code: def test_parquet_nested_dictionaries_6217() -> None:
      _type = pa.dictionary(pa.int64(), pa.string())
  
      fields = [("a_type", _type)]
      struct_type = pa.struct(fields)
  
      col1 = pa.StructArray.from_arrays(
          [pa.DictionaryArray.from_arrays([0, 0, 1], ["A", "B"])],
          fields=struct_type,
      )
  
      table = pa.table({"Col1": col1})
  
      with pl.StringCache():
          df = pl.from_arrow(table)
  
          f = io.BytesIO()
          import pyarrow.parquet as pq
  
          pq.write_table(table, f, compression="snappy")
          f.seek(0)
          read = pl.read_parquet(f)
          assert_frame_equal(read, df)
  
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 21 for calling a global function with example usage: test_parquet_nested_dictionaries_6217() without return types