code: def test_default_integer_bitwidth_partial(
      default_integer_bitwidth, engine
  ):
      buf = BytesIO()
      pd.DataFrame({"a": range(10), "b": range(10, 20)}).to_json(
          buf, lines=True, orient="records"
      )
      buf.seek(0)
      df = cudf.read_json(
          buf,
          engine=engine,
          lines=True,
          orient="records",
          dtype={"b": "i8"},
      )
  
      assert df["a"].dtype == np.dtype(
          f"i{default_integer_bitwidth//8}"
      )
      assert df["b"].dtype == np.dtype("i8")
  
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 28 for calling a global function with example usage: test_default_integer_bitwidth_partial(default_integer_bitwidth, engine) without return types