code: def test_read_parquet(
      s3_base,
      s3so,
      pdf,
      bytes_per_thread,
      columns,
      precache,
      use_python_file_object,
  ):
      fname = "test_parquet_reader.parquet"
      bucket = "parquet"
      buffer = BytesIO()
      pdf.to_parquet(path=buffer)
  
      # Check direct path handling
      buffer.seek(0)
      with s3_context(
          s3_base=s3_base, bucket=bucket, files={fname: buffer}
      ):
          got1 = cudf.read_parquet(
              f"s3://{bucket}/{fname}",
              open_file_options=(
                  {"precache_options": {"method": precache}}
                  if use_python_file_object
                  else None
              ),
              storage_options=s3so,
              bytes_per_thread=bytes_per_thread,
              columns=columns,
              use_python_file_object=use_python_file_object,
          )
      expect = pdf[columns] if columns else pdf
      assert_eq(expect, got1)
  
      # Check fsspec file-object handling
      buffer.seek(0)
      with s3_context(
          s3_base=s3_base, bucket=bucket, files={fname: buffer}
      ):
          fs = get_fs_token_paths(
              f"s3://{bucket}/{fname}", storage_options=s3so
          )[0]
          with fs.open(f"s3://{bucket}/{fname}", mode="rb") as f:
              got2 = cudf.read_parquet(
                  f,
                  bytes_per_thread=bytes_per_thread,
                  columns=columns,
                  use_python_file_object=use_python_file_object,
              )
      assert_eq(expect, got2)
  
imports: import os
  import socket
  from contextlib import contextmanager
  from io import BytesIO
  import numpy
  import pandas
  import pyarrow.fs
  import pytest
  from fsspec.core import get_fs_token_paths
  import cudf
  from cudf.testing._utils import assert_eq
label_desc: Use image node_id 13 for calling a global function with example usage: test_read_parquet(s3_base, s3so, pdf, bytes_per_thread, columns, precache, use_python_file_object) without return types