code: def test_exceptions(self):
      for case, mll in self.mlls.items():
          self._test_exceptions(mll, self.checkpoints[case])
  
imports: import math
  from contextlib import ExitStack, nullcontext
  from itertools import filterfalse, product
  from typing import Callable, Iterable, Optional
  from unittest.mock import MagicMock, patch
  from warnings import catch_warnings, warn, WarningMessage
  import torch
  from botorch import fit
  from botorch.exceptions.errors import ModelFittingError, UnsupportedError
  from botorch.exceptions.warnings import OptimizationWarning
  from botorch.models import SingleTaskGP, SingleTaskVariationalGP
  from botorch.models.transforms.input import Normalize
  from botorch.models.transforms.outcome import Standardize
  from botorch.optim.closures import get_loss_closure_with_grads
  from botorch.optim.fit import fit_gpytorch_mll_scipy, fit_gpytorch_mll_torch
  from botorch.optim.utils import get_data_loader
  from botorch.settings import debug
  from botorch.utils.context_managers import module_rollback_ctx, requires_grad_ctx, TensorCheckpoint
  from botorch.utils.testing import BotorchTestCase
  from gpytorch.kernels import MaternKernel
  from gpytorch.mlls import ExactMarginalLogLikelihood, VariationalELBO
  from linear_operator.utils.errors import NotPSDError
label_desc: Use image node_id 4 for calling the TestFitFallback obj's underlying member method code with example usage: obj.test_exceptions() without return types