code: def test_categorical_sort_order_by_parameter(
      dtype: PolarsDataType, outcome: list[str]
  ) -> None:
      s = pl.Series(["foo", "bar", "baz"], dtype=dtype)
      df = pl.DataFrame({"cat": s})
      assert df.sort(["cat"])["cat"].to_list() == outcome
  
imports: from __future__ import annotations
  import contextlib
  import io
  import operator
  from typing import TYPE_CHECKING, Any, Callable, Literal
  import pytest
  import polars
  from polars import StringCache
  from polars.exceptions import CategoricalRemappingWarning, StringCacheMismatchError
  from polars.testing import assert_frame_equal, assert_series_equal
label_desc: Use image node_id 23 for calling a global function with example usage: test_categorical_sort_order_by_parameter(dtype, outcome) without return types