On 23 May 2010 15:08, Garth N. Wells <gn...@cam.ac.uk> wrote:
>
>
> On 23/05/10 13:58, Kristian Oelgaard wrote:
>>
>> On 23 May 2010 12:51, Kristian Oelgaard<k.b.oelga...@gmail.com> wrote:
>>>
>>> On 23 May 2010 12:14, Garth N. Wells<gn...@cam.ac.uk> wrote:
>>>>
>>>> Where are we at with attaching data to integrals? The quadrature order
>>>> can
>>>> be attached, but I's like to do:
>>>>
>>>> dS({"representation": "tensor"})
>>>>
>>>> Is this supported by FFC?
>>
>> It looks like this is already supported in FFC.
>> Note that the representation must be the same on each subdomain (this
>> is also a requirement for quadrature_degree).
>>
>> dS(0, {"representation": "tensor"}) + dS(0, {"representation":
>> "quadrature"})
>>
>> is not possible, but
>>
>> dS(1, {"representation": "tensor"}) + dS(0, {"representation":
>> "quadrature"})
>>
>
> OK.
>
> dS(0, {"representation": "tensor"}) \
> + dS(0, {"representation": "tensor"})
>
> works, but
>
> dS({"representation": "tensor"}) \
> + dS({"representation": "tensor"})
>
> doesn't. Seems like a bug.
It's because domain_id is not a keyword argument in the __call__
function of Measure.
I changed this such that you can do:
dS(metadata={"representation": "tensor"}) \
+ dS(metadata={"representation": "tensor"})
> Turns out I can't use this anyway because facet normals are not supported by
> FFC with the tensor representation,
>
> ffc.tensor.monomialextraction.MonomialException: No handler defined for
> terminal FacetNormal
I don't know if this is just because it is not implemented yet, or
because it is not possible to support this with
tensor representation.
Kristian
> Garth
>
>
>> is.
>>
>> Also note that metadata overrides command line options.
>>
>> Kristian
>>
>>> I'm quite sure that it was supported before we redesigned FFC, so it
>>> should be possible to add back
>>> although I currently don't have an overview of how difficult it will
>>> be (probably relatively easy).
>>>
>>> Kristian
>>>
>>>>
>>>> Garth
>>>>
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>>>
>
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