code: def test_scalePos(self):
      tr = ScalePos(scale=2.0)
      d = Data(pos=torch.tensor([[1, 0, 0], [0, 1, 1]]).float())
      d = tr(d)
      torch.testing.assert_allclose(
          d.pos, torch.tensor([[2, 0, 0], [0, 2, 2]]).float()
      )
  
imports: import unittest
  import sys
  import os
  import torch_geometric.transforms
  import numpy
  import numpy.testing
  import torch
  from torch_geometric.data import Data
  from omegaconf.dictconfig import DictConfig
  from omegaconf.listconfig import ListConfig
  from omegaconf import OmegaConf
  from torch_points3d.core.data_transform import instantiate_transform, instantiate_transforms, GridSampling3D, MultiScaleTransform, Random3AxisRotation, AddFeatByKey, AddFeatsByKeys, RemoveAttributes, RandomDropout, ShiftVoxels, PCACompute, RandomCoordsFlip, XYZFeature, ScalePos, RandomWalkDropout, NormalizeFeature, SphereCrop, CubeCrop, RandomSphereDropout, DensityFilter, LotteryTransform, ClampBatchSize, RandomParamTransform, Select, ComposeTransform
  from torch_points3d.core.spatial_ops import RadiusNeighbourFinder, KNNInterpolate
  from torch_points3d.utils.enums import ConvolutionFormat
  from torch_points3d.datasets.multiscale_data import MultiScaleBatch
label_desc: Use image node_id 14 for calling the Testhelpers obj's underlying member method code with example usage: obj.test_scalePos() without return types