def test_Optimiser_check_lcoe_error(mocker):
# Fake the meta
meta = mocker.Mock()
test = Optimiser(meta, "Radial")
# Fake the results
test.lcoe = [np.inf, np.inf]
networks = [mocker.Mock(), mocker.Mock()]
for i, network in enumerate(networks):
network.i = i
network.array_constraints.flag = False
network.export_constraints.flag = False
network.lcoe = test.lcoe[i]
test.networks = networks
with pytest.raises(ValueError):
test.check_lcoe()
def test_Optimiser_check_lcoe(mocker):
# Fake the meta
meta = mocker.Mock()
test = Optimiser(meta, "Radial")
# Fake the results
test.lcoe = [2, 1]
networks = [mocker.Mock(), mocker.Mock()]
for i, network in enumerate(networks):
network.i = i
network.array_constraints.flag = False
network.export_constraints.flag = False
network.lcoe = test.lcoe[i]
test.networks = networks
result = test.check_lcoe()
assert result == 1