code: def test_inverse_lengthscale_transform(self):
      tkwargs = {"device": self.device, "dtype": torch.float64}
      kernel = MaternKernel(nu=2.5, ard_num_dims=3).to(**tkwargs)
      with self.assertRaisesRegex(
          RuntimeError, "does not implement `lengthscale`"
      ):
          InverseLengthscaleTransform(ScaleKernel(kernel))
  
      x = torch.rand(3, 3, **tkwargs)
      transform = InverseLengthscaleTransform(kernel)
      self.assertTrue(
          transform(x).equal(kernel.lengthscale.reciprocal() * x)
      )
  
imports: from __future__ import annotations
  from unittest.mock import patch
  import torch
  from botorch.models import SingleTaskGP, SingleTaskVariationalGP
  from botorch.models.model_list_gp_regression import ModelListGP
  from botorch.models.transforms.input import Normalize
  from botorch.models.transforms.outcome import Standardize
  from botorch.sampling.pathwise.utils import get_input_transform, get_output_transform, get_train_inputs, get_train_targets, InverseLengthscaleTransform, OutcomeUntransformer
  from botorch.utils.context_managers import delattr_ctx
  from botorch.utils.testing import BotorchTestCase
  from gpytorch.kernels import MaternKernel, ScaleKernel
label_desc: Use image node_id 1 for calling the TestTransforms obj's underlying member method code with example usage: obj.test_inverse_lengthscale_transform() without return types