code: def test_rename_with_duplicate_columns(self):
      # GH#4403
      df4 = DataFrame(
          {"RT": [0.0454], "TClose": [22.02], "TExg": [0.0422]},
          index=MultiIndex.from_tuples(
              [(600809, 20130331)], names=["STK_ID", "RPT_Date"]
          ),
      )
  
      df5 = DataFrame(
          {
              "RPT_Date": [20120930, 20121231, 20130331],
              "STK_ID": [600809] * 3,
              "STK_Name": ["饡驦", "饡驦", "饡驦"],
              "TClose": [38.05, 41.66, 30.01],
          },
          index=MultiIndex.from_tuples(
              [
                  (600809, 20120930),
                  (600809, 20121231),
                  (600809, 20130331),
              ],
              names=["STK_ID", "RPT_Date"],
          ),
      )
      # TODO: can we construct this without merge?
      k = merge(
          df4, df5, how="inner", left_index=True, right_index=True
      )
      result = k.rename(
          columns={"TClose_x": "TClose", "TClose_y": "QT_Close"}
      )
  
      expected = DataFrame(
          [[0.0454, 22.02, 0.0422, 20130331, 600809, "饡驦", 30.01]],
          columns=[
              "RT",
              "TClose",
              "TExg",
              "RPT_Date",
              "STK_ID",
              "STK_Name",
              "QT_Close",
          ],
      ).set_index(["STK_ID", "RPT_Date"], drop=False)
      tm.assert_frame_equal(result, expected)
  
imports: from collections import ChainMap
  import inspect
  import numpy
  import pytest
  from pandas import DataFrame, Index, MultiIndex, merge
  import pandas._testing
label_desc: Use image node_id 20 for calling the TestRename obj's underlying member method code with example usage: obj.test_rename_with_duplicate_columns() without return types