code: def one_worker_100MiB(request):
      config = {
          "task_retry_delay_ms": 0,
          "object_timeout_milliseconds": 1000,
          "automatic_object_spilling_enabled": False,
      }
      yield ray.init(
          num_cpus=1,
          object_store_memory=100 * 1024 * 1024,
          _system_config=config,
      )
      ray.shutdown()
  
imports: import logging
  import os
  import copy
  import platform
  import random
  import signal
  import sys
  import time
  import numpy
  import pytest
  import ray
  import ray.cluster_utils
  from ray._private.internal_api import memory_summary
  from ray._private.test_utils import SignalActor, put_object, wait_for_condition, wait_for_num_actors
  import ray._private.gcs_utils
label_desc: Use image node_id 1 for calling a global function with example usage: one_worker_100MiB(request) without return types