code: def load_jsonl(
      file_path,
  ):
      list_data_dict = []
      with open(file_path, "r") as f:
          for line in f:
              list_data_dict.append(json.loads(line))
      return list_data_dict
  
file_path: H2O/h2o_hf/utils_real_drop/stream.py
imports: import torch
  import argparse
  from transformers import AutoConfig, AutoTokenizer, AutoModelForCausalLM
  import os.path
  import ssl
  import urllib.request
  import os
  import json
  from utils_real_drop.modify_llama import H2OLlamaForCausalLM_streaming
label_desc: Use image node_id 4 for calling a global function with example usage: load_jsonl(file_path) and returns: list_data_dict