It currently works like this, which does work with f(x)=x, f(x,y) = x+y:
try
f(0)
catch
try
f(0,0)
catch
f((0,0))
end
end
This code is meant for REPL usage primarily, and so the convenience of typing
just Fun(f) is worth having such “questionable” code.
> On 29 Mar 2015, at 6:29 am, Mauro <[email protected]> wrote:
>
>> In ApproxFun, a user supplied function is approximated. the
>> approximation depends on whether the function is univariate or
>> bivariate
>
> How does it work, if the user defines several methods?
>
> f(x) = x
> f(x,y) = x+y
>
>>> The method_exists function would probably be a slightly cleaner way
>>> to do this.
>
> method_exists should be good for generic functions but it does not work
> with anonymous functions. I think this gives you the number of
> arguments:
>
> length(Base.uncompressed_ast(( (x,y,z)->1 ).code.def).args[1])
>
> something similar should let you figure out whether a one-argument
> signature is a tuple. Not sure though this is the preferred approach.
