code: def get_p_RdBl_cmap() -> LinearSegmentedColormap:
      """p_RdBl red-blue colormap."""
      cdict = {
          "red": [(0.0, 217, 217), (0.5, 242, 242), (1.0, 65, 65)],
          "green": [(0.0, 58, 58), (0.5, 242, 242), (1.0, 124, 124)],
          "blue": [(0.0, 70, 70), (0.5, 242, 242), (1.0, 167, 167)],
      }
      # Normalize
      n_cdict = {
          color: [(x[0], x[1] / 255.0, x[2] / 255.0) for x in scale]
          for color, scale in cdict.items()
      }
      return LinearSegmentedColormap("p_RdBl", n_cdict)
  
imports: from typing import List
  import numpy
  from matplotlib.colors import LinearSegmentedColormap, Normalize
  from matplotlib.colors import colorConverter
label_desc: Use image node_id 1 for calling a global function with example usage: get_p_RdBl_cmap() and returns: LinearSegmentedColormap