def test_time_step(self):
s = simulation.Simulation(time_step_nbr=1000,
boundary_types="periodic",
cells=80,
domain_size=10,
final_time=10)
self.assertEqual(0.01, s.time_step)
def test_boundary_conditions(self):
j = simulation.Simulation(time_step_nbr=1000,
boundary_types="periodic",
cells=80,
domain_size=10,
final_time=1.)
for d in np.arange(j.dims):
self.assertEqual("periodic", j.boundary_types[d])
def test_dl(self):
for cells, domain_size, dim, bc in zip(self.cells_array,
self.domain_size_array,
self.dims, self.bcs):
j = simulation.Simulation(time_step_nbr=self.time_step_nbr,
boundary_types=bc,
cells=cells,
domain_size=domain_size,
final_time=self.final_time)
if phare_utilities.none_iterable(domain_size, cells):
domain_size = phare_utilities.listify(domain_size)
cells = phare_utilities.listify(cells)
for d in np.arange(dim):
self.assertEqual(j.dl[d], domain_size[d] / float(cells[d]))
global_vars.sim = None
def test_assert_boundary_condition(self):
simulation.Simulation(time_step_nbr=1000,
boundary_types="periodic",
cells=80,
domain_size=10,
final_time=1000)