def setUp(self) -> None:
hypercubic_setting.HypercubicSetting(beta=1.0,
dimension=2,
system_length=1.0)
setting.set_number_of_node_levels(1)
setting.set_number_of_nodes_per_root_node(1)
setting.set_number_of_root_nodes(1)
self._estimator_mock = mock.MagicMock(spec_set=Estimator)
self._estimator_mock.derivative_bound.side_effect = mock_derivative_bound
self._estimator_mock.charge_correction_factor = mock_charge_correction_factor
# self._cells has the cell 0 with cell_min at the origin as the zero cell.
self._cells = CuboidPeriodicCells(cells_per_side=[4, 4],
neighbor_layers=1)
self._cell_bounding_potential_without_charge = CellBoundingPotential(
estimator=self._estimator_mock)
self._cell_bounding_potential_with_charge = CellBoundingPotential(
estimator=self._estimator_mock)
# Redirect stdout to the null device while initializing the estimator
with open(os.devnull, 'w') as devnull:
with contextlib.redirect_stdout(devnull):
self._cell_bounding_potential_without_charge.initialize(
self._cells, False)
self._cell_bounding_potential_with_charge.initialize(
self._cells, True)
def test_reset(self):
setting.set_number_of_root_nodes(5)
setting.set_number_of_nodes_per_root_node(3)
setting.set_number_of_node_levels(2)
setting.reset()
self.assertIsNone(setting.beta)
self.assertIsNone(hypercubic_setting.beta)
self.assertIsNone(hypercuboid_setting.beta)
self.assertIsNone(setting.dimension)
self.assertIsNone(hypercubic_setting.dimension)
self.assertIsNone(hypercuboid_setting.dimension)
self.assertIsNone(setting.random_position)
self.assertIsNone(hypercubic_setting.random_position)
self.assertIsNone(hypercuboid_setting.random_position)
self.assertIsNone(setting.periodic_boundaries)
self.assertIsNone(hypercubic_setting.periodic_boundaries)
self.assertIsNone(hypercuboid_setting.periodic_boundaries)
self.assertIsNone(setting.number_of_root_nodes)
self.assertIsNone(hypercubic_setting.number_of_root_nodes)
self.assertIsNone(hypercuboid_setting.number_of_root_nodes)
self.assertIsNone(setting.number_of_nodes_per_root_node)
self.assertIsNone(hypercubic_setting.number_of_nodes_per_root_node)
self.assertIsNone(hypercuboid_setting.number_of_nodes_per_root_node)
self.assertIsNone(setting.number_of_node_levels)
self.assertIsNone(hypercubic_setting.number_of_node_levels)
self.assertIsNone(hypercuboid_setting.number_of_node_levels)
self.assertIsNone(hypercubic_setting.system_length)
self.assertIsNone(hypercuboid_setting.system_lengths)
self.assertIsNone(hypercubic_setting.system_length_over_two)
self.assertIsNone(hypercuboid_setting.system_lengths_over_two)
def __init__(self, random_node_creator: RandomNodeCreator,
number_of_root_nodes: int) -> None:
"""
The constructor of the RandomInputHandler class.
The constructor sets the number of root nodes, the number of nodes per root node and the number of node levels
in the setting package.
Parameters
----------
random_node_creator : input_output_handler.input_handler.random_node_creator.RandomNodeCreator
The random node creator which creates a single random root node.
number_of_root_nodes : int
The number of root nodes to create.
"""
log_init_arguments(
logging.getLogger(__name__).debug,
self.__class__.__name__,
random_node_creator=random_node_creator.__class__.__name__,
number_of_root_nodes=number_of_root_nodes)
super().__init__()
setting.set_number_of_root_nodes(number_of_root_nodes)
setting.set_number_of_nodes_per_root_node(
random_node_creator.number_of_nodes_per_root_node)
setting.set_number_of_node_levels(
random_node_creator.number_of_node_levels)
self._random_node_creator = random_node_creator
def setUp(self) -> None:
hypercubic_setting.HypercubicSetting(beta=1.0,
dimension=3,
system_length=1.0)
setting.set_number_of_node_levels(2)
self._event_handler_to_root_unit_motion = RootLeafUnitActiveSwitcher(
chain_length=0.5, aim_mode="root_unit_active")
self._event_handler_to_leaf_unit_motion = RootLeafUnitActiveSwitcher(
chain_length=0.7, aim_mode="leaf_unit_active")
def test_number_of_node_levels_one_raises_error(self):
setting.reset()
hypercubic_setting.HypercubicSetting(beta=1.0,
dimension=3,
system_length=1.0)
setting.set_number_of_node_levels(1)
with self.assertRaises(ConfigurationError):
self._event_handler_to_root_unit_motion = RootLeafUnitActiveSwitcher(
chain_length=0.5, aim_mode="leaf_unit_active")
def setUp(self) -> None:
hypercubic_setting.HypercubicSetting(beta=1.0,
dimension=3,
system_length=1.0)
# Set these so the settings are initialized
setting.set_number_of_root_nodes(2)
setting.set_number_of_nodes_per_root_node(2)
setting.set_number_of_node_levels(1)
# noinspection PyArgumentEqualDefault
self._potential = InversePowerCoulombBoundingPotential(prefactor=1.6)
def test_initialized(self):
self.assertFalse(hypercubic_setting.initialized())
self.assertFalse(hypercuboid_setting.initialized())
setting.set_number_of_root_nodes(3)
self.assertFalse(hypercubic_setting.initialized())
self.assertFalse(hypercuboid_setting.initialized())
setting.set_number_of_nodes_per_root_node(1)
self.assertFalse(hypercubic_setting.initialized())
self.assertFalse(hypercuboid_setting.initialized())
setting.set_number_of_node_levels(1)
self.assertFalse(hypercubic_setting.initialized())
self.assertTrue(hypercuboid_setting.initialized())
def test_dimension_unequal_three_raises_error(self):
setting.reset()
hypercubic_setting.HypercubicSetting(beta=1.0,
dimension=2,
system_length=1.0)
# Set these so the settings are initialized
setting.set_number_of_root_nodes(2)
setting.set_number_of_nodes_per_root_node(2)
setting.set_number_of_node_levels(1)
with self.assertRaises(ConfigurationError):
self._potential = InversePowerCoulombBoundingPotential(
prefactor=1.6)
def setUpSystemLengthTwo(self) -> None:
hypercubic_setting.HypercubicSetting(beta=1.0,
dimension=3,
system_length=2.0)
setting.set_number_of_root_nodes(2)
setting.set_number_of_nodes_per_root_node(2)
setting.set_number_of_node_levels(1)
self._potential = MergedImageCoulombPotential(alpha=3.45,
fourier_cutoff=6,
position_cutoff=2,
prefactor=1.0)
self._variant_potential = MergedImageCoulombPotential(
alpha=5.0, fourier_cutoff=9, position_cutoff=2)
def test_dimension_unequal_three_raises_error(self):
hypercubic_setting.HypercubicSetting(beta=1.0,
dimension=2,
system_length=1.0)
setting.set_number_of_root_nodes(2)
setting.set_number_of_nodes_per_root_node(2)
setting.set_number_of_node_levels(1)
with self.assertRaises(ConfigurationError):
MergedImageCoulombPotential(alpha=3.45,
fourier_cutoff=6,
position_cutoff=2,
prefactor=1.0)
setting.reset()
hypercubic_setting.HypercubicSetting(beta=1.0,
dimension=1,
system_length=1.0)
setting.set_number_of_root_nodes(2)
setting.set_number_of_nodes_per_root_node(2)
setting.set_number_of_node_levels(1)
with self.assertRaises(ConfigurationError):
MergedImageCoulombPotential(alpha=3.45,
fourier_cutoff=6,
position_cutoff=2,
prefactor=1.0)
def test_integer_casting_number_of_node_levels(self):
setting.set_number_of_node_levels(1.3)
self.assertEqual(setting.number_of_node_levels, 1)
self.assertIsNone(hypercubic_setting.number_of_node_levels)
self.assertEqual(hypercuboid_setting.number_of_node_levels, 1)
def test_negative_number_of_node_levels_larger_than_two_raises_error(self):
with self.assertRaises(AttributeError):
setting.set_number_of_node_levels(3)
def test_number_of_node_levels_zero_raises_error(self):
with self.assertRaises(AttributeError):
setting.set_number_of_node_levels(0)
def test_set_number_of_node_levels(self):
setting.set_number_of_node_levels(2)
self.assertEqual(setting.number_of_node_levels, 2)
self.assertIsNone(hypercubic_setting.number_of_node_levels)
self.assertEqual(hypercuboid_setting.number_of_node_levels, 2)
