code: def _register_posterior_test_fixture(
      tested_posteriors: DefaultDict[str, Set[Type[AbstractPosterior]]]
  ) -> RegisterPosterior:
      def _verify_and_register_posterior_test(
          posterior: AbstractPosterior,
          expected_posterior_class: Type[AbstractPosterior],
      ) -> None:
          assert isinstance(posterior, expected_posterior_class)
          tested_posteriors["test_posteriors.py"].add(
              expected_posterior_class
          )
  
      return _verify_and_register_posterior_test
  
imports: from typing import Any, Callable, DefaultDict, Optional, Set, Type, cast
  import numpy
  import pytest
  import tensorflow
  from _pytest.fixtures import SubRequest
  from check_shapes import check_shapes
  import gpflow
  import gpflow.ci_utils
  from gpflow.base import TensorType
  from gpflow.conditionals import conditional
  from gpflow.inducing_variables import InducingPoints, InducingVariables
  from gpflow.kernels import Kernel
  from gpflow.likelihoods import Gaussian
  from gpflow.mean_functions import Zero
  from gpflow.models.util import inducingpoint_wrapper
  from gpflow.posteriors import AbstractPosterior, FallbackIndependentLatentPosterior, FullyCorrelatedPosterior, GPRPosterior, IndependentPosteriorMultiOutput, IndependentPosteriorSingleOutput, LinearCoregionalizationPosterior, PrecomputeCacheType, SGPRPosterior, VGPPosterior, create_posterior
label_desc: Use image node_id 1 for calling a global function with example usage: _register_posterior_test_fixture(tested_posteriors) and returns: _verify_and_register_posterior_test