code: def contains_trained_model(self):
      if not hasattr(self, "_contains_trained_model"):
          for f in self._files:
              if ".pt" in f:
                  self._contains_trained_model = True
                  self._model_name = f
                  return self._contains_trained_model
          self._contains_trained_model = False
          return self._contains_trained_model
      else:
          return self._contains_trained_model
  
imports: import os
  from glob import glob
  from collections import defaultdict
  import torch
  from plyfile import PlyData, PlyElement
  from numpy.lib import recfunctions
  from torch_points3d.utils.colors import COLORS
  import numpy
label_desc: Use image node_id 11 for calling the ExperimentFolder obj's underlying member method code with example usage: obj.contains_trained_model() and returns: self, self, self