code: def _logaddexp(x, y):
      minval, maxval = (x, y) if x < y else (y, x)
      return (minval - maxval).exp().log1p() + maxval
  
file_path: pyro/pyro/infer/mcmc/nuts.py
imports: from collections import namedtuple
  import pyro
  import pyro.distributions
  from pyro.distributions.util import scalar_like
  from pyro.infer.autoguide import init_to_uniform
  from pyro.infer.mcmc.hmc import HMC
  from pyro.ops.integrator import potential_grad, velocity_verlet
  from pyro.util import optional, torch_isnan
label_desc: Use image node_id 1 for calling a global function with example usage: _logaddexp(x, y) and returns: unknown