code: def test_check_standardization(self):
      # Ensure that it is not filtered out.
      warnings.filterwarnings("always", category=InputDataWarning)
      Y = torch.randn(3, 4, 2)
      # check standardized input
      Yst = (Y - Y.mean(dim=-2, keepdim=True)) / Y.std(
          dim=-2, keepdim=True
      )
      with warnings.catch_warnings(record=True) as ws:
          check_standardization(Y=Yst)
      self.assertFalse(
          any(issubclass(w.category, InputDataWarning) for w in ws)
      )
      check_standardization(Y=Yst, raise_on_fail=True)
      # check nonzero mean
      with warnings.catch_warnings(record=True) as ws:
          check_standardization(Y=Yst + 1)
      self.assertTrue(
          any(issubclass(w.category, InputDataWarning) for w in ws)
      )
      self.assertTrue(
          any("not standardized" in str(w.message) for w in ws)
      )
      with self.assertRaises(InputDataError):
          check_standardization(Y=Yst + 1, raise_on_fail=True)
      # check non-unit variance
      with warnings.catch_warnings(record=True) as ws:
          check_standardization(Y=Yst * 2)
      self.assertTrue(
          any(issubclass(w.category, InputDataWarning) for w in ws)
      )
      self.assertTrue(
          any("not standardized" in str(w.message) for w in ws)
      )
      with self.assertRaises(InputDataError):
          check_standardization(Y=Yst * 2, raise_on_fail=True)
  
imports: import warnings
  import torch
  from botorch import settings
  from botorch.exceptions import InputDataError, InputDataWarning
  from botorch.models.utils import add_output_dim, check_min_max_scaling, check_no_nans, check_standardization, fantasize, gpt_posterior_settings, multioutput_to_batch_mode_transform, validate_input_scaling
  from botorch.models.utils.assorted import consolidate_duplicates, detect_duplicates
  from botorch.utils.testing import BotorchTestCase
  from gpytorch import settings
label_desc: Use image node_id 4 for calling the TestInputDataChecks obj's underlying member method code with example usage: obj.test_check_standardization() without return types