def main():
#initialize the problem
nexus = Nexus()
vehicle = vehicle_setup()
nexus.vehicle_configurations = configs_setup(vehicle)
nexus.analyses = Analyses.setup(nexus.vehicle_configurations)
nexus.missions = Missions.setup(nexus.analyses)
#problem = Data()
#nexus.optimization_problem = problem
nexus.procedure = setup()
nexus.sizing_loop = Sizing_Loop()
nexus.total_number_of_iterations = 0
evaluate_problem(nexus)
results = nexus.results
err = nexus.sizing_loop.norm_error
err_true = 0.00975078 #for 1E-2 tol
error = abs((err-err_true)/err)
print 'error = ', error
assert(error<1e-5), 'sizing loop regression failed'
#output=nexus._really_evaluate() #run; use optimization setup without inputs
return
def main():
#initialize the problem
nexus = Nexus()
vehicle = vehicle_setup()
nexus.vehicle_configurations = configs_setup(vehicle)
nexus.analyses = Analyses.setup(nexus.vehicle_configurations)
nexus.missions = Missions.setup(nexus.analyses)
problem = Data()
problem_inputs = np.array([
['dummy', 1., (.1, 10.), 1., ' continuous', Units.less],
['dummy2', 2., (.1, 10.), 1., ' continuous', Units.less],
]) #create dummy inputs for optimization to test io
problem.inputs = problem_inputs
nexus.optimization_problem = problem
nexus.procedure = setup()
sizing_loop = Sizing_Loop()
sizing_loop.output_filename = 'sizing_outputs.txt'
nexus.sizing_loop = sizing_loop
#create a fake array of data to test outputs
write_sizing_outputs(sizing_loop, np.array([6.]), [5., 5.])
write_sizing_outputs(sizing_loop, np.array([12.]), [4., 1.])
write_sizing_outputs(sizing_loop, np.array([11.]), [1., 3.])
nexus.total_number_of_iterations = 0
evaluate_problem(nexus)
results = nexus.results
err = nexus.sizing_loop.norm_error
err_true = 0.0008433474527249522 #for 1E-2 tol
error = abs((err - err_true) / err_true)
data_inputs, data_outputs, read_success = read_sizing_residuals(
sizing_loop, problem.inputs)
check_read_res = -0.06803060191281879
error_res = (data_outputs[1][0] - check_read_res) / check_read_res
#remove files for later
os.remove('sizing_outputs.txt')
os.remove('y_err_values.txt')
print('error = ', error)
print('error_res = ', error_res)
assert (error < 1e-4), 'sizing loop regression failed'
assert (error_res < 1e-4), 'sizing loop io failed'
return
def main():
#initialize the problem
nexus = Nexus()
vehicle = vehicle_setup()
nexus.vehicle_configurations = configs_setup(vehicle)
nexus.analyses = Analyses.setup(nexus.vehicle_configurations)
nexus.missions = Missions.setup(nexus.analyses)
nexus.procedure = setup()
nexus.sizing_loop = Sizing_Loop()
nexus.total_number_of_iterations = 0
evaluate_problem(nexus)
results = nexus.results
err = nexus.sizing_loop.norm_error
err_true = 0.0096907307307155348 #for 1E-2 tol
error = abs((err_true - err) / err_true)
print 'error = ', error
assert (error < 1e-6), 'sizing loop regression failed'
return
def main():
#initialize the problem
nexus = Nexus()
vehicle = vehicle_setup()
nexus.vehicle_configurations = configs_setup(vehicle)
nexus.analyses = Analyses.setup(nexus.vehicle_configurations)
nexus.missions = Missions.setup(nexus.analyses)
nexus.procedure = setup()
nexus.sizing_loop = Sizing_Loop()
nexus.total_number_of_iterations = 0
evaluate_problem(nexus)
results = nexus.results
err = nexus.sizing_loop.norm_error
err_true = 0.0096907307307155348#for 1E-2 tol
error = abs((err_true-err)/err_true)
print 'error = ', error
assert(error<1e-6), 'sizing loop regression failed'
return