code: def test_getitem(self):
      device = torch.device("cuda:0")
      clouds = self.init_cloud(3, 10, 100)
  
      def check_equal(selected, indices):
          for selectedIdx, index in indices:
              self.assertClose(
                  selected.points_list()[selectedIdx],
                  clouds.points_list()[index],
              )
              self.assertClose(
                  selected.normals_list()[selectedIdx],
                  clouds.normals_list()[index],
              )
              self.assertClose(
                  selected.features_list()[selectedIdx],
                  clouds.features_list()[index],
              )
  
      # int index
      index = 1
      clouds_selected = clouds[index]
      self.assertEqual(len(clouds_selected), 1)
      check_equal(clouds_selected, [(0, 1)])
  
      # list index
      index = [1, 2]
      clouds_selected = clouds[index]
      self.assertEqual(len(clouds_selected), len(index))
      check_equal(clouds_selected, enumerate(index))
  
      # slice index
      index = slice(0, 2, 1)
      clouds_selected = clouds[index]
      self.assertEqual(len(clouds_selected), 2)
      check_equal(clouds_selected, [(0, 0), (1, 1)])
  
      # bool tensor
      index = torch.tensor([1, 0, 1], dtype=torch.bool, device=device)
      clouds_selected = clouds[index]
      self.assertEqual(len(clouds_selected), index.sum())
      check_equal(clouds_selected, [(0, 0), (1, 2)])
  
      # int tensor
      index = torch.tensor([1, 2], dtype=torch.int64, device=device)
      clouds_selected = clouds[index]
      self.assertEqual(len(clouds_selected), index.numel())
      check_equal(clouds_selected, enumerate(index.tolist()))
  
      # invalid index
      index = torch.tensor(
          [1, 0, 1], dtype=torch.float32, device=device
      )
      with self.assertRaises(IndexError):
          clouds_selected = clouds[index]
      index = 1.2
      with self.assertRaises(IndexError):
          clouds_selected = clouds[index]
  
imports: import itertools
  import random
  import unittest
  import numpy
  import torch
  from pytorch3d.structures import utils
  from pytorch3d.structures.pointclouds import join_pointclouds_as_batch, join_pointclouds_as_scene, Pointclouds
  from .common_testing import TestCaseMixin
label_desc: Use image node_id 24 for calling the TestPointclouds obj's underlying member method code with example usage: obj.test_getitem() without return types