code: def test_getitem_listlike(self, idx_type, levels, float_frame):
      # GH#21294
  
      if levels == 1:
          frame, missing = float_frame, "food"
      else:
          # MultiIndex columns
          frame = DataFrame(
              np.random.default_rng(2).standard_normal((8, 3)),
              columns=Index(
                  [("foo", "bar"), ("baz", "qux"), ("peek", "aboo")],
                  name=("sth", "sth2"),
              ),
          )
          missing = ("good", "food")
  
      keys = [frame.columns[1], frame.columns[0]]
      idx = idx_type(keys)
      idx_check = list(idx_type(keys))
  
      if isinstance(idx, (set, dict)):
          with pytest.raises(
              TypeError, match="as an indexer is not supported"
          ):
              frame[idx]
  
          return
      else:
          result = frame[idx]
  
      expected = frame.loc[:, idx_check]
      expected.columns.names = frame.columns.names
  
      tm.assert_frame_equal(result, expected)
  
      idx = idx_type(keys + [missing])
      with pytest.raises(KeyError, match="not in index"):
          frame[idx]
  
imports: import re
  import numpy
  import pytest
  from pandas import Categorical, CategoricalDtype, CategoricalIndex, DataFrame, DateOffset, DatetimeIndex, Index, MultiIndex, Series, Timestamp, concat, date_range, get_dummies, period_range
  import pandas._testing
  from pandas.core.arrays import SparseArray
label_desc: Use image node_id 4 for calling the TestGetitemListLike obj's underlying member method code with example usage: obj.test_getitem_listlike(idx_type, levels, float_frame) without return types