code: def test_date_range_lazy_with_expressions(
      low: str | pl.Expr, high: str | pl.Expr
  ) -> None:
      lf = pl.LazyFrame(
          {
              "start": [date(2015, 6, 30)],
              "stop": [date(2022, 12, 31)],
          }
      )
  
      result = lf.with_columns(
          pl.date_ranges(low, high, interval="678d", eager=False).alias(
              "dts"
          )
      )
  
      assert result.collect().rows() == [
          (
              date(2015, 6, 30),
              date(2022, 12, 31),
              [
                  date(2015, 6, 30),
                  date(2017, 5, 8),
                  date(2019, 3, 17),
                  date(2021, 1, 23),
                  date(2022, 12, 2),
              ],
          )
      ]
  
      df = pl.DataFrame(
          {
              "start": [date(2000, 1, 1), date(2022, 6, 1)],
              "stop": [date(2000, 1, 2), date(2022, 6, 2)],
          }
      )
  
      result_df = df.with_columns(
          pl.date_ranges(low, high, interval="1d").alias("dts")
      )
  
      assert result_df.to_dict(as_series=False) == {
          "start": [date(2000, 1, 1), date(2022, 6, 1)],
          "stop": [date(2000, 1, 2), date(2022, 6, 2)],
          "dts": [
              [date(2000, 1, 1), date(2000, 1, 2)],
              [date(2022, 6, 1), date(2022, 6, 2)],
          ],
      }
  
imports: from __future__ import annotations
  from datetime import date, datetime
  from typing import TYPE_CHECKING
  import pandas
  import pytest
  import polars
  from polars.testing import assert_frame_equal, assert_series_equal
label_desc: Use image node_id 5 for calling a global function with example usage: test_date_range_lazy_with_expressions(low, high) without return types