code: def test_sort_index_level_and_column_label(
      self, df_none, df_idx, sort_names, ascending, request
  ):
      # GH#14353
      if (
          Version(np.__version__) >= Version("1.25")
          and request.node.callspec.id == "df_idx0-inner-True"
      ):
          request.applymarker(
              pytest.mark.xfail(
                  reason=(
                      "pandas default unstable sorting of duplicates"
                      "issue with numpy>=1.25 with AVX instructions"
                  ),
                  strict=False,
              )
          )
  
      # Get index levels from df_idx
      levels = df_idx.index.names
  
      # Compute expected by sorting on columns and the setting index
      expected = df_none.sort_values(
          by=sort_names, ascending=ascending, axis=0
      ).set_index(levels)
  
      # Compute result sorting on mix on columns and index levels
      result = df_idx.sort_values(
          by=sort_names, ascending=ascending, axis=0
      )
  
      tm.assert_frame_equal(result, expected)
  
imports: import numpy
  import pytest
  import pandas
  from pandas import Categorical, DataFrame, NaT, Timestamp, date_range
  import pandas._testing
  from pandas.util.version import Version
label_desc: Use image node_id 1 for calling the TestSortValuesLevelAsStr obj's underlying member method code with example usage: obj.test_sort_index_level_and_column_label(df_none, df_idx, sort_names, ascending, request) without return types