code: def make_random_cmap(ncolors=256, random_state=None):
      
  
      from matplotlib import colors
  
      prng = check_random_state(random_state)
      h = prng.uniform(low=0.0, high=1.0, size=ncolors)
      s = prng.uniform(low=0.2, high=0.7, size=ncolors)
      v = prng.uniform(low=0.5, high=1.0, size=ncolors)
      hsv = np.dstack((h, s, v))
      rgb = np.squeeze(colors.hsv_to_rgb(hsv))
  
      return colors.ListedColormap(rgb)
docs: Make a matplotlib colormap consisting of (random) muted colors.
  
      A random colormap is very useful for plotting segmentation images.
  
      Parameters
      ----------
      ncolors : int, optional
          The number of colors in the colormap.  The default is 256.
  
      random_state : int or `~numpy.random.RandomState`, optional
          The pseudo-random number generator state used for random
          sampling.  Separate function calls with the same
          ``random_state`` will generate the same colormap.
  
      Returns
      -------
      cmap : `matplotlib.colors.ListedColormap`
          The matplotlib colormap with random colors.