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[Garth Wells <706909@xxxxxxxxxxxxxxxxxx>]

I think that this is fixed now.

** Changed in: dolfin
       Status: New => Fix Committed

** Changed in: dolfin
   Importance: Undecided => High

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https://bugs.launchpad.net/bugs/706909

Title:
  [python] matrix multiplication fails in parallel

Status in DOLFIN:
  Fix Committed

Bug description:
  The python code for __mul__() assumes an empty vector suitable for
  mult() can be created from just the dimensions of the matrix:

      if type(other) == Vector:
          ret = Vector(self.size(0))

  This is not true in parallel. And it won't help to copy the input
  vector, as that only works for square matrices.

  How to create a vector which is compatible with a given matrix at this
  point (only the matrix available, not the sparsity pattern)? Would it
  perhaps be acceptable to add methods create_right_vector(),
  create_left_vector() to GenericMatrix?