code: def _run_experiment(args):
      if args.plaintext:
          import plain_contextual_bandits as bandits
      else:
          import private_contextual_bandits as bandits
  
      learner_func = build_learner(args, bandits, download_mnist)
      import crypten
  
      crypten.init()
      learner_func()
  
file_path: CrypTen/examples/bandits/launcher.py
imports: import argparse
  import logging
  import os
  import random
  import examples.util
  import torch
  import visdom
  from examples.multiprocess_launcher import MultiProcessLauncher
  from examples.util import NoopContextManager, process_mnist_files
  from torchvision.datasets.mnist import MNIST
label_desc: Use image node_id 9 for calling a global function with example usage: _run_experiment(args) without return types