Source code for scifem
from __future__ import annotations
import dolfinx
import basix
import numpy as np
import numpy.typing as npt
from . import _scifem # type: ignore
from .point_source import PointSource
from .assembly import assemble_scalar
from . import xdmf
from .solvers import BlockedNewtonSolver, NewtonSolver
from .mesh import create_entity_markers, transfer_meshtags_to_submesh
from .eval import evaluate_function
__all__ = [
"PointSource",
"assemble_scalar",
"xdmf",
"create_real_functionspace",
"assemble_scalar",
"PointSource",
"xdmf",
"vertex_to_dofmap",
"dof_to_vertexmap",
"create_entity_markers",
"NewtonSolver",
"BlockedNewtonSolver",
"transfer_meshtags_to_submesh",
"evaluate_function",
]
[docs]
def create_real_functionspace(
mesh: dolfinx.mesh.Mesh, value_shape: tuple[int, ...] = ()
) -> dolfinx.fem.FunctionSpace:
"""Create a real function space.
Args:
mesh: The mesh the real space is defined on.
value_shape: The shape of the values in the real space.
Returns:
The real valued function space.
Note:
For scalar elements value shape is ``()``.
"""
dtype = mesh.geometry.x.dtype
ufl_e = basix.ufl.element(
"P", mesh.basix_cell(), 0, dtype=dtype, discontinuous=True, shape=value_shape
)
if (dtype := mesh.geometry.x.dtype) == np.float64:
cppV = _scifem.create_real_functionspace_float64(mesh._cpp_object, value_shape)
elif dtype == np.float32:
cppV = _scifem.create_real_functionspace_float32(mesh._cpp_object, value_shape)
else:
raise ValueError(f"Unsupported dtype: {dtype}")
return dolfinx.fem.FunctionSpace(mesh, ufl_e, cppV)
[docs]
def vertex_to_dofmap(V: dolfinx.fem.FunctionSpace) -> npt.NDArray[np.int32]:
"""
Create a map from the vertices (local to the process) to the correspondning degrees
of freedom.
Args:
V: The function space
Returns:
An array mapping local vertex i to local degree of freedom
Note:
If using a blocked space this map is not unrolled for the DofMap block size.
"""
return _scifem.vertex_to_dofmap(V.mesh._cpp_object.topology, V.dofmap._cpp_object)
[docs]
def dof_to_vertexmap(V: dolfinx.fem.FunctionSpace) -> npt.NDArray[np.int32]:
"""
Create a map from the degrees of freedom to the vertices of the mesh.
As not every degree of freedom is associated with a vertex, every dof that is not
associated with a vertex returns -1
Args:
V: The function space
Returns:
An array mapping local dof i to a local vertex
"""
num_dofs_local = V.dofmap.index_map.size_local + V.dofmap.index_map.num_ghosts
dof_to_vertex_map = np.full(num_dofs_local, -1, dtype=np.int32)
v_to_d = _scifem.vertex_to_dofmap(V.mesh._cpp_object.topology, V.dofmap._cpp_object)
dof_to_vertex_map[v_to_d] = np.arange(len(v_to_d), dtype=np.int32)
return dof_to_vertex_map