code: def test_IncompatibleNumberOfWeights(self):
      Y = torch.ones(5, 2, 4, 3)
      objective_transform = get_objective_weights_transform(
          torch.tensor([1.0, 2.0])
      )
      with self.assertRaises(RuntimeError):
          objective_transform(Y)
  
imports: import torch
  from botorch.utils import apply_constraints, get_objective_weights_transform
  from botorch.utils.objective import compute_feasibility_indicator, compute_smoothed_feasibility_indicator, soft_eval_constraint
  from botorch.utils.testing import BotorchTestCase
  from torch import Tensor
label_desc: Use image node_id 3 for calling the TestGetObjectiveWeightsTransform obj's underlying member method code with example usage: obj.test_IncompatibleNumberOfWeights() without return types