def gene_FVA(model, obj_percentage=0, reactions=None, constraints=None):
if constraints:
constraints = model.convert_constraints(constraints)
if not reactions:
reactions = [r_id for r_id in model.reactions if r_id.startswith('u_')]
result = FVA(model, obj_percentage, reactions, constraints)
return result
def test_fva_single(self):
variability = FVA(ec_core_model, reactions=['R_EX_ac_e'])
self.assertTrue(all([lb <= ub if lb is not None and ub is not None else True
for lb, ub in variability.values()]))
self.assertEqual(1, len(variability))
def testRun(self):
model = load_sbml_model(SMALL_TEST_MODEL, kind=GPR_CONSTRAINED)
fix_bigg_model(model)
variability = FVA(model)
self.assertTrue(all([lb <= ub if lb is not None and ub is not None else True
for lb, ub in variability.values()]))
def test_fva_full(self):
variability = FVA(ec_core_model)
self.assertTrue(all([lb <= ub if lb is not None and ub is not None else True
for lb, ub in variability.values()]))
self.assertEqual(len(ec_core_model.reactions), len(variability))
