code: def test_parquet_statistics_filter_9925(tmp_path: Path) -> None:
      tmp_path.mkdir(exist_ok=True)
      file_path = tmp_path / "codes.parquet"
      df = pl.DataFrame({"code": [300964, 300972, 500_000, 26]})
      df.write_parquet(file_path, statistics=True)
  
      q = pl.scan_parquet(file_path).filter(
          (pl.col("code").floordiv(100_000)).is_in([0, 3])
      )
      assert q.collect().to_dict(as_series=False) == {
          "code": [300964, 300972, 26]
      }
  
imports: from __future__ import annotations
  from collections import OrderedDict
  from pathlib import Path
  from typing import TYPE_CHECKING, Any
  import pandas
  import pytest
  import polars
  from polars.testing import assert_frame_equal
label_desc: Use image node_id 16 for calling a global function with example usage: test_parquet_statistics_filter_9925(tmp_path) without return types