code: def _assert_fused_predict_f_equals_precomputed_predict_f_and_conditional(
      posterior: AbstractPosterior,
      conditional_closure: ConditionalClosure,
      full_cov: bool,
      full_output_cov: bool,
  ) -> None:
      Xnew = np.random.randn(13, INPUT_DIMS)
  
      fused_f_mean, fused_f_cov = posterior.fused_predict_f(
          Xnew, full_cov=full_cov, full_output_cov=full_output_cov
      )
  
      precomputed_f_mean, precomputed_f_cov = posterior.predict_f(
          Xnew, full_cov=full_cov, full_output_cov=full_output_cov
      )
  
      conditional_f_mean, conditional_f_cov = conditional_closure(
          Xnew, full_cov=full_cov, full_output_cov=full_output_cov
      )
  
      np.testing.assert_allclose(fused_f_mean, precomputed_f_mean)
      np.testing.assert_allclose(fused_f_cov, precomputed_f_cov)
      np.testing.assert_array_equal(fused_f_mean, conditional_f_mean)
      np.testing.assert_array_equal(fused_f_cov, conditional_f_cov)
  
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 7 for calling a global function with example usage: _assert_fused_predict_f_equals_precomputed_predict_f_and_conditional(posterior, conditional_closure, full_cov, full_output_cov) without return types