code: def small_value_batch(self, n):
      results = []
      for s in self.servers:
          results.extend([s.small_value.remote() for _ in range(n)])
      ray.get(results)
  
imports: import asyncio
  import logging
  from ray._private.ray_microbenchmark_helpers import timeit
  from ray._private.ray_client_microbenchmark import main
  import numpy
  import multiprocessing
  import ray
  import ray.experimental.channel
  from ray.dag import InputNode, MultiOutputNode
label_desc: Use image node_id 2 for calling the Client obj's underlying member method code with example usage: obj.small_value_batch(n) without return types