code: def test_cudf_json_writer_read(gdf_writer_types):
      dtypes = {
          col_name: col_name[len("col_") :]
          for col_name in gdf_writer_types.columns
      }
      gdf_string = gdf_writer_types.to_json(
          orient="records", lines=True, engine="cudf"
      )
      gdf2 = cudf.read_json(
          StringIO(gdf_string),
          lines=True,
          engine="cudf",
          dtype=dict(dtypes),
      )
      pdf2 = pd.read_json(
          StringIO(gdf_string), lines=True, dtype=dict(dtypes)
      )
  
      # Bug in pandas https://github.com/pandas-dev/pandas/issues/28558
      if pdf2.empty:
          pdf2.reset_index(drop=True, inplace=True)
          pdf2.columns = pdf2.columns.astype("object")
      assert_eq(pdf2, gdf2)
  
imports: import copy
  import gzip
  import itertools
  import os
  from io import BytesIO, StringIO
  from pathlib import Path
  import numpy
  import pandas
  import pyarrow
  import pytest
  import cudf
  from cudf.testing._utils import DATETIME_TYPES, NUMERIC_TYPES, TIMEDELTA_TYPES, assert_eq
label_desc: Use image node_id 9 for calling a global function with example usage: test_cudf_json_writer_read(gdf_writer_types) without return types