code: def make_figure(output_backend):
      x = np.linspace(0.1, 5, 100)
  
      p = figure(
          y_axis_type="log",
          y_range=(0.001, 10.0**22),
          width=400,
          height=400,
          toolbar_location=None,
          output_backend=output_backend,
          title=f"Backend: {output_backend}",
      )
  
      p.xaxis.axis_label = "Domain"
      p.yaxis.axis_label = "Values (log scale)"
  
      p.line(x, np.sqrt(x), line_color="tomato", line_dash="dotdash")
      p.line(x, x)
      p.scatter(x, x)
      p.line(x, x**2)
      p.scatter(x, x**2, fill_color=None, line_color="olivedrab")
      p.line(x, 10**x, line_color="gold", line_width=2)
      p.line(
          x,
          x**x,
          line_dash="dotted",
          line_color="indigo",
          line_width=2,
      )
      p.line(
          x,
          10 ** (x**2),
          line_color="coral",
          line_dash="dashed",
          line_width=2,
      )
  
      return p
  
imports: import numpy
  from bokeh.io import save
  from bokeh.layouts import row
  from bokeh.plotting import figure
label_desc: Use image node_id 1 for calling a global function with example usage: make_figure(output_backend) and returns: p