code: def test_json_lines_byte_range(json_input):
      # include the first row and half of the second row
      # should parse the first two rows
      df = cudf.read_json(
          copy.deepcopy(json_input), lines=True, byte_range=(0, 15)
      )
      assert df.shape == (2, 3)
  
      # include half of the second row and half of the third row
      # should parse only the third row
      df = cudf.read_json(
          copy.deepcopy(json_input), lines=True, byte_range=(15, 10)
      )
      assert df.shape == (1, 3)
  
      # include half of the second row and entire third row
      # should parse only the third row
      df = cudf.read_json(
          copy.deepcopy(json_input), lines=True, byte_range=(15, 0)
      )
      assert df.shape == (1, 3)
  
      # include half of the second row till past the end of the file
      # should parse only the third row
      df = cudf.read_json(
          copy.deepcopy(json_input), lines=True, byte_range=(10, 50)
      )
      assert df.shape == (1, 3)
  
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 16 for calling a global function with example usage: test_json_lines_byte_range(json_input) without return types