Remove debug print and expand comment in best_of loop

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: Transurgeon

cvxpy/reductions/solvers/nlp_solving_chain.py

@@ -198,14 +198,17 @@ def solve_nlp(problem, solver, warm_start, verbose, **kwargs):
         solution = nlp_chain.solver.solve_via_data(canon_problem, warm_start,
                                                    verbose, solver_opts=kwargs)
 
-        # Unpack to get the objective value in the original problem space
+        # Unpack to get the objective value in the original problem space.
+        # If we do obj_value = canon_problem['objective'] we get the objective
+        # value of the canonicalized problem which can be slightly different
+        # from that of the original NLP. We therefore implement this approach
+        # based on unpacking.
         problem.unpack_results(solution, nlp_chain, inverse_data)
         obj_value = problem.objective.value
 
         all_objs[run] = obj_value
         if obj_value < best_obj:
             best_obj = obj_value
-            print("best_obj: ", best_obj)
             best_solution = solution
 
     # Unpack best solution