great news ! thanks !
Le lundi 25 avril 2016 16:20:33 UTC+2, Steven G. Johnson a écrit :
>
>
>
> That debugger is mostly a stopgap/prototype until we have a "real"
> debugger based on LLDB, which allows you to run code at full speed until
> you hit a break point. Such a debugger was recently i
it worked ! RAM requirement for building julia from source is higher than
1Gb. i put 4 Gb
my "clients" want to validate the "build & custom" automation before
thinking about upgrading. i have no choice :)
Le lundi 25 avril 2016 14:51:38 UTC+2, Michele Zaffalon a écrit :
>
> Would it not be better to update to 0.4.5 first?
>
> On Mon, Apr 25, 2016 at 1:57 PM, >
> wrote:
>
>> it seem
it seems that
/home/vagrant/julia-0.4.2/base/precompile.jl
crashed because of memory overflow (i watched htop).
i'll try the build with more memory on my test virtual machine (500Mb -> 1
Gb).
Le lundi 25 avril 2016 13:50:21 UTC+2, ming...@irt-systemx.fr a écrit :
>
> hello,
>
> there a build
hello,
there a build issue on a Vagrant virtual machine (i am actually debugging
my Ansible automation) :
require.jl
docs/helpdb.jl
docs/basedocs.jl
/home/vagrant/julia-0.4.2/base/precompile.jl
Killed
*** This error is usually fixed by running `make clean`. If the error
persists, try `make clea
hello,
getting the rank of a huge sparse matrix is mathematically difficult
http://math.stackexchange.com/questions/554777/rank-computation-of-large-matrices
bests,
M.
Le lundi 16 novembre 2015 22:12:04 UTC+1, Laurent Bartholdi a écrit :
>
> Hello world,
> I'm new at julia, and trying it out as
oops. I have just realized that I messed up with git checkout v0.***
I recompiled the good release (not the development branch).
the behavior described above does not happen in v0.4.1
I agree the "packing bug" in dev branch is normal in development stage.
I have read https://github.com/JuliaL
ok, i guess performance is then improved.
however, the conversion between sparse matrix line and sparse vecteor is
not correct
julia> aa = sparse([10. 0 30.])
1x3 sparse matrix with 2 Float64 entries:
[1, 1] = 10.0
[1, 3] = 30.0
julia> full(aa[1,:])
3-element Array{Float64,1}:
10
Hello,
I have a problem with sparse matrix in Julia 0.5. here is the detailed
version number
Version 0.5.0-dev+1265 (2015-11-13 08:40 UTC)
Commit f045831 (0 days old master)
x86_64-linux-gnu
here is the sequence of instructions that highlights the bug ;
julia> aa = sparse([10. 0 30.])
1x3 spar