def test_parameter_example(self):
from pyomo.contrib.sensitivity_toolbox.examples.parameter import run_example
d = run_example()
d_correct = {
'eta1': 4.5,
'eta2': 1.0,
'x1_init': 0.15,
'x2_init': 0.15,
'x3_init': 0.0,
'cost_sln': 0.5,
'x1_sln': 0.5,
'x2_sln': 0.5,
'x3_sln': 0.0,
'eta1_pert': 4.0,
'eta2_pert': 1.0,
'x1_pert': 0.3333333,
'x2_pert': 0.6666667,
'x3_pert': 0.0,
'cost_pert': 0.55555556
}
for k in d_correct.keys():
# Check each element of the 'correct' dictionary against the returned
# dictionary to 3 decimal places
self.assertAlmostEqual(d[k], d_correct[k], 3)
def test_parameter_example(self):
d = param_ex.run_example()
d_correct = {
'eta1': 4.5,
'eta2': 1.0,
'x1_init': 0.15,
'x2_init': 0.15,
'x3_init': 0.0,
'cost_sln': 0.5,
'x1_sln': 0.5,
'x2_sln': 0.5,
'x3_sln': 0.0,
'eta1_pert': 4.0,
'eta2_pert': 1.0,
'x1_pert': 0.3333333,
'x2_pert': 0.6666667,
'x3_pert': 0.0,
'cost_pert': 0.55555556
}
for k in d_correct.keys():
# Check each element of the 'correct' dictionary against the returned
# dictionary to 3 decimal places
self.assertAlmostEqual(d[k], d_correct[k], 3)