code: def black_box_function(x, y):
      """Function with unknown internals we wish to maximize.
  
      This is just serving as an example, for all intents and
      purposes think of the internals of this function, i.e.: the process
      which generates its output values, as unknown.
      """
      return -(x**2) - (y - 1) ** 2 + 1
  
file_path: BayesianOptimization/tests/test_seq_domain_red.py
imports: import numpy
  import pytest
  from bayes_opt import SequentialDomainReductionTransformer
  from bayes_opt import BayesianOptimization
  from bayes_opt.target_space import TargetSpace
label_desc: Use image node_id 1 for calling a global function with example usage: black_box_function(x, y) and returns: unknown