that would be utterly pointless, since you can already just write:
@mymacro(“aaa”, “bbb”, “ccc”)
if you are intending to look at values, you should be using a function. a
macro is a function but it's also special in that it takes the quoted AST
of it’s arguments during parsing, not their values during runtime
observe when b... is getting printed:
julia> macro mymacro(a,b)
println(b)
end
julia> f() = @mymacro(a,b...)
b...
f (generic function with 1 method)
julia> f()
On Fri, Aug 29, 2014 at 9:45 PM, Don MacMillen <[email protected]>
wrote:
> I meant something like this
>
> julia> macro mymacro(a,b,c)
> println(c)
> end
>
> julia> @mymacro("aaa", ("bbb", "ccc")...)
> ERROR: wrong number of arguments
>
> which works fine for functions
>
> julia> function myfunc(a,b,c)
> println(c)
> end
> myfunc (generic function with 1 method)
>
> julia> myfunc("aaa", ("bbb", "ccc")...)
> ccc
>
>
>
>
> On Friday, August 29, 2014 6:02:45 PM UTC-7, Jameson wrote:
>
>> splicing into a macro works for me:
>>
>> julia> macro mymacro(a,b)
>> println(b)
>> end
>>
>> julia> @mymacro(x, y...)
>> y...
>>
>>
>>
>>
>> On Fri, Aug 29, 2014 at 8:57 PM, Don MacMillen <[email protected]>
>> wrote:
>>
>>> The slides are great. Many thanks for sharing.
>>>
>>> I do have a question about macros that maybe you can answer. In your nb
>>> on
>>> metaprogramming you have the horner macro listed and it uses a temporary
>>> variable t. But this macro can be written without using a temporary
>>> variable.
>>> It turns out to be slower (the no temp version) if we are computing a
>>> bunch of
>>> polynomials with the same coefficients, but is a tiny bit faster if the
>>> coefficients
>>> are always changing. So are the Expr's cached? Or is something else
>>> going on?
>>>
>>> Also (OK I have two questions) it looks like we cannot splice into a
>>> macro call?
>>> Ie @mymacro(x, y...) doesn't work?
>>>
>>> Thanks again.
>>>
>>> Don
>>>
>>>
>>> On Friday, August 29, 2014 4:08:44 AM UTC-7, Steven G. Johnson wrote:
>>>>
>>>> I just gave a talk on Julia at EuroSciPy, and managed to escape alive.
>>>> :-)
>>>>
>>>> I think they will post a video at some point, but in the meantime the
>>>> slides and IJulia notebooks are posted at:
>>>>
>>>> https://github.com/stevengj/Julia-EuroSciPy14
>>>>
>>>> --SGJ
>>>>
>>>
>>
