code: def test_active_dims_list(self):
      kernel = self.create_kernel_no_ard(active_dims=[0, 2, 4, 6])
      x = self.create_data_no_batch()
      covar_mat = kernel(x).evaluate_kernel().to_dense()
      randn_weights = kernel.randn_weights
      kernel_basic = self.create_kernel_no_ard()
      kernel_basic._init_weights(randn_weights=randn_weights)
      covar_mat_actual = (
          kernel_basic(x[:, [0, 2, 4, 6]]).evaluate_kernel().to_dense()
      )
  
      self.assertLess(
          torch.norm(covar_mat - covar_mat_actual)
          / covar_mat_actual.norm(),
          1e-4,
      )
  
imports: import unittest
  from unittest.mock import MagicMock, patch
  import linear_operator
  import torch
  import gpytorch
  from gpytorch.kernels import RFFKernel
  from gpytorch.test.base_kernel_test_case import BaseKernelTestCase
label_desc: Use image node_id 3 for calling the TestRFFKernel obj's underlying member method code with example usage: obj.test_active_dims_list() without return types