code: def stage2(smoke=False):
      num_tasks_per_iteration = 500
  
      if smoke:
          num_tasks_per_iteration //= 25
  
      stage_2_iterations = []
      start_time = time.time()
      logger.info("Submitting tasks with many dependencies.")
      x_ids = []
      for _ in range(5):
          iteration_start = time.time()
          for i in range(20):
              logger.info(
                  "Iteration %s. Cumulative time %s seconds",
                  i,
                  time.time() - start_time,
              )
              x_ids = [
                  f.remote(0, *x_ids)
                  for _ in range(num_tasks_per_iteration)
              ]
          ray.get(x_ids)
          stage_2_iterations.append(time.time() - iteration_start)
          logger.info(
              "Finished after %s seconds.", time.time() - start_time
          )
      return time.time() - start_time, stage_2_iterations
  
file_path: ray/release/nightly_tests/stress_tests/test_many_tasks.py
imports: import argparse
  import json
  import logging
  import os
  import time
  from collections import defaultdict
  import numpy
  import ray
label_desc: Use image node_id 4 for calling a global function with example usage: stage2(smoke) and returns: unknown,  stage_2_iterations