code: def argmax_approximate_logaddexp(op, model, guide, approx_vars):
      result = model
      argmax = compute_argmax(guide, approx_vars)
      for name, point in argmax.items():
          result += Delta(name, point)
      return result
  
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 1 for calling a global function with example usage: argmax_approximate_logaddexp(op, model, guide, approx_vars) and returns: result