code: def test_datetime_range_lazy_with_expressions(
      low: str | pl.Expr, high: str | pl.Expr
  ) -> None:
      df = pl.DataFrame(
          {
              "start": [datetime(2000, 1, 1), datetime(2022, 6, 1)],
              "stop": [datetime(2000, 1, 2), datetime(2022, 6, 2)],
          }
      )
  
      result_df = df.with_columns(
          pl.datetime_ranges(low, high, interval="1d").alias("dts")
      )
  
      assert result_df.to_dict(as_series=False) == {
          "start": [
              datetime(2000, 1, 1, 0, 0),
              datetime(2022, 6, 1, 0, 0),
          ],
          "stop": [
              datetime(2000, 1, 2, 0, 0),
              datetime(2022, 6, 2, 0, 0),
          ],
          "dts": [
              [datetime(2000, 1, 1, 0, 0), datetime(2000, 1, 2, 0, 0)],
              [datetime(2022, 6, 1, 0, 0), datetime(2022, 6, 2, 0, 0)],
          ],
      }
  
imports: from __future__ import annotations
  from datetime import date, datetime, timedelta
  from typing import TYPE_CHECKING
  import pytest
  import polars
  from polars.datatypes import DTYPE_TEMPORAL_UNITS
  from polars.exceptions import ComputeError, TimeZoneAwareConstructorWarning
  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_datetime_range_lazy_with_expressions(low, high) without return types