
label_desc: Use image node_id 1 for calling a global function with example usage: execute_multiprocessing(workers_count, transformer, chunks, multiprocessing_method) and returns: out