code: def test_csa_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_csa = csa.CSA()
      new_csa.compile(search_space)
  
      new_csa.evaluate(search_space, square)
  
file_path: opytimizer/tests/opytimizer/optimizers/swarm/test_csa.py
imports: import numpy
  from opytimizer.optimizers.swarm import csa
  from opytimizer.spaces import search
label_desc: Use image node_id 4 for calling a global function with example usage: test_csa_evaluate() and returns: np