code: def test_initialize_power(self):
      kernel = LinearTruncatedFidelityKernel(
          fidelity_dims=[1, 2], dimension=3
      )
      kernel.initialize(power=1)
      actual_value = torch.tensor(1, dtype=torch.float).view_as(
          kernel.power
      )
      self.assertLess(
          torch.linalg.norm(kernel.power - actual_value), 1e-5
      )
  
imports: import itertools
  import torch
  from botorch.exceptions import UnsupportedError
  from botorch.models.kernels.linear_truncated_fidelity import LinearTruncatedFidelityKernel
  from botorch.utils.testing import BotorchTestCase
  from gpytorch.kernels.matern_kernel import MaternKernel
  from gpytorch.kernels.rbf_kernel import RBFKernel
  from gpytorch.priors.torch_priors import GammaPrior, NormalPrior
  from gpytorch.test.base_kernel_test_case import BaseKernelTestCase
label_desc: Use image node_id 9 for calling the TestLinearTruncatedFidelityKernel obj's underlying member method code with example usage: obj.test_initialize_power() without return types