code: def test_NormalQMCEngineSeededOut(self):
      # test even dimension
      engine = NormalQMCEngine(d=2, seed=12345)
      out = torch.zeros(2, 2)
      self.assertIsNone(engine.draw(n=2, out=out))
      self.assertTrue(torch.all(out != 0))
      # test odd dimension
      engine = NormalQMCEngine(d=3, seed=12345)
      out = torch.empty(2, 3)
      self.assertIsNone(engine.draw(n=2, out=out))
      self.assertTrue(torch.all(out != 0))
  
imports: import itertools
  import math
  import numpy
  import torch
  from botorch.sampling.qmc import MultivariateNormalQMCEngine, NormalQMCEngine
  from botorch.utils.testing import BotorchTestCase
  from scipy.stats import shapiro
label_desc: Use image node_id 4 for calling the NormalQMCTests obj's underlying member method code with example usage: obj.test_NormalQMCEngineSeededOut() without return types