And then (approximatively):

*  myfunction = eval(code_f)*

Le lundi 27 avril 2015 18:21:09 UTC+1, Antoine Messager a écrit :
>
> I use meta programming to create my function. This is a simpler example. 
> The parameters are generated randomly in the actual function. 
>
> *  lhs = {"ode1"=> :(fy[1]), "ode2"=> :(fy[2])};*
> *  rhs = {"ode1"=> :(y[1]*y[1]-2.0), "ode2"=> :(y[2]-y[1]*y[1])};*
>
> *  function code_f(lhs::Dict, rhs::Dict)*
> *      lines = {}*
> *      for key in keys(lhs)*
> *          push!(lines, :( $(lhs[key]) = $(rhs[key])) )*
> *      end*
> *      @gensym f*
> *      quote*
> *          function $f(y, fy)*
> *              $(lines...)*
> *          end*
> *      end*
> *  end*
>
> Le lundi 27 avril 2015 18:12:24 UTC+1, Tom Breloff a écrit :
>>
>> Can you give us the definition of make_function as well?  This is being 
>> run in global scope?
>>
>> On Monday, April 27, 2015 at 12:37:48 PM UTC-4, Antoine Messager wrote:
>>>
>>> When I input the following code, where myfunction is only a system of 2 
>>> equations with 2 unknowns, the code starts to be really slow after 10,000 
>>> iterations. NLsolve is a non linear solver (
>>> https://github.com/EconForge/NLsolve.jl).
>>>
>>> *  size=2*
>>> *  for k in 1:100000*
>>> *      myfun=make_function(size);*
>>> *      try{*
>>> *              res=nlsolve(myfun,rand(size))*
>>> *          }*
>>> *      end*
>>> *  end*
>>>
>>> Thank you for your help,
>>> Antoine
>>>
>>> Le lundi 27 avril 2015 16:30:19 UTC+1, Mauro a écrit :
>>>>
>>>> It is a bit hard to tell what is going wrong with essentially no 
>>>> information.  Does the memory usage of Julia go up more than you would 
>>>> expect from storing the results?  Any difference between 0.3 and 0.4? 
>>>> Anyway, you should try and make a small self-contained runable example 
>>>> and post it otherwise it will be hard to divine an answer. 
>>>>
>>>> On Mon, 2015-04-27 at 16:49, 'Antoine Messager' via julia-users <
>>>> [email protected]> wrote: 
>>>> > Dear all, 
>>>> > 
>>>> > I need to create a lot of systems of equation, find some 
>>>> characteristics of 
>>>> > each system and store the system if of interest. Each system is 
>>>> created 
>>>> > under the same name. It works fine for the first 1000 systems but 
>>>> after the 
>>>> > program starts to be too slow. I have tried to use the garbage 
>>>> collector 
>>>> > each time I create a new system but it did not speed up the code. I 
>>>> don't 
>>>> > know what to do, I don't understand where it could come from. 
>>>> > 
>>>> > Cheers, 
>>>> > Antoine 
>>>>
>>>>

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