code: def test_platform_numpy_integers(version):
      data = {}
  
      numpy_dtypes = ["longlong"]
      num_values = 100
  
      for dtype in numpy_dtypes:
          values = np.random.randint(0, 100, size=num_values)
          data[dtype] = values.astype(dtype)
  
      df = pd.DataFrame(data)
      _check_pandas_roundtrip(df, 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 17 for calling a global function with example usage: test_platform_numpy_integers(version) without return types