code: def test_isa_evaluate():
      def square(x):
          return np.sum(x**2)
  
      search_space = search.SearchSpace(
          n_agents=10,
          n_variables=2,
          lower_bound=[0, 0],
          upper_bound=[10, 10],
      )
  
      new_isa = isa.ISA()
      new_isa.compile(search_space)
  
      new_isa.evaluate(search_space, square)
  
      assert search_space.best_agent.fit != constant.FLOAT_MAX
  
file_path: opytimizer/tests/opytimizer/optimizers/social/test_isa.py
imports: import numpy
  from opytimizer.optimizers.social import isa
  from opytimizer.spaces import search
  from opytimizer.utils import constant
label_desc: Use image node_id 4 for calling a global function with example usage: test_isa_evaluate() and returns: np