code: def test_json_engine_selection():
      json = "[1, 2, 3]"
  
      # should use the cudf engine
      df = cudf.read_json(json, lines=True)
      # column names are strings when parsing with cudf
      for col_name in df.columns:
          assert isinstance(col_name, str)
  
      # should use the pandas engine
      df = cudf.read_json(json, lines=False, engine="pandas")
      # column names are ints when parsing with pandas
      for col_name in df.columns:
          assert isinstance(col_name, int)
  
      # should use the pandas engine
      df = cudf.read_json(json, lines=True, engine="pandas")
      # column names are ints when parsing with pandas
      for col_name in df.columns:
          assert isinstance(col_name, int)
  
      # should raise an exception
      with pytest.raises(ValueError):
          cudf.read_json(json, lines=False, engine="cudf_legacy")
  
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 19 for calling a global function with example usage: test_json_engine_selection() without return types