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: BigDL/python/llm/example/CPU/Applications/streaming-llm/streaming_llm/utils.py
imports: import torch
  import argparse
  import os.path
  import ssl
  import urllib.request
  import os
  import json
  from bigdl.llm.transformers import AutoModelForCausalLM
  from transformers import LlamaTokenizer
  import intel_extension_for_pytorch
label_desc: Use image node_id 3 for calling a global function with example usage: load_jsonl(file_path) and returns: list_data_dict