code: def test_no_pairwise_with_other(
      self, pairwise_frames, pairwise_other_frame, f
  ):
      # DataFrame with another DataFrame, pairwise=False
      result = (
          f(pairwise_frames, pairwise_other_frame)
          if pairwise_frames.columns.is_unique
          else None
      )
      if result is not None:
          # we can have int and str columns
          expected_index = pairwise_frames.index.union(
              pairwise_other_frame.index
          )
          expected_columns = pairwise_frames.columns.union(
              pairwise_other_frame.columns
          )
          tm.assert_index_equal(result.index, expected_index)
          tm.assert_index_equal(result.columns, expected_columns)
      else:
          with pytest.raises(
              ValueError, match="'arg1' columns are not unique"
          ):
              f(pairwise_frames, pairwise_other_frame)
          with pytest.raises(
              ValueError, match="'arg2' columns are not unique"
          ):
              f(pairwise_other_frame, pairwise_frames)
  
imports: import numpy
  import pytest
  from pandas.compat import IS64
  from pandas import DataFrame, Index, MultiIndex, Series, date_range
  import pandas._testing
  from pandas.core.algorithms import safe_sort
label_desc: Use image node_id 5 for calling the TestPairwise obj's underlying member method code with example usage: obj.test_no_pairwise_with_other(pairwise_frames, pairwise_other_frame, f) without return types