code: def test_construct_parameter_from_existing_parameter_check_prior() -> (
      None
  ):
      prior = tfp.distributions.Normal(0.0, 1.0)
      initial_parameter = gpflow.Parameter([1.2, 1.1], prior=prior)
      new_parameter = gpflow.Parameter(initial_parameter)
  
      assert new_parameter.prior == prior
  
imports: import tempfile
  from typing import Sequence
  import numpy
  import pytest
  import tensorflow
  import tensorflow_probability
  import gpflow
  from gpflow.base import AnyNDArray, PriorOn, TensorData
  from gpflow.config import default_float
  from gpflow.utilities import positive, triangular
label_desc: Use image node_id 8 for calling a global function with example usage: test_construct_parameter_from_existing_parameter_check_prior() without return types