code: def test_spikes_categorical_color_op(self):
      spikes = Spikes(
          [(0, 0, "A"), (0, 1, "B"), (0, 2, "C")], vdims=["y", "color"]
      ).opts(color="color")
      plot = bokeh_renderer.get_plot(spikes)
      cds = plot.handles["cds"]
      glyph = plot.handles["glyph"]
      cmapper = plot.handles["color_color_mapper"]
      self.assertTrue(cmapper, CategoricalColorMapper)
      self.assertEqual(cmapper.factors, ["A", "B", "C"])
      self.assertEqual(cds.data["color"], np.array(["A", "B", "C"]))
      self.assertEqual(
          property_to_dict(glyph.line_color),
          {"field": "color", "transform": cmapper},
      )
  
imports: import datetime
  import numpy
  from bokeh.models import CategoricalColorMapper, LinearColorMapper
  from holoviews.core import NdOverlay
  from holoviews.element import Spikes
  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 19 for calling the TestSpikesPlot obj's underlying member method code with example usage: obj.test_spikes_categorical_color_op() without return types