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Message #10607
Re: PyDOLFIN interface
On Tuesday 04 November 2008 13:59:22 Martin Sandve Alnæs wrote:
> 2008/11/4 Johan Hake <hake@xxxxxxxxx>:
> > On Tuesday 04 November 2008 13:07:07 Martin Sandve Alnæs wrote:
> >> 2008/11/4 Johan Hake <hake@xxxxxxxxx>:
> >> > Hello!
> >> >
> >> > I have started the work on the PyDOLFIN. We can now define the forms
> >> > in the poisson demo, using the syntax previously discussed, see python
> >> > poisson demo.
> >> >
> >> > A FunctionSpace now inherits both dolfin::FunctionSpace and
> >> > ffc.FiniteElement, and it can be used to instantiate user defined
> >> > Functions which can be used to define forms.
> >> >
> >> > We need to discuss how to implement a discrete function. This is a bit
> >> > complicated using the metaclass magic that is implemented now. Now we
> >> > cannot do:
> >> >
> >> > u = Function(V)
> >> > x = u.vector()
> >> >
> >> > as Function is just a dummy class for creation of userdefined
> >> > functions.
>
> I don't quite understand the problem here.
> Are you saying that type(u) is not a subclass of cpp_Function or what?
With the metaclass implementation, Function cannot inherit cpp_Function or
ffc.Function. A derived class of Function will inherit Function, cpp_Function
and ffc.Function though. Function is as it is now, only an more or less empty
class that can be inherited.
The syntax above can be valid with some __new__ magic in Function, probably
much in line with what you had in mind.
> >> We don't have to use metaclasses, it would be enough to implement
> >> Function.__new__(cls, *args). This function can return objects of
> >> a different type, e.g. a compiled function that doesn't inherit from
> >> dolfin.Function but directly from dolfin::Function.
> >
> > and from ufl.Function too?
>
> Yes.
>
> >> (I didn't understand this stuff fully until last week...)
> >
> > Yes I have thought about that solution, but then the created class wont
> > be a Function. It can be handy to have a class that all python Function
> > can be checked if isinstance of. With the __new__ function we create
> > different classes.
>
> This is not a problem. On the contrary, you either wish to
> check if a function is a cpp_Function or a ufl.Function.
> I would consider "isinstance(f, dolfin.Function)" a bug in
> most circumstances. That's one of the things I don't
> like about this design...
Yes, but if you check if u is a Function you allready know it is a
cpp_Function _and_ an ufl.Function. Just one to keep in mind ;)
> > The advantage, as I see it with your suggestion would be that we can use
> > the present feature of compiling many functions at a time, but we loose
> > the consistent syntax:
> >
> > class MyFunction(Function):
> > def eval(v,x):
> > do something
> >
> > class MyCompiledFunction(Function):
> > cpp_code = do something
> >
> > f = MyFunction(V)
> > g = MyCompiledFunction(V)
> >
> > and it could be complicated to pass the right FunctionSpaces to the
> > compile_function function.
>
> I forgot about this syntax. It's nice, but personally I'll be fine
> without it :-)
>
> >> > Is it possible to define a DiscreteFunction class in c++ (or just in
> >> > swig?) that inherits dolfin::Function, and in its constructor calls
> >> > vector()?
> >> >
> >> > Then we can use this class in python to create discrete functions. We
> >> > then avoid the director class that is created by swig for all
> >> > functions that inherits the cpp_Function. The obvious syntax would
> >> > then be
> >> >
> >> > u = DiscreteFunction(V)
> >> >
> >> > in python. I think with some python magic we still can have the syntax
> >> >
> >> > u = Function(V)
> >> >
> >> > which would imply that a discrete function is created, but I haven't
> >> > implemented it.
> >>
> >> That would basically be duplicating the design that has been replaced...
> >> I think dropping the metaclass is a much easier solution.
> >
> > No, this is just for the python interface. This could come handy with the
> > __new__ implementation you want too. By this we circumvent the director
> > class that swig creates for dolfin::functions. We dont want to call eval
> > on such a class to often do we? :)
> >
> >> > We also have a problem with MixedElements. Now the FunctionSpace
> >> > inherits ffc.FiniteElement and a MixedElement is not a FiniteElement.
> >> > I suppose we could overload the __add__ operator for the FunctionSpace
> >> > together with a new class MixedFunctionSpace, to fix this?
> >> >
> >> > Johan
> >>
> >> We also have (in UFL at least) the classes VectorElement and
> >> TensorElement, so this gets complicated. I think we should just make
> >> FunctionSpace own an element instead.
> >>
> >> element = FiniteElement(...)
> >> V = FunctionSpace(mesh, element)
> >> f = Function(V) # calls FiniteElement.__init__(self, element)
> >
> > Thats looks nice. We could also use the syntax Anders suggested,
> >
> > V = FunctionSpace(mesh, "Lagrange", 1)
> >
> > and then instantiate the FiniteElement in the __init__ function.
>
> No, we can't, that's exactly the issue you brought up with MixedElement.
> ("Lagrange", 1) doesn't carry all information about an element.
> In UFL we have classes FiniteElement, MixedElement, VectorElement,
> and TensorElement. In addition to (family,domain,degree), a
> VectorElement can have a dim, and a TensorElement
> can have a shape and symmetries...
Of course :P
But would it be possible to create a MixedFunctionSpace by adding two other
function spaces, with some overloading of __add__? And would it be possible
to extend the initialization of FunctionSpace, with kwargs and some __new__
magic, to instantiate FunctionSpace of different elements?
Maybee more relevant do we want it?
> > This wont work for the basis functions though, but we could just add a
> > class that inherits the ffc.BasisFunction and which can be instantiated
> > with both a FunctionSpace and a FiniteElement.
>
> We'd need to consider both BasisFunction, and BasisFunctions, which is a
> function and a bit more complicated. Also TestFunction(s) and
> TrialFunction(s), but those are just syntactic sugar.
Ok.
> I'd very much prefer letting BasisFunction be and just passing it an
> element.
I see you point.
Johan
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