code: def s3_public_bucket_with_data(
      s3_public_bucket, tips_file, jsonl_file, feather_file, xml_file
  ):
      """
      The following datasets
      are loaded.
  
      - tips.csv
      - tips.csv.gz
      - tips.csv.bz2
      - items.jsonl
      """
      test_s3_files = [
          ("tips#1.csv", tips_file),
          ("tips.csv", tips_file),
          ("tips.csv.gz", tips_file + ".gz"),
          ("tips.csv.bz2", tips_file + ".bz2"),
          ("items.jsonl", jsonl_file),
          ("simple_dataset.feather", feather_file),
          ("books.xml", xml_file),
      ]
      for s3_key, file_name in test_s3_files:
          with open(file_name, "rb") as f:
              s3_public_bucket.put_object(Key=s3_key, Body=f)
      return s3_public_bucket
  
imports: import shlex
  import subprocess
  import time
  import uuid
  import pytest
  from pandas.compat import is_ci_environment, is_platform_arm, is_platform_mac, is_platform_windows
  import pandas.util._test_decorators
  import pandas.io.common
  from pandas.io.parsers import read_csv
label_desc: Use image node_id 11 for calling a global function with example usage: s3_public_bucket_with_data(s3_public_bucket, tips_file, jsonl_file, feather_file, xml_file) and returns: s3_public_bucket