def test_TFE_2Dx1D_vector_triangle_hcurl_rotate():
S = UFCTriangle()
T = UFCInterval()
RT1 = RaviartThomas(S, 1)
P1 = Lagrange(T, 1)
elt = Hcurl(TensorProductElement(RT1, P1))
assert elt.value_shape() == (3,)
tab = elt.tabulate(1, [(0.1, 0.2, 0.3)])
tabA = RT1.tabulate(1, [(0.1, 0.2)])
tabB = P1.tabulate(1, [(0.3,)])
for da, db in [[(0, 0), (0,)], [(1, 0), (0,)], [(0, 1), (0,)], [(0, 0), (1,)]]:
dc = da + db
assert np.isclose(tab[dc][0][0][0], -tabA[da][0][1][0]*tabB[db][0][0])
assert np.isclose(tab[dc][1][0][0], -tabA[da][0][1][0]*tabB[db][1][0])
assert np.isclose(tab[dc][2][0][0], -tabA[da][1][1][0]*tabB[db][0][0])
assert np.isclose(tab[dc][3][0][0], -tabA[da][1][1][0]*tabB[db][1][0])
assert np.isclose(tab[dc][4][0][0], -tabA[da][2][1][0]*tabB[db][0][0])
assert np.isclose(tab[dc][5][0][0], -tabA[da][2][1][0]*tabB[db][1][0])
assert np.isclose(tab[dc][0][1][0], tabA[da][0][0][0]*tabB[db][0][0])
assert np.isclose(tab[dc][1][1][0], tabA[da][0][0][0]*tabB[db][1][0])
assert np.isclose(tab[dc][2][1][0], tabA[da][1][0][0]*tabB[db][0][0])
assert np.isclose(tab[dc][3][1][0], tabA[da][1][0][0]*tabB[db][1][0])
assert np.isclose(tab[dc][4][1][0], tabA[da][2][0][0]*tabB[db][0][0])
assert np.isclose(tab[dc][5][1][0], tabA[da][2][0][0]*tabB[db][1][0])
assert tab[dc][0][2][0] == 0.0
assert tab[dc][1][2][0] == 0.0
assert tab[dc][2][2][0] == 0.0
assert tab[dc][3][2][0] == 0.0
assert tab[dc][4][2][0] == 0.0
assert tab[dc][5][2][0] == 0.0
def _generate_cell_dofs(self, cell, degree, offset, variant, quad_deg):
"""Generate degrees of freedoms (dofs) for entities of
codimension d (cells)."""
# Return empty info if not applicable
d = cell.get_spatial_dimension()
if (d == 2 and degree < 2) or (d == 3 and degree < 3):
return ([], {0: []})
# Create quadrature points
Q = make_quadrature(cell, 2 * (degree + 1))
qs = Q.get_points()
# Create Raviart-Thomas nodal basis
RT = RaviartThomas(cell, degree + 1 - d, variant)
phi = RT.get_nodal_basis()
# Evaluate Raviart-Thomas basis at quadrature points
phi_at_qs = phi.tabulate(qs)[(0,) * d]
# Use (Frobenius) integral moments against RTs as dofs
dofs = [IntegralMoment(cell, Q, phi_at_qs[i, :])
for i in range(len(phi_at_qs))]
# Associate these dofs with the interior
ids = {0: list(range(offset, offset + len(dofs)))}
return (dofs, ids)
def _generate_cell_dofs(self, cell, degree, offset):
"""Generate degrees of freedoms (dofs) for entities of
codimension d (cells)."""
# Return empty info if not applicable
d = cell.get_spatial_dimension()
if (d == 2 and degree < 2) or (d == 3 and degree < 3):
return ([], {0: []})
# Create quadrature points
Q = make_quadrature(cell, 2 * (degree + 1))
qs = Q.get_points()
# Create Raviart-Thomas nodal basis
RT = RaviartThomas(cell, degree + 1 - d)
phi = RT.get_nodal_basis()
# Evaluate Raviart-Thomas basis at quadrature points
phi_at_qs = phi.tabulate(qs)[(0,) * d]
# Use (Frobenius) integral moments against RTs as dofs
dofs = [IntegralMoment(cell, Q, phi_at_qs[i, :])
for i in range(len(phi_at_qs))]
# Associate these dofs with the interior
ids = {0: list(range(offset, offset + len(dofs)))}
return (dofs, ids)
def test_TFE_2Dx1D_vector_triangle_hdiv():
S = UFCTriangle()
T = UFCInterval()
RT1 = RaviartThomas(S, 1)
P1_DG = DiscontinuousLagrange(T, 1)
elt = Hdiv(TensorProductElement(RT1, P1_DG))
assert elt.value_shape() == (3, )
tab = elt.tabulate(1, [(0.1, 0.2, 0.3)])
tabA = RT1.tabulate(1, [(0.1, 0.2)])
tabB = P1_DG.tabulate(1, [(0.3, )])
for da, db in [[(0, 0), (0, )], [(1, 0), (0, )], [(0, 1), (0, )],
[(0, 0), (1, )]]:
dc = da + db
assert np.isclose(tab[dc][0][0][0], tabA[da][0][0][0] * tabB[db][0][0])
assert np.isclose(tab[dc][1][0][0], tabA[da][0][0][0] * tabB[db][1][0])
assert np.isclose(tab[dc][2][0][0], tabA[da][1][0][0] * tabB[db][0][0])
assert np.isclose(tab[dc][3][0][0], tabA[da][1][0][0] * tabB[db][1][0])
assert np.isclose(tab[dc][4][0][0], tabA[da][2][0][0] * tabB[db][0][0])
assert np.isclose(tab[dc][5][0][0], tabA[da][2][0][0] * tabB[db][1][0])
assert np.isclose(tab[dc][0][1][0], tabA[da][0][1][0] * tabB[db][0][0])
assert np.isclose(tab[dc][1][1][0], tabA[da][0][1][0] * tabB[db][1][0])
assert np.isclose(tab[dc][2][1][0], tabA[da][1][1][0] * tabB[db][0][0])
assert np.isclose(tab[dc][3][1][0], tabA[da][1][1][0] * tabB[db][1][0])
assert np.isclose(tab[dc][4][1][0], tabA[da][2][1][0] * tabB[db][0][0])
assert np.isclose(tab[dc][5][1][0], tabA[da][2][1][0] * tabB[db][1][0])
assert tab[dc][0][2][0] == 0.0
assert tab[dc][1][2][0] == 0.0
assert tab[dc][2][2][0] == 0.0
assert tab[dc][3][2][0] == 0.0
assert tab[dc][4][2][0] == 0.0
assert tab[dc][5][2][0] == 0.0
def test_nodal_enriched_implementation():
"""Following element pair should be the same.
This might be fragile to dof reordering but works now.
"""
e0 = RaviartThomas(T, 2)
e1 = NodalEnrichedElement(
RestrictedElement(RaviartThomas(T, 2), restriction_domain='facet'),
RestrictedElement(RaviartThomas(T, 2), restriction_domain='interior')
)
for attr in ["degree",
"get_reference_element",
"entity_dofs",
"entity_closure_dofs",
"get_formdegree",
"mapping",
"num_sub_elements",
"space_dimension",
"value_shape",
"is_nodal",
]:
assert getattr(e0, attr)() == getattr(e1, attr)()
assert np.allclose(e0.get_coeffs(), e1.get_coeffs())
assert np.allclose(e0.dmats(), e1.dmats())
assert np.allclose(e0.get_dual_set().to_riesz(e0.get_nodal_basis()),
e1.get_dual_set().to_riesz(e1.get_nodal_basis()))
def _generate_face_dofs(self, cell, degree, offset, variant, quad_deg):
"""Generate degrees of freedoms (dofs) for faces."""
# Initialize empty dofs and identifiers (ids)
dofs = []
ids = dict(list(zip(list(range(4)), ([] for i in range(4)))))
# Return empty info if not applicable
d = cell.get_spatial_dimension()
if (degree < 2):
return (dofs, ids)
msg = "2nd kind Nedelec face dofs only available with UFC convention"
assert isinstance(cell, UFCTetrahedron), msg
# Iterate over the faces of the tet
num_faces = len(cell.get_topology()[2])
for face in range(num_faces):
# Construct quadrature scheme for this face
m = 2 * (degree + 1)
Q_face = UFCTetrahedronFaceQuadratureRule(face, m)
# Construct Raviart-Thomas of (degree - 1) on the
# reference face
reference_face = Q_face.reference_rule().ref_el
RT = RaviartThomas(reference_face, degree - 1, variant)
num_rts = RT.space_dimension()
# Evaluate RT basis functions at reference quadrature
# points
ref_quad_points = Q_face.reference_rule().get_points()
num_quad_points = len(ref_quad_points)
Phi = RT.get_nodal_basis()
Phis = Phi.tabulate(ref_quad_points)[(0, 0)]
# Note: Phis has dimensions:
# num_basis_functions x num_components x num_quad_points
# Map Phis -> phis (reference values to physical values)
J = Q_face.jacobian()
scale = 1.0 / numpy.sqrt(numpy.linalg.det(numpy.dot(J.T, J)))
phis = numpy.ndarray((d, num_quad_points))
for i in range(num_rts):
for q in range(num_quad_points):
phi_i_q = scale * numpy.dot(J, Phis[numpy.newaxis, i, :, q].T)
for j in range(d):
phis[j, q] = phi_i_q[j]
# Construct degrees of freedom as integral moments on
# this cell, using the special face quadrature
# weighted against the values of the (physical)
# Raviart--Thomas'es on the face
dofs += [IntegralMoment(cell, Q_face, phis)]
# Assign identifiers (num RTs per face + previous edge dofs)
ids[face] = list(range(offset + num_rts*face, offset + num_rts*(face + 1)))
return (dofs, ids)
def _generate_face_dofs(self, cell, degree, offset):
"""Generate degrees of freedoms (dofs) for faces."""
# Initialize empty dofs and identifiers (ids)
dofs = []
ids = dict(list(zip(list(range(4)), ([] for i in range(4)))))
# Return empty info if not applicable
d = cell.get_spatial_dimension()
if (degree < 2):
return (dofs, ids)
msg = "2nd kind Nedelec face dofs only available with UFC convention"
assert isinstance(cell, UFCTetrahedron), msg
# Iterate over the faces of the tet
num_faces = len(cell.get_topology()[2])
for face in range(num_faces):
# Construct quadrature scheme for this face
m = 2 * (degree + 1)
Q_face = UFCTetrahedronFaceQuadratureRule(face, m)
# Construct Raviart-Thomas of (degree - 1) on the
# reference face
reference_face = Q_face.reference_rule().ref_el
RT = RaviartThomas(reference_face, degree - 1)
num_rts = RT.space_dimension()
# Evaluate RT basis functions at reference quadrature
# points
ref_quad_points = Q_face.reference_rule().get_points()
num_quad_points = len(ref_quad_points)
Phi = RT.get_nodal_basis()
Phis = Phi.tabulate(ref_quad_points)[(0, 0)]
# Note: Phis has dimensions:
# num_basis_functions x num_components x num_quad_points
# Map Phis -> phis (reference values to physical values)
J = Q_face.jacobian()
scale = 1.0 / numpy.sqrt(numpy.linalg.det(numpy.dot(J.T, J)))
phis = numpy.ndarray((d, num_quad_points))
for i in range(num_rts):
for q in range(num_quad_points):
phi_i_q = scale * numpy.dot(J, Phis[numpy.newaxis, i, :, q].T)
for j in range(d):
phis[j, q] = phi_i_q[j]
# Construct degrees of freedom as integral moments on
# this cell, using the special face quadrature
# weighted against the values of the (physical)
# Raviart--Thomas'es on the face
dofs += [IntegralMoment(cell, Q_face, phis)]
# Assign identifiers (num RTs per face + previous edge dofs)
ids[face] = list(range(offset + num_rts*face, offset + num_rts*(face + 1)))
return (dofs, ids)
def test_mixed_is_not_nodal():
element = MixedElement([
EnrichedElement(
RaviartThomas(T, 1),
RestrictedElement(RaviartThomas(T, 2),
restriction_domain="interior")),
DiscontinuousLagrange(T, 1)
])
assert not element.is_nodal()
def test_nodal_enriched_implementation():
"""Following element pair should be the same.
This might be fragile to dof reordering but works now.
"""
e0 = RaviartThomas(T, 2)
e1 = NodalEnrichedElement(
RestrictedElement(RaviartThomas(T, 2), restriction_domain='facet'),
RestrictedElement(RaviartThomas(T, 2), restriction_domain='interior'))
for attr in [
"degree",
"get_reference_element",
"entity_dofs",
"entity_closure_dofs",
"get_formdegree",
"mapping",
"num_sub_elements",
"space_dimension",
"value_shape",
"is_nodal",
]:
assert getattr(e0, attr)() == getattr(e1, attr)()
assert np.allclose(e0.get_coeffs(), e1.get_coeffs())
assert np.allclose(e0.dmats(), e1.dmats())
assert np.allclose(e0.get_dual_set().to_riesz(e0.get_nodal_basis()),
e1.get_dual_set().to_riesz(e1.get_nodal_basis()))
def test_mixed_is_nodal():
element = MixedElement([DiscontinuousLagrange(T, 1), RaviartThomas(T, 2)])
assert element.is_nodal()
