docstr: Test computation of marker positions for function, list, tuple and
  integer type.
docstr_tok: ["Test","computation","of","marker","positions","for","function",",","list",",","tuple","and","integer","type","."]
code: def test_get_markers(self):
      """Test computation of marker positions for function, list, tuple and
      integer type.
  
      """
  
      args = [sorted(self.ann_bins.keys()), self.ann_bins]
  
      # function type
      test_val = np.array(self.ann_bins["o1"][1])
      test_input = lambda x: x == "o1"
      self.assertEqual(
          self.plot._get_markers(test_input, *args), test_val
      )
  
      # list type
      test_val = np.array(self.ann_bins["o2"][1])
      test_input = [1]
      self.assertEqual(
          self.plot._get_markers(test_input, *args), test_val
      )
  
      # tuple type
      test_val = np.array(self.ann_bins["o2"][1])
      test_input = ("o2",)
      self.assertEqual(
          self.plot._get_markers(test_input, *args), test_val
      )
  
      # integer type
      test_val = np.array(self.ann_bins["o1"][1])
      test_input = 1
      self.assertEqual(
          self.plot._get_markers(test_input, *args), test_val
      )
  
imports: from itertools import product
  import numpy
  from bokeh.models import ColorBar
  from holoviews.core.spaces import HoloMap
  from holoviews.element.raster import HeatMap
  from holoviews.plotting.bokeh import RadialHeatMapPlot
  from .test_plot import TestBokehPlot, bokeh_renderer
label_desc: Use image node_id 11 for calling the BokehRadialHeatMapPlotTests obj's underlying member method code with example usage: obj.test_get_markers() without return types