code: def test_column_wise_clamp_raise_on_violation(self):
      X = self.X
      with self.assertRaises(BotorchError):
          X_clmp = columnwise_clamp(
              X, torch.zeros(2), torch.ones(2), raise_on_violation=True
          )
      X_clmp = columnwise_clamp(
          X,
          torch.tensor([-3, -3]),
          torch.tensor([3, 3]),
          raise_on_violation=True,
      )
      self.assertTrue(torch.equal(X_clmp, X))
  
imports: from __future__ import annotations
  import warnings
  import torch
  from botorch import settings
  from botorch.acquisition.fixed_feature import FixedFeatureAcquisitionFunction
  from botorch.acquisition.monte_carlo import qExpectedImprovement, qNoisyExpectedImprovement
  from botorch.acquisition.multi_objective.max_value_entropy_search import qMultiObjectiveMaxValueEntropy
  from botorch.acquisition.multi_objective.monte_carlo import qExpectedHypervolumeImprovement, qNoisyExpectedHypervolumeImprovement
  from botorch.exceptions import BotorchError
  from botorch.exceptions.warnings import BotorchWarning
  from botorch.models import ModelListGP, SingleTaskGP
  from botorch.models.transforms.input import Warp
  from botorch.optim.utils import columnwise_clamp, fix_features, get_X_baseline
  from botorch.sampling.normal import IIDNormalSampler
  from botorch.utils.multi_objective.box_decompositions.non_dominated import FastNondominatedPartitioning
  from botorch.utils.testing import BotorchTestCase, MockModel, MockPosterior
label_desc: Use image node_id 6 for calling the TestColumnWiseClamp obj's underlying member method code with example usage: obj.test_column_wise_clamp_raise_on_violation() without return types