code: def laplace_approximate_logaddexp(op, model, guide, approx_vars):
      point = compute_argmax(guide, approx_vars)
      hessian = compute_hessian(model, approx_vars)
      assert deep_isinstance(hessian, GaussianMixture)
      total = model(**point).reduce(ops.logaddexp, approx_vars)
      return total + hessian
  
imports: from collections import OrderedDict
  from functools import reduce, singledispatch
  from funsor.cnf import Contraction, GaussianMixture
  from funsor.delta import Delta
  from funsor.gaussian import Gaussian, _compute_offsets
  from funsor.instrument import debug_logged
  from funsor.integrate import Integrate
  from funsor.interpretations import DispatchedInterpretation
  from funsor.tensor import Tensor, align_tensor
  from funsor.terms import Approximate, Funsor
  from funsor.typing import deep_isinstance
  from .None import ops
label_desc: Use image node_id 3 for calling a global function with example usage: laplace_approximate_logaddexp(op, model, guide, approx_vars) and returns: unknown