code: def setUp(self):
      self.datadir = os.path.join(DIR, "test_dataset")
      self.config = DictConfig(
          {
              "dataroot": self.datadir,
              "test_transforms": [
                  {"transform": "FixedPoints", "lparams": [2]}
              ],
              "category": ["Airplane", "Cap"],
              "forward_category": "Airplane",
          }
      )
  
imports: import unittest
  import os
  import sys
  import torch
  from omegaconf.dictconfig import DictConfig
  import numpy.testing
  import numpy
  import copy
  from test.mock_models import MockModel
  from torch_points3d.datasets.segmentation.forward.shapenet import _ForwardShapenet, ForwardShapenetDataset
label_desc: Use image node_id 1 for calling the TestForwardData obj's underlying member method code with example usage: obj.setUp() without return types