code: def objective_function(opt):
      score = -opt["x1"] * opt["x1"]
      return score, {"additional stuff": 1}
  
imports: import numpy
  from hyperactive import Hyperactive
  from hyperactive.optimizers.strategies import CustomOptimizationStrategy
  from hyperactive.optimizers import HillClimbingOptimizer, RandomSearchOptimizer, BayesianOptimizer
label_desc: Use image node_id 1 for calling a global function with example usage: objective_function(opt) and returns: score,  dict