code: def test_NumpyTorchBestPoint(self) -> None:
      torch_model = TorchModel()
      x = torch_model.best_point(
          search_space_digest=self.search_space_digest,
          torch_opt_config=self.torch_opt_config,
      )
      self.assertIsNone(x)
  
file_path: Ax/ax/models/tests/test_torch.py
imports: import torch
  from ax.core.search_space import SearchSpaceDigest
  from ax.models.torch_base import TorchModel, TorchOptConfig
  from ax.utils.common.testutils import TestCase
  from botorch.utils.datasets import SupervisedDataset
label_desc: Use image node_id 5 for calling the TorchModelTest obj's underlying member method code with example usage: obj.test_NumpyTorchBestPoint() without return types