code: def test_NormalQMCEngineSeeded(self):
      # test even dimension
      engine = NormalQMCEngine(d=2, seed=12345)
      samples = engine.draw(n=2)
      self.assertEqual(samples.dtype, torch.float)
      self.assertEqual(samples.shape, torch.Size([2, 2]))
      # test odd dimension
      engine = NormalQMCEngine(d=3, seed=12345)
      samples = engine.draw(n=2)
      self.assertEqual(samples.shape, torch.Size([2, 3]))
  
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 3 for calling the NormalQMCTests obj's underlying member method code with example usage: obj.test_NormalQMCEngineSeeded() without return types