code: def test_violin_split_op_multi(self):
      a = np.repeat(np.arange(5), 5)
      b = np.repeat(np.arange(5), 5)
      violin = Violin((a, b, np.arange(25)), ["a", "b"], "d").opts(
          split=dim("b") > 2
      )
      plot = bokeh_renderer.get_plot(violin)
      source = plot.handles["patches_1_source"]
      glyph = plot.handles["patches_1_glyph"]
      cmapper = plot.handles["violin_color_mapper"]
      values = [
          "False",
          "True",
          "False",
          "True",
          "False",
          "True",
          "False",
          "True",
          "False",
          "True",
      ]
      self.assertEqual(source.data["dim('b')>2"], values)
      self.assertEqual(
          property_to_dict(glyph.fill_color),
          {"field": "dim('b')>2", "transform": cmapper},
      )
  
imports: from unittest import SkipTest
  import numpy
  from bokeh.models import CategoricalColorMapper, LinearColorMapper
  from holoviews.element import Violin
  from holoviews.operation.stats import univariate_kde
  from holoviews.plotting.bokeh.util import property_to_dict
  from holoviews.util.transform import dim
  from .test_plot import TestBokehPlot, bokeh_renderer
label_desc: Use image node_id 13 for calling the TestBokehViolinPlot obj's underlying member method code with example usage: obj.test_violin_split_op_multi() without return types