code: def json_input(request, tmp_path_factory):
      input_type = request.param
      buffer = "[1, 2, 3]\n[4, 5, 6]\n[7, 8, 9]\n"
      fname = tmp_path_factory.mktemp("json") / "test_df.json"
      if not os.path.isfile(fname):
          with open(str(fname), "w") as fp:
              fp.write(buffer)
  
      if input_type == "string":
          return buffer
      if input_type == "filepath":
          return str(fname)
      if input_type == "pathobj":
          return Path(fname)
      if input_type == "bytes_io":
          return BytesIO(buffer.encode())
      if input_type == "string_io":
          return StringIO(buffer)
      if input_type == "url":
          return Path(fname).as_uri()
  
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 12 for calling a global function with example usage: json_input(request, tmp_path_factory) and returns: buffer, str, Path, BytesIO, StringIO, Path