def test_set_up(self):
model = pybamm.lead_acid.LOQS()
optimtest = tests.OptimisationsTest(model)
optimtest.set_up_model(simplify=False, to_python=True)
optimtest.set_up_model(simplify=True, to_python=True)
optimtest.set_up_model(simplify=False, to_python=False)
optimtest.set_up_model(simplify=True, to_python=False)
def test_set_up(self):
model = pybamm.lithium_ion.DFN()
optimtest = tests.OptimisationsTest(model)
optimtest.set_up_model(simplify=False, to_python=True)
optimtest.set_up_model(simplify=False, to_python=False)
optimtest.set_up_model(simplify=True, to_python=True)
optimtest.set_up_model(simplify=True, to_python=False)
def test_set_up(self):
options = {"thermal": "isothermal", "convection": False}
model = pybamm.lead_acid.FOQS(options)
optimtest = tests.OptimisationsTest(model)
optimtest.set_up_model(simplify=False, to_python=True)
optimtest.set_up_model(simplify=True, to_python=True)
optimtest.set_up_model(simplify=False, to_python=False)
optimtest.set_up_model(simplify=True, to_python=False)
def test_optimisations(self):
options = {"surface form": "differential"}
model = pybamm.lead_acid.Full(options)
optimtest = tests.OptimisationsTest(model)
original = optimtest.evaluate_model()
using_known_evals = optimtest.evaluate_model(use_known_evals=True)
np.testing.assert_array_almost_equal(original, using_known_evals)
def test_set_up(self):
options = {"surface form": "differential"}
model = pybamm.lead_acid.Full(options)
optimtest = tests.OptimisationsTest(model)
optimtest.set_up_model(simplify=False, to_python=True)
optimtest.set_up_model(simplify=True, to_python=True)
# optimtest.set_up_model(simplify=False, to_python=False)
optimtest.set_up_model(simplify=True, to_python=False)
def test_optimisations(self):
model = pybamm.lead_acid.FOQS()
optimtest = tests.OptimisationsTest(model)
original = optimtest.evaluate_model()
using_known_evals = optimtest.evaluate_model(use_known_evals=True)
to_python = optimtest.evaluate_model(to_python=True)
np.testing.assert_array_almost_equal(original, using_known_evals)
np.testing.assert_array_almost_equal(original, to_python)
def test_optimisations(self):
options = {"thermal": "isothermal"}
model = pybamm.lithium_ion.DFN(options)
optimtest = tests.OptimisationsTest(model)
original = optimtest.evaluate_model()
using_known_evals = optimtest.evaluate_model(use_known_evals=True)
to_python = optimtest.evaluate_model(to_python=True)
np.testing.assert_array_almost_equal(original, using_known_evals)
np.testing.assert_array_almost_equal(original, to_python)
def test_optimisations(self):
options = {"side reactions": ["oxygen"], "surface form": "differential"}
model = pybamm.lead_acid.Full(options)
optimtest = tests.OptimisationsTest(model)
original = optimtest.evaluate_model()
simplified = optimtest.evaluate_model(simplify=True)
using_known_evals = optimtest.evaluate_model(use_known_evals=True)
simp_and_known = optimtest.evaluate_model(simplify=True, use_known_evals=True)
np.testing.assert_array_almost_equal(original, simplified, decimal=5)
np.testing.assert_array_almost_equal(original, using_known_evals)
np.testing.assert_array_almost_equal(original, simp_and_known, decimal=5)
def test_optimisations(self):
model = pybamm.lead_acid.LOQS()
optimtest = tests.OptimisationsTest(model)
original = optimtest.evaluate_model()
simplified = optimtest.evaluate_model(simplify=True)
using_known_evals = optimtest.evaluate_model(use_known_evals=True)
simp_and_known = optimtest.evaluate_model(simplify=True, use_known_evals=True)
simp_and_python = optimtest.evaluate_model(simplify=True, to_python=True)
np.testing.assert_array_almost_equal(original, simplified)
np.testing.assert_array_almost_equal(original, using_known_evals)
np.testing.assert_array_almost_equal(original, simp_and_known)
np.testing.assert_array_almost_equal(original, simp_and_python)
def test_optimisations(self):
options = {"thermal": "isothermal"}
model = pybamm.lithium_ion.SPM(options)
optimtest = tests.OptimisationsTest(model)
original = optimtest.evaluate_model()
simplified = optimtest.evaluate_model(simplify=True)
using_known_evals = optimtest.evaluate_model(use_known_evals=True)
simp_and_known = optimtest.evaluate_model(simplify=True, use_known_evals=True)
simp_and_python = optimtest.evaluate_model(simplify=True, to_python=True)
np.testing.assert_array_almost_equal(original, simplified)
np.testing.assert_array_almost_equal(original, using_known_evals)
np.testing.assert_array_almost_equal(original, simp_and_known)
np.testing.assert_array_almost_equal(original, simp_and_python)
def test_optimisations(self):
options = {"surface form": "differential"}
model = pybamm.lead_acid.Composite(options)
optimtest = tests.OptimisationsTest(model)
original = optimtest.evaluate_model()
simplified = optimtest.evaluate_model(simplify=True)
using_known_evals = optimtest.evaluate_model(use_known_evals=True)
simp_and_known = optimtest.evaluate_model(simplify=True,
use_known_evals=True)
simp_and_python = optimtest.evaluate_model(simplify=True,
to_python=True)
np.testing.assert_array_almost_equal(original, simplified)
np.testing.assert_array_almost_equal(original, using_known_evals)
np.testing.assert_array_almost_equal(original, simp_and_known)
np.testing.assert_array_almost_equal(original, simp_and_python)
def test_set_up(self):
model = pybamm.lithium_ion.SPMe()
optimtest = tests.OptimisationsTest(model)
optimtest.set_up_model(to_python=True)
optimtest.set_up_model(to_python=False)
def test_set_up(self):
options = {"thermal": "isothermal"}
model = pybamm.lead_acid.Full(options)
optimtest = tests.OptimisationsTest(model)
optimtest.set_up_model(to_python=True)
optimtest.set_up_model(to_python=False)
def test_set_up(self):
model = pybamm.lead_acid.Composite()
optimtest = tests.OptimisationsTest(model)
optimtest.set_up_model(to_python=True)
optimtest.set_up_model(to_python=False)
