code: def test_group_by_multiple_keys_one_literal() -> None:
      df = pl.DataFrame({"a": [1, 1, 2], "b": [4, 5, 6]})
  
      expected = {"a": [1, 2], "literal": [1, 1], "b": [5, 6]}
      for streaming in [True, False]:
          assert (
              df.lazy()
              .group_by("a", pl.lit(1))
              .agg(pl.col("b").max())
              .sort(["a", "b"])
              .collect(streaming=streaming)
              .to_dict(as_series=False)
              == expected
          )
  
imports: from __future__ import annotations
  from collections import OrderedDict
  from datetime import datetime, timedelta
  from typing import Any
  import pytest
  import polars
  from polars.testing import assert_frame_equal, assert_series_equal
label_desc: Use image node_id 32 for calling a global function with example usage: test_group_by_multiple_keys_one_literal() without return types