code: def test_parquet_nested_list_pandas() -> None:
      # pandas/pyarrow writes as nested null dict
      df_pd = pd.DataFrame({"listcol": [[] * 10]})
      f = io.BytesIO()
      df_pd.to_parquet(f)
      f.seek(0)
      df = pl.read_parquet(f)
      assert df.dtypes == [pl.List(pl.Null)]
      assert df.to_dict(as_series=False) == {"listcol": [[]]}
  
imports: from __future__ import annotations
  import io
  from datetime import datetime, time, timezone
  from decimal import Decimal
  from typing import TYPE_CHECKING
  import numpy
  import pandas
  import pyarrow
  import pyarrow.dataset
  import pyarrow.parquet
  import pytest
  import polars
  from polars.testing import assert_frame_equal, assert_series_equal
label_desc: Use image node_id 26 for calling a global function with example usage: test_parquet_nested_list_pandas() without return types