code: def test_read_parquet(s3_base, s3so, open_file_options):
      pdf = pd.DataFrame({"a": [1, 2, 3, 4], "b": [2.1, 2.2, 2.3, 2.4]})
      buffer = BytesIO()
      pdf.to_parquet(path=buffer)
      buffer.seek(0)
      with s3_context(
          s3_base=s3_base,
          bucket="daskparquet",
          files={"file.parq": buffer},
      ):
          if "open_file_func" in open_file_options:
              fs = pa_fs.S3FileSystem(
                  endpoint_override=s3so["client_kwargs"][
                      "endpoint_url"
                  ],
              )
              open_file_options["open_file_func"] = fs.open_input_file
          df = dask_cudf.read_parquet(
              "s3://daskparquet/*.parq",
              storage_options=s3so,
              open_file_options=open_file_options,
          )
          assert df.a.sum().compute() == 10
          assert df.b.sum().compute() == 9
  
file_path: cudf/python/dask_cudf/dask_cudf/io/tests/test_s3.py
imports: import os
  import socket
  from contextlib import contextmanager
  from io import BytesIO
  import pandas
  import pyarrow.fs
  import pytest
  import dask_cudf
label_desc: Use image node_id 8 for calling a global function with example usage: test_read_parquet(s3_base, s3so, open_file_options) without return types