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from robust.robust import RobustModel 

from robust.signomial_simple_wing.models import simple_ac 

from robust.simulations.simulate import generate_model_properties 

from robust.robust_gp_tools import RobustGPTools 

model = simple_ac() # the SimPleAC model 

model_solution, _, _, directly_uncertain_vars_subs = generate_model_properties(model, 1, 1) # solving the SimPleAC 

# and generating a realization of the uncertain parameters 

robust_model = RobustModel(model, 'box') # generates the robust model 

robust_model_solution = robust_model.robustsolve(verbosity=0) # solve the robust model 

# Below, we are testing the SimPleAC model against failure. The free variables with attribute fixed=True are fixed using 

# the robust solution, and the uncertain parameters are replaced by the realizations generated above. The model is then 

# solved to check if a feasible solution exists. 

# designed_model = RobustGPTools.DesignedModel(model, robust_model_solution, directly_uncertain_vars_subs[0]) 

# designed_model.localsolve() 

# The designed model is not converging although it has the same set of constraints as the original model by with 

# different substitutions