code: def download_human_eval():
      """Download the HumanEval dataset, un-gzips it, and returns a list of its parsed JSON objects."""
  
      # Send a HTTP request to the URL of the file
      response = requests.get(URL)
  
      # Ensure we raise an error if the download failed
      response.raise_for_status()
  
      # Create a BytesIO object from the response content
      buffer = io.BytesIO(response.content)
  
      # Read the file, line by line, populating a list of parsed JSON objects
      results = []
      with gzip.GzipFile(fileobj=buffer) as f_in:
          for line in f_in:
              # Parse each line as JSON
              results.append(json.loads(line))
  
      return results
  
file_path: autogen/samples/tools/testbed/utils/download_humaneval.py
imports: import requests
  import gzip
  import io
  import json
  import os
  import base64
label_desc: Use image node_id 1 for calling a global function with example usage: download_human_eval() and returns: results