code: def test_bars_multi_level_sorted(self):
      box = Bars(
          (["A", "B"] * 15, [3, 10, 1] * 10, np.random.randn(30)),
          ["Group", "Category"],
          "Value",
      ).aggregate(function=np.mean)
      plot = bokeh_renderer.get_plot(box)
      x_range = plot.handles["x_range"]
      self.assertEqual(
          x_range.factors,
          [
              ("A", "1"),
              ("A", "3"),
              ("A", "10"),
              ("B", "1"),
              ("B", "3"),
              ("B", "10"),
          ],
      )
  
imports: import numpy
  from bokeh.models import CategoricalColorMapper, LinearAxis, LinearColorMapper
  from holoviews.core.overlay import NdOverlay, Overlay
  from holoviews.element import Bars
  from holoviews.plotting.bokeh.util import property_to_dict
  from ..utils import ParamLogStream
  from .test_plot import TestBokehPlot, bokeh_renderer
label_desc: Use image node_id 6 for calling the TestBarPlot obj's underlying member method code with example usage: obj.test_bars_multi_level_sorted() without return types