code: def test_non_string_columns(version):
      df = pd.DataFrame(
          {0: [1, 2, 3, 4], 1: [True, False, True, False]}
      )
      expected = df
  
      if version == 1:
          expected = df.rename(columns=str)
      _check_pandas_roundtrip(df, expected, version=version)
  
imports: import io
  import os
  import sys
  import tempfile
  import pytest
  import hypothesis
  import hypothesis.strategies
  import numpy
  import pyarrow
  import pyarrow.tests.strategies
  from pyarrow.feather import read_feather, write_feather, read_table, FeatherDataset
label_desc: Use image node_id 36 for calling a global function with example usage: test_non_string_columns(version) without return types