def test_fba_return_dims():
ensemble = construct_textbook_ensemble()
fba_fluxes = optimize_ensemble(ensemble)
rows = fba_fluxes.shape[0]
columns = fba_fluxes.shape[1]
assert rows == len(ensemble.members)
assert columns == len(ensemble.base_model.reactions)
def test_fba_random_sample():
# test return of FBA on randomly sampled ensemble members
ensemble = construct_mixed_ensemble()
nmodels = 2
fba_fluxes = optimize_ensemble(ensemble, num_models=nmodels)
rows = fba_fluxes.shape[0]
columns = fba_fluxes.shape[1]
assert rows == nmodels
assert columns == len(ensemble.base_model.reactions)
def test_fba_single_return():
# test return of flux values for a single reaction
ensemble = construct_textbook_ensemble()
fba_fluxes = optimize_ensemble(
ensemble, return_flux=ensemble.base_model.reactions[2].id)
rows = fba_fluxes.shape[0]
columns = fba_fluxes.shape[1]
assert rows == len(ensemble.members)
assert columns == 1
def test_fba_specific_models():
# test return of FBA on specific ensemble members
ensemble = construct_mixed_ensemble()
model1 = ensemble.members[0]
model2 = ensemble.members[1]
model_list = [model1, model2]
fba_fluxes = optimize_ensemble(ensemble, specific_models=model_list)
rows = fba_fluxes.shape[0]
columns = fba_fluxes.shape[1]
rownames = fba_fluxes.index
assert rows == len(model_list)
assert columns == len(ensemble.base_model.reactions)
assert rownames.contains(model1)
assert rownames.contains(model2)
