code: def suggest(new_ids, domain, trials, seed, *args, **kwargs):
      (new_id,) = new_ids
      return AnnealingAlgo(domain, trials, seed, *args, **kwargs)(
          new_id
      )
  
imports: import logging
  import numpy
  from hyperopt.pyll.base import bincount
  from .pyll.stochastic import categorical, normal, lognormal, qnormal, qlognormal, uniform, loguniform, quniform, qloguniform
  from .base import miscs_to_idxs_vals
  from .algobase import SuggestAlgo, ExprEvaluator
label_desc: Use image node_id 1 for calling a global function with example usage: suggest(new_ids, domain, trials, seed) and returns: AnnealingAlgo