code: def test_csv_reader_usecols(tmp_path, dtype):
      df = cudf.DataFrame(
          {
              "a": [1, 2, 3, 4] * 100,
              "b": ["a", "b", "c", "d"] * 100,
              "c": [10, 11, 12, 13] * 100,
          }
      )
      csv_path = str(tmp_path / "usecols_data.csv")
      df.to_csv(csv_path, index=False)
      ddf = dask_cudf.from_cudf(df[["b", "c"]], npartitions=5)
      ddf2 = dask_cudf.read_csv(
          csv_path, usecols=["b", "c"], dtype=dtype
      )
  
      dd.assert_eq(ddf, ddf2, check_divisions=False, check_index=False)
  
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 12 for calling a global function with example usage: test_csv_reader_usecols(tmp_path, dtype) without return types