import numpy as np
from SimPleAC_save import save_obj, load_obj
from SimPleAC_pof_simulate import pof_parameters
import pickle as pickle
from gpkit.small_scripts import mag
if __name__ == "__main__":
# Retrieving pof parameters
[
model, methods, gammas, number_of_iterations,
min_num_of_linear_sections, max_num_of_linear_sections, verbosity,
linearization_tolerance, number_of_time_average_solves,
uncertainty_sets, nominal_solution, directly_uncertain_vars_subs,
parallel, nominal_number_of_constraints, nominal_solve_time
] = pof_parameters()
# # Loading margins results
margin = {}
nmargins = len(gammas)
margins = np.linspace(0., 1., nmargins)
margin['solutions'] = {}
for i in range(nmargins):
margin['solutions'][margins[i]] = pickle.load(
open("marginResults/" + str(margins[i]), 'rb'))
margin['number_of_constraints'] = load_obj('marginnumber_of_constraints',
'marginResults')
margin['simulation_results'] = load_obj('marginsimulation_results',
'marginResults')
from builtins import range
import numpy as np
from SimPleAC_setup import SimPleAC_setup
from SimPleAC_save import save_obj
from gpkit.small_scripts import mag
from gpkit import Model
from SimPleAC_pof_simulate import pof_parameters
from robust.simulations.simulate import RobustGPTools
import pickle as pickle
if __name__ == '__main__':
[model, methods, gammas, number_of_iterations,
min_num_of_linear_sections, max_num_of_linear_sections, verbosity, linearization_tolerance,
number_of_time_average_solves, uncertainty_sets, nominal_solution, directly_uncertain_vars_subs, parallel,
nominal_number_of_constraints, nominal_solve_time] = pof_parameters()
# Loading directly_uncertain_vars_subs
try:
pickle_in = open('directly_uncertain_dict.pickle', 'rb')
directly_uncertain_vars_subs = pickle.load(pickle_in)
pickle_in.close()
except:
print('Warning: Please run pof_simulate first for consistent MC results.')
nGammas = len(gammas)
solutions = {}
simulation_results = {}
number_of_constraints = {}
for i in range(nGammas):