code: def test_deterministic_sampler(self):
      # Basic usage.
      samples = torch.rand(1, 2)
      posterior = MockPosterior(samples=samples)
      sampler = DeterministicSampler(sample_shape=torch.Size([2]))
      self.assertTrue(
          torch.equal(samples.repeat(2, 1, 1), sampler(posterior))
      )
  
      # Test _update_base_samples.
      sampler._update_base_samples(
          posterior=posterior,
          base_sampler=sampler,
      )
  
imports: import torch
  from botorch.sampling.deterministic import DeterministicSampler
  from botorch.utils.testing import BotorchTestCase, MockPosterior
label_desc: Use image node_id 1 for calling the TestDeterministicSampler obj's underlying member method code with example usage: obj.test_deterministic_sampler() without return types