code: def test_nonconsolidated_item_cache_take():
      # https://github.com/pandas-dev/pandas/issues/35521
  
      # create non-consolidated dataframe with object dtype columns
      df = DataFrame()
      df["col1"] = Series(["a"], dtype=object)
      df["col2"] = Series([0], dtype=object)
  
      # access column (item cache)
      df["col1"] == "A"
      # take operation
      # (regression was that this consolidated but didn't reset item cache,
      # resulting in an invalid cache and the .at operation not working properly)
      df[df["col2"] == 0]
  
      # now setting value should update actual dataframe
      df.at[0, "col1"] = "A"
  
      expected = DataFrame({"col1": ["A"], "col2": [0]}, dtype=object)
      tm.assert_frame_equal(df, expected)
      assert df.at[0, "col1"] == "A"
  
imports: from datetime import datetime, timedelta
  import itertools
  import numpy
  import pytest
  from pandas.errors import PerformanceWarning
  import pandas
  from pandas import Categorical, DataFrame, Series, Timestamp, date_range, option_context
  import pandas._testing
  from pandas.core.internals.blocks import NumpyBlock
label_desc: Use image node_id 2 for calling a global function with example usage: test_nonconsolidated_item_cache_take() without return types