def setUp(self):
self._default = IterativeSolution()
self._value1 = numpy.array([1.0, 2.0, 3.0])
self._value2 = numpy.array([4.0, 5.0, 6.0])
self._step1 = StepSolutionData(value=self._value1, time_point=1.0)
self._step2 = StepSolutionData(value=self._value2, time_point=1.5)
self._step3 = StepSolutionData(value=self._value1, time_point=1.5)
self._step4 = StepSolutionData(value=self._value1, time_point=2.0)
self._traj1 = TrajectorySolutionData()
self._traj1.add_solution_data(value=self._value1, time_point=1.0)
self._traj1.add_solution_data(value=self._value2, time_point=1.5)
self._traj2 = TrajectorySolutionData()
self._traj2.add_solution_data(value=self._value1, time_point=1.0)
self._traj2.add_solution_data(value=self._value1, time_point=1.5)
self._traj3 = TrajectorySolutionData()
self._traj3.add_solution_data(value=self._value1, time_point=1.0)
self._traj3.add_solution_data(value=self._value1, time_point=1.5)
self._traj3.add_solution_data(value=self._value2, time_point=2.0)
class FullSolutionTest(NumpyAwareTestCase):
def setUp(self):
self._default = IterativeSolution()
self._value1 = numpy.array([1.0, 2.0, 3.0])
self._value2 = numpy.array([4.0, 5.0, 6.0])
self._step1 = StepSolutionData(value=self._value1, time_point=1.0)
self._step2 = StepSolutionData(value=self._value2, time_point=1.5)
self._step3 = StepSolutionData(value=self._value1, time_point=1.5)
self._step4 = StepSolutionData(value=self._value1, time_point=2.0)
self._traj1 = TrajectorySolutionData()
self._traj1.add_solution_data(value=self._value1, time_point=1.0)
self._traj1.add_solution_data(value=self._value2, time_point=1.5)
self._traj2 = TrajectorySolutionData()
self._traj2.add_solution_data(value=self._value1, time_point=1.0)
self._traj2.add_solution_data(value=self._value1, time_point=1.5)
self._traj3 = TrajectorySolutionData()
self._traj3.add_solution_data(value=self._value1, time_point=1.0)
self._traj3.add_solution_data(value=self._value1, time_point=1.5)
self._traj3.add_solution_data(value=self._value2, time_point=2.0)
def test_adds_solutions_to_data_storage(self):
self._default.add_solution(self._traj1)
self.assertEqual(len(self._default.solutions), 1)
self._default.add_solution(self._traj2, iteration=0)
self.assertEqual(len(self._default.solutions), 2)
self.assertNumpyArrayEqual(self._default.time_points, numpy.array([1.0, 1.5]))
self.assertIsInstance(self._default.solution(0), TrajectorySolutionData)
def test_checks_consistency_of_time_points_on_add(self):
self._default.add_solution(self._traj1)
self._default.add_solution(self._traj2, iteration=0)
with warnings.catch_warnings(record=True) as w:
warnings.filterwarnings("always")
self._default.add_solution(self._traj3)
self.assertEqual(len(w), 1)
self.assertTrue(issubclass(w[-1].category, UserWarning))
def test_provides_accessor_for_single_solution(self):
self.assertIsNone(self._default.solution(-1),
"In case no solutions are stored, 'None' should always be returned.")
def test_provides_array_of_all_solution_data_storages(self):
self.assertEqual(self._default.solutions, [])
def test_provides_time_points(self):
self.assertIsNone(self._default.time_points)
def setUp(self):
self._default = TrajectorySolutionData()
self._element1 = StepSolutionData(
value=numpy.array([1.0, 2.0]),
time_point=0.0,
error=Error(numpy.array([1.0])),
residual=Residual(numpy.array([0.5])),
)
self._element2 = StepSolutionData(
value=numpy.array([1.0, 2.0]),
time_point=0.5,
error=Error(numpy.array([1.0])),
residual=Residual(numpy.array([0.5])),
)
class TrajectorySolutionDataTest(NumpyAwareTestCase):
def setUp(self):
self._default = TrajectorySolutionData()
self._element1 = StepSolutionData(
value=numpy.array([1.0, 2.0]),
time_point=0.0,
error=Error(numpy.array([1.0])),
residual=Residual(numpy.array([0.5])),
)
self._element2 = StepSolutionData(
value=numpy.array([1.0, 2.0]),
time_point=0.5,
error=Error(numpy.array([1.0])),
residual=Residual(numpy.array([0.5])),
)
def test_solutions_can_be_added(self):
self._default.add_solution_data(value=numpy.array([1.0, 2.0]), time_point=0.1)
self.assertEqual(self._default.data.size, 1)
self.assertNumpyArrayEqual(self._default.time_points, numpy.array([0.1]))
self.assertNumpyArrayEqual(self._default.values, numpy.array([[1.0, 2.0]]))
warnings.simplefilter("ignore") # each of the following tests emits a warning about failed consistency
self.assertRaises(ValueError, self._default.add_solution_data, value="not numpy.ndarray", time_point=1.0)
self.assertRaises(
ValueError, self._default.add_solution_data, value=numpy.array(["not", "object"]), time_point=1.0
)
self.assertRaises(
ValueError,
self._default.add_solution_data,
value=numpy.array(["is", "StepSolutionData", False], dtype=object),
time_point=1.0,
)
self.assertRaises(
ValueError, self._default.add_solution_data, value=numpy.array([1.0, 2.0, 3.0]), time_point=1.0
)
warnings.resetwarnings()
def test_provides_raw_data(self):
self.assertNumpyArrayEqual(self._default.data, numpy.zeros(0, dtype=numpy.object))
with self.assertRaises(AttributeError):
self._default.data = "read-only"
def test_provides_values(self):
self.assertNumpyArrayEqual(self._default.values, numpy.zeros(0, dtype=numpy.object))
with self.assertRaises(AttributeError):
self._default.values = "read-only"
def test_provides_time_points(self):
self.assertNumpyArrayEqual(self._default.time_points, numpy.zeros(0, dtype=numpy.float))
with self.assertRaises(AttributeError):
self._default.time_points = "read-only"
def test_provides_errors(self):
self.assertNumpyArrayEqual(self._default.errors, numpy.zeros(0, dtype=numpy.object))
with self.assertRaises(AttributeError):
self._default.errors = "read-only"
def test_provides_residuals(self):
self.assertNumpyArrayEqual(self._default.residuals, numpy.zeros(0, dtype=numpy.object))
with self.assertRaises(AttributeError):
self._default.residuals = "read-only"
def test_is_iterable(self):
self._default.append(self._element1)
self.assertTrue(self._element1 in self._default)
self.assertFalse(self._element2 in self._default)
self._default.append(self._element2)
self.assertEqual(len(self._default), 2)
self.assertEqual(self._default[0], self._element1)
self.assertEqual(self._default[1], self._element2)
self._default[1.0] = numpy.array([0.0, 0.5])
self.assertNumpyArrayEqual(self._default[2].value, numpy.array([0.0, 0.5]))
for elem in self._default:
self.assertIsInstance(elem, StepSolutionData)
