code: def test_parquet_chunks_545(case: int) -> None:
      f = io.BytesIO()
      # repeat until it has case instances
      df = pd.DataFrame(
          np.tile([1.0, pd.to_datetime("2010-10-10")], [case, 1]),
          columns=["floats", "dates"],
      )
  
      # write as parquet
      df.to_parquet(f)
      f.seek(0)
  
      # read it with polars
      polars_df = pl.read_parquet(f)
      assert_frame_equal(pl.DataFrame(df), polars_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 24 for calling a global function with example usage: test_parquet_chunks_545(case) without return types