Periodic vertexonlymesh

firedrake/cython/dmcommon.pyx

@@ -2845,141 +2845,6 @@ def clear_adjacency_callback(PETSc.DM dm not None):
     CHKERR(DMPlexSetAdjacencyUser(dm.dm, NULL, NULL))
 
 
-@cython.boundscheck(False)
-@cython.wraparound(False)
-def remove_ghosts_pic(PETSc.DM swarm, PETSc.DM plex):
-    """Remove DMSwarm PICs which are in ghost cells of a distributed
-    DMPlex.
-
-    :arg swarm: The DMSWARM which has been associated with the input
-        DMPlex `plex` using PETSc `DMSwarmSetCellDM`.
-    :arg plex: The DMPlex which is associated with the input DMSWARM
-        `swarm`
-    """
-    cdef:
-        PetscInt cStart, cEnd, ncells, i, npics
-        PETSc.SF sf
-        PetscInt nroots, nleaves
-        const PetscInt *ilocal = NULL
-        const PetscSFNode *iremote = NULL
-        np.ndarray[PetscInt, ndim=1, mode="c"] pic_cell_indices
-        np.ndarray[PetscInt, ndim=1, mode="c"] ghost_cell_indices
-
-    if type(plex) is not PETSc.DMPlex:
-        raise ValueError("plex must be a DMPlex")
-
-    if type(swarm) is not PETSc.DMSwarm:
-        raise ValueError("swarm must be a DMSwarm")
-
-    if plex.handle != swarm.getCellDM().handle:
-        raise ValueError("plex is not the swarm's CellDM")
-
-    if plex.comm.size > 1:
-        get_height_stratum(plex.dm, 0, &cStart, &cEnd)
-        ncells = cEnd - cStart
-
-        # Get full list of cell indices for particles
-        pic_cell_indices = np.copy(swarm.getField("DMSwarm_cellid"))
-        swarm.restoreField("DMSwarm_cellid")
-        npics = len(pic_cell_indices)
-
-        # Initialise with zeros since these can't be valid ranks or cell ids
-        ghost_cell_indices = np.full(ncells, -1, dtype=IntType)
-
-        # Search for ghost cell indices (spooky!)
-        sf = plex.getPointSF()
-        CHKERR(PetscSFGetGraph(sf.sf, &nroots, &nleaves, &ilocal, &iremote))
-        for i in range(nleaves):
-            if cStart <= ilocal[i] < cEnd:
-                # NOTE need to check this is correct index. Can I check the labels some how?
-                ghost_cell_indices[ilocal[i] - cStart] = ilocal[i]
-
-        # trim -1's and make into set to reduce searching needed
-        ghost_cell_indices_set = set(ghost_cell_indices[ghost_cell_indices != -1])
-
-        # remove swarm pic parent cell indices which match ghost cell indices
-        for i in range(npics-1, -1, -1):
-            if pic_cell_indices[i] in ghost_cell_indices_set:
-                # removePointAtIndex shift cell numbers down by 1
-                swarm.removePointAtIndex(i)
-
-
-@cython.boundscheck(False)
-@cython.wraparound(False)
-def label_pic_parent_cell_info(PETSc.DM swarm, parentmesh):
-    """
-    For each PIC in the input swarm, label its `parentcellnum` field with
-    the relevant cell number from the `parentmesh` in which is it emersed
-    and the `refcoord` field with the relevant cell reference coordinate.
-    This information is given by the
-    `parentmesh.locate_cell_and_reference_coordinate` method.
-
-    For a swarm with N PICs emersed in `parentmesh`
-    the `parentcellnum` field is N long and
-    the `refcoord` field is N*parentmesh.topological_dimension() long.
-
-    :arg swarm: The DMSWARM which contains the PICs immersed in
-        `parentmesh`
-    :arg parentmesh: The mesh within with the `swarm` PICs are immersed.
-
-    ..note:: All PICs must be within the parentmesh or this will try to
-             assign `None` (returned by
-             `parentmesh.locate_cell_and_reference_coordinate`) to the
-             `parentcellnum` or `refcoord` fields.
-
-
-    """
-    cdef:
-        PetscInt num_vertices, i, gdim, tdim
-        PetscInt parent_cell_num
-        np.ndarray[PetscReal, ndim=2, mode="c"] swarm_coords
-        np.ndarray[PetscInt, ndim=1, mode="c"] parent_cell_nums
-        np.ndarray[PetscReal, ndim=2, mode="c"] reference_coords
-        np.ndarray[PetscReal, ndim=1, mode="c"] reference_coord
-
-    gdim = parentmesh.geometric_dimension()
-    tdim = parentmesh.topological_dimension()
-
-    num_vertices = swarm.getLocalSize()
-
-    # Check size of biggest num_vertices so
-    # locate_cell can be called on every processor
-    comm = swarm.comm.tompi4py()
-    max_num_vertices = comm.allreduce(num_vertices, op=MPI.MAX)
-
-    # Create an out of mesh point to use in locate_cell when needed
-    out_of_mesh_point = np.full((1, gdim), np.inf)
-
-    # get fields - NOTE this isn't copied so make sure
-    # swarm.restoreField is called for each field too!
-    swarm_coords = swarm.getField("DMSwarmPIC_coor").reshape((num_vertices, gdim))
-    parent_cell_nums = swarm.getField("parentcellnum")
-    reference_coords = swarm.getField("refcoord").reshape((num_vertices, tdim))
-
-    # find parent cell numbers
-    # TODO We should be able to do this for all the points in in one call to
-    # the parent mesh's _c_locator.
-    # SUGGESTED API 1:
-    #   parent_cell_nums, reference_coords = parentmesh.locate_cell_and_reference_coordinates(swarm_coords)
-    # with second call for collectivity.
-    # SUGGESTED API 2:
-    #   parent_cell_nums, reference_coords = parentmesh.locate_cell_and_reference_coordinates(swarm_coords, local_num_vertices)
-    # with behaviour changing inside locate_cell_and_reference_coordinates to
-    # ensure collectivity.
-    for i in range(max_num_vertices):
-        if i < num_vertices:
-            parent_cell_num, reference_coord = parentmesh.locate_cell_and_reference_coordinate(swarm_coords[i])
-            parent_cell_nums[i] = parent_cell_num
-            reference_coords[i] = reference_coord
-        else:
-            parentmesh.locate_cell(out_of_mesh_point)  # should return None
-
-    # have to restore fields once accessed to allow access again
-    swarm.restoreField("refcoord")
-    swarm.restoreField("parentcellnum")
-    swarm.restoreField("DMSwarmPIC_coor")
-
-
 @cython.boundscheck(False)
 @cython.wraparound(False)
 def fill_reference_coordinates_function(reference_coordinates_f):