code: def make_kernel() -> Kernel:
      return gpflow.kernels.SquaredExponential()
  
imports: from typing import Any, Callable, Sequence
  import numpy
  import pytest
  import tensorflow
  import gpflow
  import gpflow.inducing_variables.multioutput
  import gpflow.kernels.multioutput
  from gpflow import covariances
  from gpflow.inducing_variables import InducingVariables
  from gpflow.kernels import Kernel
label_desc: Use image node_id 1 for calling a global function with example usage: make_kernel() and returns: gpflow