code: def test_streaming_empty_df() -> None:
      df = pl.DataFrame(
          [
              pl.Series(
                  "a",
                  ["a", "b", "c", "b", "a", "a"],
                  dtype=pl.Categorical(),
              ),
              pl.Series(
                  "b",
                  ["b", "c", "c", "b", "a", "c"],
                  dtype=pl.Categorical(),
              ),
          ]
      )
  
      result = (
          df.lazy()
          .join(df.lazy(), on="a", how="inner")
          .filter(False)
          .collect(streaming=True)
      )
  
      assert result.to_dict(as_series=False) == {
          "a": [],
          "b": [],
          "b_right": [],
      }
  
imports: from __future__ import annotations
  import os
  import tempfile
  import time
  from datetime import date
  from pathlib import Path
  from typing import TYPE_CHECKING, Any
  import numpy
  import pytest
  import polars
  from polars.exceptions import PolarsInefficientMapWarning
  from polars.testing import assert_frame_equal
label_desc: Use image node_id 13 for calling a global function with example usage: test_streaming_empty_df() without return types