Update pypop7/optimizers/ds/test_nm.py

pypop7/optimizers/ds/test_nm.py

@@ -9,6 +9,6 @@ def test_optimize():
     options = {'max_function_evaluations': 5000,  # to set optimizer options
                'seed_rng': 2022}
     nm = NM(problem, options)  # to initialize the black-box optimizer class
-    results = nm.optimize()  # to run its optimization/evolution process
+    results = nm.optimize()  # to run its optimization process
     assert results['n_function_evaluations'] == 5000
     assert results['best_so_far_y'] < 1.0