def test__add_objective_variable__type_invalid():
obj_var_name = 'obj_2'
obj_opt_type = 'invalid'
obj_constraints = []
moo = MultiObjectiveOptimization()
with pytest.raises(AssertionError):
moo.add_objective_variable(name=obj_var_name,
optimization_type=obj_opt_type)
def test__add_objective_variable__type_max():
obj_var_name = 'obj_2'
obj_opt_type = 'max'
obj_constraints = []
moo = MultiObjectiveOptimization()
moo.add_objective_variable(name=obj_var_name,
optimization_type=obj_opt_type)
assert isinstance(moo.objective_variables, OrderedDict)
assert obj_var_name in moo.objective_variables
assert moo.objective_variables[obj_var_name]['optimization_type'] \
== obj_opt_type
assert moo.objective_variables[obj_var_name]['constraints'] \
== obj_constraints
def dev____str__():
moo = MultiObjectiveOptimization()
moo.add_design_variable(name='design_1', constraints=[['>', 0]])
moo.add_design_variable(name='design_2')
moo.add_objective_variable(name='optimization_1',
optimization_type='min',
constraints=[['>', 0]])
print(moo)
def dev__add_design_variable():
moo = MultiObjectiveOptimization()
moo.add_design_variable(name='design_1')
moo.add_design_variable(name='design_2')
moo.add_design_variable(name='design_2',
constraints=[
['<',1.0],
['>',0.0]
])
moo.add_design_variable(name='design_3',
constraints=[
['=',0.0]
])
print(moo.design_variables)
def test____init__():
moo = MultiObjectiveOptimization()
assert isinstance(moo.design_variables, OrderedDict)
assert isinstance(moo.objective_variables, OrderedDict)
assert isinstance(moo.additional_design_constraints, list)
assert isinstance(moo.additional_objective_constraints, list)\
def dev____init__():
moo = MultiObjectiveOptimization()
def dev__add_objective_variable():
moo = MultiObjectiveOptimization()
moo.add_objective_variable(name='obj_1', optimization_type='min')
moo.add_objective_variable(name='obj_2', optimization_type='max')
print(moo.objective_variables)