code: def jdump(obj, f, mode="w", indent=4, default=str):
      """
      Dump a str or dictionary to a file in json format.
  
      Args:
          obj: An object to be written.
          f: A string path to the location on disk.
          mode: Mode for opening the file.
          indent: Indent for storing json dictionaries.
          default: A function to handle non-serializable entries; defaults to `str`.
  
      """
      f = _make_w_io_base(f, mode)
      if isinstance(obj, (dict, list)):
          json.dump(
              obj, f, indent=indent, default=default, ensure_ascii=False
          )
      elif isinstance(obj, str):
          f.write(obj)
      else:
          raise ValueError(f"Unexpected type: {type(obj)}")
      f.close()
  
file_path: colossalai/applications/ColossalEval/colossal_eval/utils/utilities.py
imports: import io
  import json
  import os
  import torch.distributed
label_desc: Use image node_id 4 for calling a global function with example usage: jdump(obj, f, mode, indent, default) without return types