code: def test_read_json(tmp_path):
      df1 = dask.datasets.timeseries(
          dtypes={"x": int, "y": int}, freq="120s"
      ).reset_index(drop=True)
      json_path = str(tmp_path / "data-*.json")
      df1.to_json(json_path)
      df2 = dask_cudf.read_json(json_path)
      dd.assert_eq(df1, df2)
  
      # file path test
      stmp_path = str(tmp_path / "data-*.json")
      df3 = dask_cudf.read_json(f"file://{stmp_path}")
      dd.assert_eq(df1, df3)
  
      # file list test
      list_paths = [
          os.path.join(tmp_path, fname)
          for fname in sorted(os.listdir(tmp_path))
      ]
      df4 = dask_cudf.read_json(list_paths)
      dd.assert_eq(df1, df4)
  
file_path: cudf/python/dask_cudf/dask_cudf/io/tests/test_json.py
imports: import os
  import pandas
  import pytest
  import dask
  import dask.dataframe
  from dask.utils import tmpfile
  import dask_cudf
label_desc: Use image node_id 2 for calling a global function with example usage: test_read_json(tmp_path) without return types