code: def test_group_by_list_scalar_11749() -> None:
      df = pl.DataFrame(
          {
              "group_name": ["a;b", "a;b", "c;d", "c;d", "a;b", "a;b"],
              "parent_name": ["a", "b", "c", "d", "a", "b"],
              "measurement": [
                  ["x1", "x2"],
                  ["x1", "x2"],
                  ["y1", "y2"],
                  ["z1", "z2"],
                  ["x1", "x2"],
                  ["x1", "x2"],
              ],
          }
      )
      assert (
          df.group_by("group_name").agg(
              (
                  pl.col("measurement").first() == pl.col("measurement")
              ).alias("eq"),
          )
      ).sort("group_name").to_dict(as_series=False) == {
          "group_name": ["a;b", "c;d"],
          "eq": [[True, True, True, True], [True, False]],
      }
  
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 33 for calling a global function with example usage: test_group_by_list_scalar_11749() without return types