I think what happens on the 1st version is that the input list has
len(3), and since the DMDA only has 1 dimension petsc4py throws the
first ValueError.

As far as I can tell, the code is expecting a list of lists: ie for
each dimension it gets ranges[i] (where i is the index for the
dimension) and casts it into an array. So I tried the 2nd version,
which fails regardless of whether I use lists or tuples, and I don't
understand why.

-Chris

On Thu, Apr 7, 2016 at 9:00 PM, Matthew Knepley <knepley@gmail.com> wrote:
> On Thu, Apr 7, 2016 at 1:52 PM, Chris Eldred <chris.eldred@gmail.com> wrote:
>>
>> Hey All,
>>
>> (I sent this to petsc-users a few days ago and didn't get any replies,
>> figured I would try here as well...)
>>
>> Does anyone know the correct syntax for setting ownership ranges for
>> DMDAs in petsc4py? For example, if I have a 1D DMDA with 20 vertices
>> and 3 processes, and I want to distribute the vertices as [8,8,4],
>> should the correct create call be:
>>
>> da =
>> PETSc.DMDA().create(dim=1,dof=1,sizes=[20,],proc_sizes=[3,],boundary_type=[PETSc.DM.BoundaryType.PERIODIC,],
>> stencil_type= PETSc.DMDA.StencilType.BOX,
>> stencil_width=1,ownership_ranges=[8,8,4])
>>
>> or
>>
>> da =
>> PETSc.DMDA().create(dim=1,dof=1,sizes=[20,],proc_sizes=[3,],boundary_type=[PETSc.DM.BoundaryType.PERIODIC,],
>> stencil_type= PETSc.DMDA.StencilType.BOX,
>> stencil_width=1,ownership_ranges=[[8,8,4],])
>>
>> For me, the 1st version fails with
>> ValueError: number of dimensions 1 and number ownership ranges 3
>> (which I expected)
>> but the 2nd version also fails with
>> TypeError: Expected tuple, got list
>>
>> I have tried using tuples instead of lists and nothing changes.
>> Creating without the ownership_ranges argument works fine as well. Is
>> there something else I am missing?
>
>
> Here is the code:
>
>
> https://bitbucket.org/petsc/petsc4py/src/b234a50085607b793fce93d5dc46307c0d9b57c4/src/PETSc/petscdmda.pxi?at=master&fileviewer=file-view-default#petscdmda.pxi-150
>
> I do not understand why the 1st version fails.
>
>    Matt
>
>>
>> Thanks in advance for any assistance!
>>
>> Regards,
>> -Chris
>>
>>
>> --
>> Chris Eldred
>> Postdoctoral Fellow, LAGA, University of Paris 13
>> PhD, Atmospheric Science, Colorado State University, 2015
>> DOE Computational Science Graduate Fellow (Alumni)
>> B.S. Applied Computational Physics, Carnegie Mellon University, 2009
>> chris.eldred@gmail.com
>
>
>
>
> --
> What most experimenters take for granted before they begin their experiments
> is infinitely more interesting than any results to which their experiments
> lead.
> -- Norbert Wiener



--
Chris Eldred
Postdoctoral Fellow, LAGA, University of Paris 13
PhD, Atmospheric Science, Colorado State University, 2015
DOE Computational Science Graduate Fellow (Alumni)
B.S. Applied Computational Physics, Carnegie Mellon University, 2009
chris.eldred@gmail.com