On Tue, Feb 02, 2010 at 10:25:14AM +0100, Kristian Oelgaard wrote: > > > On 2 February 2010 10:15, Garth N. Wells <gn...@cam.ac.uk> wrote: > >I still have a problem with fractions + quadrature + optimisation. The > >script I sent yesterday now works, but the below scripts leads to a FFC > >error > > OK, I'll take a look now since my work on evaluate_basis is done.
Good work btw! I'm happy I didn't have to touch it. :-)
--
Anders
> Kristian
>
> > File
> > "/usr/local/lib/python2.6/dist-packages/ffc/quadrature/sumobj.py",
> > line 495, in reduce_vartype
> > f, r = v.reduce_vartype(var_type)
> > ValueError: too many values to unpack
> >
> >when using foo/2.0 rather than 0.5*foo.
> >
> >Garth
> >
> >
> >
> >
> >from dolfin import *
> >
> >mesh = UnitSquare(3, 3)
> >n = FacetNormal(mesh)
> >
> >PV = VectorFunctionSpace(mesh, "CG", 1)
> >P0 = FunctionSpace(mesh, "Discontinuous Lagrange", 0)
> >mixed_space = MixedFunctionSpace([PV, P0])
> >
> ># Function spaces and functions
> >r = TestFunction(P0)
> >U0 = Function(mixed_space)
> >u0, s0 = split(U0)
> >
> >U0.vector()[:] = 1.0
> >
> >F = 1.0/(s0**2 + 1.0)
> >
> ># This breaks FFC
> >un = (dot(u0, n) + sqrt(dot(u0, n)*dot(u0, n)))/2.0
> >un_h = (dot(u0, n) - sqrt(dot(u0, n)*dot(u0, n)))/2.0
> >
> ># This works
> >#un = 0.5*(dot(u0, n) + sqrt(dot(u0, n)*dot(u0, n)))
> >#un_h = 0.5*(dot(u0, n) - sqrt(dot(u0, n)*dot(u0, n)))
> >
> >L = jump(r)*(un('+')*F('+') - un('-')*F('-'))*dS
> >
> >param0 = {"representation": "quadrature", "optimize": False}
> >param1 = {"representation": "quadrature", "optimize": True}
> >print "Vec norm (no opt): ", assemble(L,
> > form_compiler_parameters=param0).norm("l2")
> >print "Vec norm (with opt): ", assemble(L,
> > form_compiler_parameters=param1).norm("l2")
> >
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