def test_induced():
grid = TriaGrid(num_intervals=(10, 10))
boundary_info = AllDirichletBoundaryInfo(grid)
product = L2ProductP1(grid, boundary_info)
zero = NumpyVectorArray(np.zeros(grid.size(2)))
norm = induced_norm(product)
value = norm(zero)
np.testing.assert_almost_equal(value, 0.0)
def test_induced():
grid = TriaGrid(num_intervals=(10, 10))
boundary_info = AllDirichletBoundaryInfo(grid)
product = L2ProductP1(grid, boundary_info)
zero = NumpyVectorArray(np.zeros(grid.size(2)))
norm = induced_norm(product)
value = norm(zero)
np.testing.assert_almost_equal(value, 0.0)
def test_induced():
grid = TriaGrid(num_intervals=(10, 10))
boundary_info = AllDirichletBoundaryInfo(grid)
product = L2ProductP1(grid, boundary_info)
zero = product.source.zeros()
norm = induced_norm(product)
value = norm(zero)
np.testing.assert_almost_equal(value, 0.0)
((2, 4), dict(identify_left_right=True)
), ((2, 4), dict(
identify_bottom_top=True
)), ((2, 4), dict(identify_left_right=True, identify_bottom_top=True)
), ((2, 1),
dict(identify_left_right=True)),
((1, 2), dict(identify_bottom_top=True)
), ((2, 2), dict(identify_left_right=True, identify_bottom_top=True)),
((42, 30), dict(
identify_left_right=True)), ((42, 30),
dict(identify_bottom_top=True)),
((42, 30), dict(identify_left_right=True, identify_bottom_top=True))]
]
tria_grid_generators = [
lambda arg=arg, kwargs=kwargs: TriaGrid(arg, **kwargs) for arg, kwargs in
[((2, 4), {}), ((1, 1), {}), ((42, 42), {}),
((2, 4), dict(identify_left_right=True)
), ((2, 4), dict(
identify_bottom_top=True
)), ((2, 4), dict(identify_left_right=True, identify_bottom_top=True)
), ((2, 1),
dict(identify_left_right=True)),
((1, 2), dict(identify_bottom_top=True)
), ((2, 2), dict(identify_left_right=True, identify_bottom_top=True)),
((42, 30), dict(
identify_left_right=True)), ((42, 30),
dict(identify_bottom_top=True)),
((42, 30), dict(identify_left_right=True, identify_bottom_top=True))]
]