Thanks Stefan. Will have a look at repl.jl then. When I posted the original
question I did not really get how the history provider works :-)
Am Sonntag, 10. August 2014 04:38:52 UTC+2 schrieb Stefan Karpinski:
Unfortunately, this is kind of awkward right now. There's this history
provider
Hello All,
I have a C function called mycfunc that takes a callback function pointer
(cbfunc) and a void pointer (cbdata) as arguments. mycfunc calls the
callback function (cbfunc) passing the void pointer (cbdata) as its
argument. I'm trying to figure out how to pass a Julia type as the void
I forgot to mention that I'm trying to accomplish this with arrays right
now. I can pass a Julia array to C and access it there, but I can't figure
out how to convert it back to a Julia array from a C void pointer when
calling back to Julia from C.
On Sunday, August 10, 2014 1:57:18 AM UTC-5,
I have tried this. The clipboard is more basic than Xclipboard. If, for
example, I copy a data matrix from excel, julia should have one function to
store the same data matrix. Maybe I should write a script on my own all the
time?
Hi Gerry,
pointer_to_array is probably what you're looking for. See
http://julia.readthedocs.org/en/latest/manual/calling-c-and-fortran-code/#accessing-data-through-a-pointer
for more information.
Cheers,
Kevin
On Sun, Aug 10, 2014 at 1:17 AM, Gerry Weaver gerben...@gmail.com wrote:
I
How to divide DArray vertically and not horizontally?
I need 2 columns with 512 rows ...
Paul
julia addprocs(2)
2-element Array{Any,1}:
2
3
julia
julia remotecall_fetch(2, whos)
From worker 2: Base Module
From worker 2: Core
Just as an aside, XClipboard will only work on Linux (and even there, it
isn't really that useful, as the X Windows clipboard is pretty limited in
the information it passes).
Cheers,
Kevin
On Sun, Aug 10, 2014 at 1:42 AM, KK Sasa genwei...@gmail.com wrote:
I have tried this. The clipboard
Hi Kevin,
I found the pointer_to_array function, but I'm having some trouble figuring
how to call it correctly. I assume it has something to do with the pointer
being a void pointer. I've been searching for something that might give me
a clue how to do this, but I haven't found anything very
Hi,
I think I see whats going on. If the pointer that is being passed to
pointer_to_array is void, then you get a array of void pointers. In my case
the original array was an array of strings, so...
arr = pointer_to_array(cbdata, 4, true)
println(bytestring(convert(Ptr{Uint8}, val[1])))
Is
Hi,
Nope. False alarm. The scoping thing got me again. I had a val variable
declared later in the file. Back to the drawing board ;)
Thanks,
Gerry
On Sunday, August 10, 2014 4:59:00 AM UTC-5, Gerry Weaver wrote:
Hi,
I think I see whats going on. If the pointer that is being passed to
What is wrong? Why dd array is of type Any ?
ulia addprocs(4)
4-element Array{Any,1}:
2
3
4
5
julia D=readcsv(v4dane.txt);
julia d=distribute(D)
2888x4 DArray{Float64,2,Array{Float64,2}}:
julia d
2888x4 DArray{Float64,2,Array{Float64,2}}:
0.0 0.0 0.00.0
0.0 50.0 0.0
Unfortunately i have some trouble :
https://groups.google.com/forum/#!topic/julia-users/oCs_ygdzqJo
Paul
W dniu środa, 6 sierpnia 2014 16:17:45 UTC+2 użytkownik Stefan Karpinski
napisał:
You currently have to use a DArray and multiple processes to do anything
in parallel.
On Wed, Aug 6,
From my understanding, Julia being row major, it makes little sense to split
your arrays vertically.
If your algorithm makes use of a complete row instead of a complete column,
you'd better either implement an alternative row-major array object or (far far
more simply), work with the transpose
Sorry, it wasn't clear what kind of functionality you were expecting from your
email. If you just want basic text copying the clipboard function is fine. I
don't know of any cross-platform advanced copy-and-paste support, but such an
effort would certainly be possible and welcomed – and
Thx Gael
Is it one way ? I have next proceses optimized for cols ...
Paul
W dniu 2014-08-10 15:32, gael.mc...@gmail.com pisze:
From my understanding, Julia being row major, it makes little sense to split
your arrays vertically.
If your algorithm makes use of a complete row instead of a
I've been working on a package that wraps the DSP portion of IPP. I'd like
to publish it soon, but I'm sure there are plenty consequences I haven't
though of yet.
Here are two questions I do have:
1. On OS X, the dylibs need to be modified using
install_name_tool. Should I copy the ones
Actually, Julia uses column major ordering of arrays.
Cheers, Kevin
On Sunday, August 10, 2014, Paul Analyst paul.anal...@mail.com wrote:
Thx Gael
Is it one way ? I have next proceses optimized for cols ...
Paul
W dniu 2014-08-10 15:32, gael.mc...@gmail.com pisze:
From my understanding,
Hi Gerry,
I think I see whats going on. If the pointer that is being passed to
pointer_to_array is void, then you get a array of void pointers. In my case
the original array was an array of strings, so...
arr = pointer_to_array(cbdata, 4, true)
println(bytestring(convert(Ptr{Uint8},
.. and beter is distributed set by columns..
Is any idea ?
Paul
W dniu 2014-08-10 17:20, Kevin Squire pisze:
Actually, Julia uses column major ordering of arrays.
Cheers, Kevin
On Sunday, August 10, 2014, Paul Analyst paul.anal...@mail.com
mailto:paul.anal...@mail.com wrote:
Thx Gael
I am currently using Ubuntu 14.04 and the Julia Nightlies PPA. Recently, I
updated to the 0.3.0-rc2 versions and I get the following error when trying
to add a package:
signal (4): Illegal instruction
_mapreduce at ./reduce.jl:168
prune_versions at ./pkg/query.jl:141
prune_dependencies at
It appears that the system image is being built with instructions that your
processor doesn't support. I believe as a quick fix you can remove the file
sys.so though I'm not sure where that is put on the system in the binary
package. What processor does this system have?
On Sunday, August 10,
I did some cleanup, reimplement some algorithms, and setup sphinx doc for
the Clustering.jl package.
Please check it out: http://clusteringjl.readthedocs.org/en/latest/
Best,
Dahua
There are some examples of this in JuliaOpt - CPLEX.jl, Gurobi.jl, Mosek.jl
- have a look at their documentation and how they handle BinDeps on various
platforms.
I think you'd have to contact Travis and set up a custom VM with the
commercial library preloaded, I'm not aware of any examples of
You can always find the system image by running the following julia command:
filter( x - contains(x, sys.), Sys.dllist())
That being said, we try to compile with a conservative set of CPU
instructions to avoid this problem. What is your CPU hardware, and are you
running inside of a virtual
My processor is an AMD Turion X2. I was using the 0.3.0-rc1 version without
a problem.
Is it safe to remove the sys.so file?
Yes, though removing it will make Julia take a bit longer to start. You can
rename it to something if you want to keep a backup copy.
On Sunday, August 10, 2014 11:44:15 AM UTC-7, Pablo Zubieta wrote:
Is it safe to remove the sys.so file?
I renamed the file, but it does not sort out the problem.
Could you post an issue on github, including the output of
versioninfo()
?
Unless Elliot or Patrick have any better ideas.
On Sunday, August 10, 2014 11:57:03 AM UTC-7, Pablo Zubieta wrote:
I renamed the file, but it does not sort out the problem.
I forgot to mention, I am not running a VM.
On Sunday, August 10, 2014 2:01:20 PM UTC-5, Tony Kelman wrote:
Could you post an issue on github, including the output of
versioninfo()
?
Unless Elliot or Patrick have any better ideas.
Nope. Turion 64 x2 appears to support up through SSE3, so the conservative
settings from the binary
Hi Kevin,
It probably would, but in this case the C function takes a void pointer
argument and passes that to the Julia callback function. Unfortunately, I
can't change the type of the argument. I was hoping that there was a way to
convert that void pointer back to an array, but it isn't
I can't see an sse3 flag in /proc/cpuinfo. Here it is anyway.
processor: 0
vendor_id: AuthenticAMD
cpu family: 17
model: 3
model name: AMD Turion(tm) X2 Dual-Core Mobile RM-70
stepping: 1
microcode: 0x232
cpu MHz: 500.000
cache size: 512 KB
physical
Not sure if the title and/or nomenclature are correct, but I need to write
a function that dispatches on the specific type inner type while ignoring
the outer type. An example is probably worth a thousand words: This is
the closest thing I can get that compiles but errors at runtime.
abstract
On Sunday, August 10, 2014 2:32:03 PM UTC-5, Pablo Zubieta wrote:
Should I still open an issue?
Yes, please. You should include that output in the issue.
This is absolutely possible. You can take any pointer and turn it into an
array. The only concern is garbage collection and making sure that Julia knows
whether it should free the memory or not.
On Aug 10, 2014, at 3:31 PM, Gerry Weaver gerben...@gmail.com wrote:
Hi Kevin,
It probably
You need to declare the type parameter on Foo:
type Foo1{B:Bar} : Foo{B}
bar::B
end
On Sun, Aug 10, 2014 at 3:37 PM, thom lake thom.l.l...@gmail.com wrote:
Not sure if the title and/or nomenclature are correct, but I need to write a
function that dispatches on the specific type inner type
Very nice work!
Somewhat related package: if anyone is looking for a package to do some
maintenance on rather than starting from scratch then Resampling.jl could
be a good one (https://github.com/johnmyleswhite/Resampling.jl)
On Sunday, August 10, 2014 12:58:48 PM UTC-4, Dahua Lin wrote:
I
More specifically, you can at least do the following:
function my_callback(_cbdata::Ptr{Void})
cbdata = reinterpret(Ptr{Ptr{Uint8}}, _cbdata) # equivalent to casting
arr = pointer_to_array(cbdata, 4) # arr of length 4
println(bytestring(arr[1]))
nothing
end
cbfunc =
I have the impression that some of the code in Resampling.jl is effectively
replaced by MLBase.jl. Is that right?
— John
On Aug 10, 2014, at 1:01 PM, Iain Dunning iaindunn...@gmail.com wrote:
Very nice work!
Somewhat related package: if anyone is looking for a package to do some
Awesome. Thanks.
On Sunday, August 10, 2014 2:55:05 PM UTC-5, Keno Fischer wrote:
You need to declare the type parameter on Foo:
type Foo1{B:Bar} : Foo{B}
bar::B
end
On Sun, Aug 10, 2014 at 3:37 PM, thom lake thom@gmail.com
javascript: wrote:
Not sure if the title and/or
Yes, they seem partly overlap.
It might be a good idea to merge, but I don't have time working on this
recently though. If someone can take the lead on this, it would be really
appreciated.
Dahua
On Sunday, August 10, 2014 4:02:43 PM UTC-4, John Myles White wrote:
I have the impression
Done!
Here is the link to the issue https://github.com/JuliaLang/julia/issues/7946
.
Thanks. I hadn't realized they were using externally managed libraries.
From what I've seen so far, they rely on the user to ensure the libraries
are locatable.
On Sunday, August 10, 2014 11:44:32 AM UTC-6, Tony Kelman wrote:
There are some examples of this in JuliaOpt - CPLEX.jl, Gurobi.jl,
Sorry, I obviously meant *column* major (as fortran, not C) which makes
horizontal splitting sensible as the data is naturally contiguous in memory.
While vertical splitting would require at least two extra copies of the data.
Hi Kevin,
I had already tried something similar to what you propose, but neither
version works. Hence my confusion. println in either case just prints
garbage. It does compile though. I was hoping to be able to hide some of
this C callback complexity from the api user. It's beginning to look
Okay, no worries!
On Sun, Aug 10, 2014 at 2:38 PM, Gerry Weaver gerben...@gmail.com wrote:
Hi Kevin,
I had already tried something similar to what you propose, but neither
version works. Hence my confusion. println in either case just prints
garbage. It does compile though. I was hoping to
Seems like the intention is to cover many possibilities. This would be the
typical rand but with type Int32 not Int64 for example.
*julia **rand(2)*
*2-element Array{Float64,1}:*
* 0.690068*
* 0.137219*
*julia **rand(int32(2))*
*ERROR: `rand` has no method matching rand(::Int32)*
Is
Hello All,
I felt like I should summarize my experience on this for the benefit of
others. I also didn't want to leave a negative impression regarding the
Julia language. Julia is by far the best and most interesting high level
language that I have ever used. It makes all of the things I love
Thanks Gerry!
As a point of reference, I'm working on wrapping ffmpeg/libav right now.
One of the things that I do is pass a pointer to a Julia object as a void
pointer (using `pointer_to_objref` here:
https://github.com/kmsquire/AV.jl/blob/kms/io_refactor/src/avio.jl#L209-L211).
This is then
This C interface stuff is definitely sometimes a bit tricky and awkward
here and there. I think we're mostly winning in that the advanced features
are doable at all, but improvements are certainly possible and and good
ideas would be most welcomed. Glad that you're enjoying the rest of the
Is there way of calculating limit of a function?
I have tried SymPy Package. But it unfortunately doesnot compute limit for
bessel function.
r= Sym(r)
limit(besselj(1, r)/r, r, 0)
returns the following error:
`besselj` has no method matching besselj(::Int64, ::Sym)
while loading In[27], in
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