dolfin team mailing list archive

[Garth Wells <702372@xxxxxxxxxxxxxxxxxx>]

Most (or almost most) of the linear algebra backends use shared
pointers, and they all should use shared pointers. It shouldn't be a big
deal to fix this since the most complicated (PETSc and Epetra) already
use shared pointers (which is particularly neat, since a customised
destructor for shared pointers calls the necessary PETSc/Epetra
functions to clean up).

I think that the Python interface respects the shared pointers. What I
don't know is exactly what 'del' does to the object A.

I would like to see DOLFIN be free of plain pointers - it's just a
source of trouble.

-- 
You received this bug notification because you are a member of DOLFIN
Team, which is subscribed to DOLFIN.
https://bugs.launchpad.net/bugs/702372

Title:
  BlockMatrix and deleted matrices

Status in DOLFIN:
  New

Bug description:
  The following code crashes, unless "del A" is commented out. I don't
  know the memory handling strategy in dolfin, (boost::shared_ptr is
  used in some places, but not consistently?) but attached is a patch
  which at least removes the crash by making private copies of the
  matrices (and vectors in BlockVectors).

  from dolfin import *

  mesh = UnitSquare(4, 4)
  V = FunctionSpace(mesh, "CG", 1)
  u,v = TrialFunction(V), TestFunction(V)

  a = u*v*dx

  AA = BlockMatrix(1,1)

  A = assemble(a)
  AA[0, 0] = A

  del A

  print AA[0,0]