text: import torch
  import numpy as np
  import matplotlib.pyplot as plt
  import matplotlib
  colors = plt.rcParams['axes.prop_cycle'].by_key()['color']
  
  
  def custom_plot(fignumber, x, y, STD, xlabel, ylabel, title, errorbars=False, labelname="", dotted="-", xlog=False,
                  ylog=False, lw=1.15, color=None):
      # Utility function for better (clean, customisable) plotting.
  
      fontsize = 10
      matplotlib.rcParams.update({'font.size': fontsize})
      plt.figure(fignumber, figsize=(8, 5))
      additional_args = {}
      error_args = {}
      if dotted == "dashed":
          additional_args['dashes'] = (5, 5)
      if color:
          additional_args['color'] = color
          error_args['color'] = color
      if not errorbars:
          additional_args['marker'] = 'x'
      if dotted != "-":
          lw += 0.15
      plt.plot(x, y, linestyle=dotted, label=labelname, ms=4, linewidth=lw, **additional_args)
      if errorbars:
          plt.fill_between(x, y-STD[0], y+STD[1], alpha=0.12, **error_args)
      if xlog:
          plt.xscale('log', nonposx='clip')
      if ylog:
          plt.yscale('log', nonposy='clip')
      plt.axis([None, None, min(y)-0.5, None])
      plt.grid(True)
      plt.xlabel(xlabel, fontsize=fontsize)
      plt.ylabel(ylabel, fontsize=fontsize)
      plt.title(title)
      plt.legend(fontsize=fontsize)
      # plt.show()
  