code: def get_gpmc_model_params() -> Tuple[Any, ...]:
      kernel = gpflow.kernels.Matern32()
      likelihood = gpflow.likelihoods.Gaussian()
      data = [np.random.randn(5, 1), np.random.randn(5, 1)]
      return data, kernel, likelihood
  
imports: from typing import Any, Tuple, Type
  import numpy
  import pytest
  import tensorflow
  import tensorflow_probability
  from tensorflow_probability.python.bijectors import Exp
  from tensorflow_probability.python.distributions import Uniform
  import gpflow
  from gpflow.base import AnyNDArray, PriorOn
  from gpflow.config import set_default_float
  from gpflow.utilities import to_default_float
label_desc: Use image node_id 6 for calling a global function with example usage: get_gpmc_model_params() and returns: data,  kernel,  likelihood