Perhaps some things that could also useful for you:
most symbolic functions can handle numpy arrays,
if you don't want to write map all the time perhaps you can do this:
def theta_lazy(expression):
try:
return map(theta,expression)
except TypeError:
return theta(expression)
regards,
maldun
On Jan 18, 1:14 pm, maldun <dom...@gmx.net> wrote:
> Of course theta can't handle lists.
> Try map instead: map(theta,[x,x^2,x^3]), because map applies the
> function
> to every list element.
>
> Hope this helps =)
> maldun
>
> On Jan 14, 12:22 pm, Chris Swierczewski <cswie...@gmail.com> wrote:
>
> > Does anyone know of an example where a class __call__ method takes lists as
> > input? (With possible symbolic entries, of course.) I'm attempting to follow
> > the structure of Function_sec (and similar functions) but when I try
>
> > sage: var('x')
> > sage: theta([x,x^2,x^3])
>
> > I get the following error:
>
> > Traceback (click to the left of this block for traceback)
> > ...
> > TypeError: descriptor '__call__' requires a
> > 'sage.symbolic.function.Function' object but received a 'list'
>
> > So for some reason my function isn't handling the symbolic input. Could
> > somebody give some further guidance? Maybe a toy function that accepts
> > vector input?
>
> > Thanks,
>
> > Chris
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