code: def trial(
      client,
      data_dir,
      nbytes,
      n_partitions,
      generate_only,
      s3_bucket=None,
      file_path=None,
  ):
      if s3_bucket:
          df = load_dataset(
              client, data_dir, s3_bucket, nbytes, n_partitions
          )
      elif file_path:
          df = load_dataset_files(
              client, data_dir, file_path, nbytes, n_partitions
          )
  
      if generate_only:
          return []
  
      times = []
      start = time.time()
      for i in range(10):
          print("Trial {} start".format(i))
          trial_start = time.time()
  
          # from ray.util.dask import ProgressBarCallback
          # with ProgressBarCallback():
          #     print(
          #         df.set_index("a", shuffle="tasks",
          #                      max_branch=float("inf")).compute(
          #                          _ray_enable_progress_bar=True).head(10))
          print(
              df.set_index(
                  "a", shuffle="tasks", max_branch=float("inf")
              ).head(10, npartitions=-1)
          )
  
          trial_end = time.time()
          duration = trial_end - trial_start
          times.append(duration)
          print("Trial {} done after {}".format(i, duration))
  
          if time.time() - start > 60:
              break
      return times
  
file_path: ray/release/nightly_tests/dask_on_ray/dask_on_ray_sort.py
imports: import csv
  import json
  import os.path
  import time
  import boto3
  import dask
  import dask.dataframe
  import numpy
  import pandas
  from dask.distributed import Client
  import traceback
label_desc: Use image node_id 3 for calling a global function with example usage: trial(client, data_dir, nbytes, n_partitions, generate_only, s3_bucket, file_path) and returns: times, list