code: def read_json_file(
      f, orient, lines, engine, column_name, path, path_dtype, kwargs
  ):
      with f as open_file:
          df = engine(open_file, orient=orient, lines=lines, **kwargs)
      if column_name:
          df = add_path_column(df, column_name, path, path_dtype)
      return df
  
imports: from __future__ import annotations
  import io
  import os
  from functools import partial
  from itertools import zip_longest
  import pandas
  from fsspec.core import open_files
  from dask.base import compute
  from dask.bytes import read_bytes
  from dask.core import flatten
  from dask.dataframe._compat import PANDAS_GE_200, PANDAS_VERSION
  from dask.dataframe.backends import dataframe_creation_dispatch
  from dask.dataframe.io.io import from_delayed
  from dask.dataframe.utils import insert_meta_param_description, make_meta
  from dask.delayed import delayed
label_desc: Use image node_id 5 for calling a global function with example usage: read_json_file(f, orient, lines, engine, column_name, path, path_dtype, kwargs) and returns: df