code: def test_batched_points_size_and_color(self):
      opts = {
          "NdOverlay": dict(legend_limit=0),
          "Points": dict(size=Cycle(values=[1, 2])),
      }
      overlay = NdOverlay(
          {i: Points([(i, j) for j in range(2)]) for i in range(2)}
      ).opts(opts)
      plot = bokeh_renderer.get_plot(overlay).subplots[()]
      size = np.array([1, 1, 2, 2])
      color = np.array(
          ["#30a2da", "#30a2da", "#fc4f30", "#fc4f30"], dtype="<U7"
      )
      self.assertEqual(plot.handles["source"].data["color"], color)
      self.assertEqual(plot.handles["source"].data["size"], size)
  
imports: import datetime
  import numpy
  import pandas
  from bokeh.models import CategoricalColorMapper, FactorRange, LinearColorMapper, Scatter
  from holoviews.core import NdOverlay
  from holoviews.core.options import Cycle
  from holoviews.element import Points
  from holoviews.plotting.bokeh.util import property_to_dict
  from holoviews.streams import Stream
  from ..utils import ParamLogStream
  from .test_plot import TestBokehPlot, bokeh_renderer
label_desc: Use image node_id 8 for calling the TestPointPlot obj's underlying member method code with example usage: obj.test_batched_points_size_and_color() without return types