code: def test_read_csv(tmp_path):
      df = dask.datasets.timeseries(
          dtypes={"x": int, "y": int}, freq="120s"
      ).reset_index(drop=True)
  
      csv_path = str(tmp_path / "data-*.csv")
      df.to_csv(csv_path, index=False)
  
      df2 = dask_cudf.read_csv(csv_path)
      dd.assert_eq(df, df2)
  
      # file path test
      stmp_path = str(csv_path)
      df3 = dask_cudf.read_csv(f"file://{stmp_path}")
      dd.assert_eq(df2, df3)
  
      # file list test
      list_paths = [
          os.path.join(tmp_path, fname)
          for fname in sorted(os.listdir(tmp_path))
      ]
      df4 = dask_cudf.read_csv(list_paths)
      dd.assert_eq(df, df4)
  
imports: import gzip
  import os
  import warnings
  import numpy
  import pandas
  import pytest
  import dask
  from dask import dataframe
  import cudf
  import dask_cudf
label_desc: Use image node_id 6 for calling a global function with example usage: test_read_csv(tmp_path) without return types