I'd like to use Interact to have a plot that updates frequently in a
Jupyter notebook, but it seems like there is a large memory leak somewhere
and I am having some trouble tracking down what package is responsible.
Within a few minutes of running, the following code will cause the memory
used
Try with:
x::Array{Float32,1} = rand(Float32,n)
y::Array{Float32,1} = rand(Float32,n)
s::Array{Float32,1} = zero(Float64)
I believe this fixed a similar issue for me in Julia 0.4. The underlying
problem must have been fixed in 0.5-dev.
@code_typed is also very useful in diagnosing f
Try with:
x::Array{Float32,1} = rand(Float32,n)
y::Array{Float32,1} = rand(Float32,n)
s::Float64 = zero(Float64)
I believe this fixed a similar issue for me in Julia 0.4. The underlying
problem must have been fixed in 0.5-dev.
@code_typed is also very useful in diagnosing failure to
Try with:
x = rand(Float32,n)::Array{Float32,1}
y = rand(Float32,n)::Array{Float32,1}
s = zero(Float64)::Float64
I believe this fixed a similar issue for me in Julia 0.4. The underlying
problem must have been fixed in 0.5-dev.
@code_typed is also very useful in diagnosing failure
Turns out it was a problem with the file. I still have no idea why but I
just renamed the original as a backup and then renamed my test module to
what I wanted. It worked!
Before I did that I moved ~/.julia/v0.4 to check for caching issues. After
it was done reloading everything it still didn't
Check if there's already an issue about this at Clang.jl. If not, open a new
one.
Hi
Can someone tell me how to get remote workers working on Windows (both
machines)?
Will I require an ssh tunnel for this? I tried freeSSHd which is working
fine when I connect with putty.
However when I connect with julia
addprocs([(string(usr,"\@192.168.1.35:29"))])
the connection is est
Just remove the '-rdynamic' from that line of the Makefile. But you'll
find some other problem later that I don't remember anymore (I've tried
this too some time ago)
Joaquim
quinta-feira, 19 de Novembro de 2015 às 11:51:14 UTC, Tony Kelman escreveu:
>
> Check if there's already an issue about
@Tony Kelman
There already exists the same issue for OSX on ihnorton/Clang.jl, #145.
I've added my symptoms to that issue. Removal of -rdynamic does not help.
Petr
On Thursday, November 19, 2015 at 1:30:03 PM UTC+1, J Luis wrote:
>
> Just remove the '-rdynamic' from that line of the Makefile. Bu
I was wondering if someone could help me with a very basic question (as a
newbie on so many levels). I finally managed to get spy() working under
Gadfly, thanks to the good people at stack exchange. But I have to type
each line into terminal for it to pop up with a plot and even then I had to
b
Hi guys,
I tried a parse specific config file with this syntax:
param#value
for this case
parse("R#10")
but parse returned me only :R
How I can parse this string(file), when I can parse it like
value, operator, value? :(R # 10) ?
Thanks for your help.
parse is for parsing Julia code, which this isn't. You should use regular
expressions to pull out substrings and then parse them with specific
parse(Int, str) methods.
On Thu, Nov 19, 2015 at 9:46 AM, Ján Adamčák wrote:
> Hi guys,
>
> I tried a parse specific config file with this syntax:
>
> pa
Wrap your spy call: "display(spy(...))"
On Thursday, November 19, 2015, Ashley Kleinhans
wrote:
> I was wondering if someone could help me with a very basic question (as a
> newbie on so many levels). I finally managed to get spy() working under
> Gadfly, thanks to the good people at stack excha
You're creating a new Gadfly.Plot object every update, which is a bad idea
even if Gadfly's memory management was perfect. Plots.jl gives you the
ability to add to or replace the underlying data like this:
using Plots
gadfly()
getxy() = (1:10, rand(10))
plt = plot(x, y)
# overwrite underlying plo
norm() is even faster than maximum() !
On Wednesday, November 18, 2015 at 8:49:59 PM UTC+1, Tim Holy wrote:
>
> Note also that:
>
> function mynorm(x)
> s = zero(x[1]^2)
> @inbounds @simd for I in eachindex(x)
> s += x[I]^
Has PyPlot's default behavior changed in 0.4? When I plot nothing shows up
with 0.3 code but there are also no errors. I'm able to save it and
everything looks fine but I can't see or interact with the plots when my
code is finished. Somebody mentioned plt[:show]() to make all the plots
visible
On my machine (0.4 / 0.5-dev) I need to call display(gcf()) for the figure
to appear.
Maybe we should open an issue for that in IJulia.
On Thursday, 19 November 2015 16:52:24 UTC+1, NotSoRecentConvert wrote:
>
> Has PyPlot's default behavior changed in 0.4? When I plot nothing shows up
> with 0.
It's a problem in the REPL as well. I haven't tried it with IJulia.
Maybe generating a new plot every time is not great practice, on account of
the performance hit. That being said, I think it's perfectly legitimate to
do what I'm doing for prototyping purposes. I can achieve the frame rate I
want and the main example shown on https://github.com/JuliaLang/Intera
This should work – if there's a memory leak that's never reclaimed by gc,
that's a bug.
On Thu, Nov 19, 2015 at 11:55 AM, Andrew Keller
wrote:
> Maybe generating a new plot every time is not great practice, on account
> of the performance hit. That being said, I think it's perfectly legitimate
>
Hi,
alllow a newbie question. Trying to create type that has immutable const
value
What i want to do is assign a value with a constant
person.sex = Sex.MALE
This doesnt work
type SEX
immutable MALE end
immutable FEMALE end
end
there is no CONSTANT, no ATOM, no FI
See
http://docs.julialang.org/en/release-0.4/stdlib/base/?highlight=enum#Base.Val{c}
On Thursday, 19 November 2015 18:36:48 UTC+1, Frank wrote:
>
>
>
> Hi,
>
> alllow a newbie question. Trying to create type that has immutable const
> value
>
> What i want to do is assign a value with a constan
Le jeudi 19 novembre 2015 à 09:36 -0800, Frank a écrit :
>
>
> Hi,
>
> alllow a newbie question. Trying to create type that has immutable
> const value
>
> What i want to do is assign a value with a constant
>
> person.sex = Sex.MALE
>
> This doesnt work
>
> type SEX
> immuta
Sounds like the memory leak is on the browser side? Maybe something is
keeping a javascript reference to the plot? Potentially a Jupyter/IJulia
bug?
On Thu, Nov 19, 2015 at 12:01 PM, Stefan Karpinski
wrote:
> This should work – if there's a memory leak that's never reclaimed by gc,
> that's a bu
Yes, all IO functions yield.
thanks a lot. Was previously looking for enum, but found old post saying
its still in the works.
This is what i want
Thanks!
Am Donnerstag, 19. November 2015 18:51:14 UTC+1 schrieb Milan Bouchet-Valat:
>
> Le jeudi 19 novembre 2015 à 09:36 -0800, Frank a écrit :
> >
> >
> > Hi,
> >
> > alllo
After the troubles with conda that I reported 2 or 3 days ago I ended up
nuking my .julia dir.
Now I being bitten again
julia> Pkg.build("NetCDF")
INFO: Building NetCDF
Traceback (most recent call last):
File "C:\j\.julia\v0.4\Conda\deps\usr\Scripts\conda-script.py", line 2,
in
from cond
On Thursday, November 19, 2015 at 10:52:24 AM UTC-5, NotSoRecentConvert
wrote:
>
> Has PyPlot's default behavior changed in 0.4? When I plot nothing shows up
> with 0.3 code but there are also no errors. I'm able to save it and
> everything looks fine but I can't see or interact with the plots
Have you set up some environment variables that could affect Python? e.g.
is PYTHONPATH or similar set in your environment? Maybe Conda should unset
these before running the conda scripts.
On Thursday, November 19, 2015 at 9:48:40 AM UTC-5, Stefan Karpinski wrote:
>
> parse is for parsing Julia code, which this isn't. You should use regular
> expressions to pull out substrings and then parse them with specific
> parse(Int, str) methods.
>
If it is just "param#val" on each line I w
On Wednesday, November 18, 2015 at 7:56:13 AM UTC-5, NotSoRecentConvert
wrote:
>
> It works now.
>
> @bernhard, my problem wasn't with joinpath but with the changes to the
> string types. My code used String so it didn't care if it was ASCIIString
> or UTF8String and swapping String with Abstr
In fact I had. I always call julia from a bat file that I use to set paths
of interest and calls my WinPython portable installation. Now changed that
but I'm again in a broken state
julia> Pkg.rm("NetCDF")
INFO: Installing Conda v0.1.8
INFO: Removing Formatting v0.1.4
INFO: Removing NetCDF v0.3.
It wouldn't take much to make a Julia package for this. Bloomberg data is
subscription-based, no? You could copy how Quandl.jl does this and simply
replace the Quandl api with the Bloomberg api.
Good luck
On Wednesday, November 18, 2015 at 5:58:56 PM UTC-5, Charles Santana wrote:
>
> Hi,
>
>
It's so annoying that Pkg.rm() does not rm. So I manually cleaned the cash
and .trash after Pkg.rm("Conda") but it still doesn't install netCDF.
I wish I could use what I already have in my computer (netcdf and all of
its dependencies) and not duplicating them (if it worked).
julia> Pkg.build("N
I constructed my own type to store LDPC codes.
The module is at
https://github.com/jasontuna/LDPC
It is stored in a Julia module and I load it with
@everywhere using LDPC
I would like to run several simulations in parallel calculating bit error
rates for passing codewords through a particular
oops, I obviously meant 'cache' not 'cash'
quinta-feira, 19 de Novembro de 2015 às 20:33:28 UTC, J Luis escreveu:
>
> It's so annoying that Pkg.rm() does not rm. So I manually cleaned the cash
> and .trash after Pkg.rm("Conda") but it still doesn't install netCDF.
> I wish I could use what I alre
Hello,
I am encountering some memory corruption problems when using
GrammaticalEvolution.jl. I don't think the problem is in
GrammaticalEvolution though, so I am posting here to see if I can get some
feedback.
Here is a minimal example that will reproduce the problem:
```julia
using Grammati
I want to get all the unique permutations of an array of a certain length
and this is the only way I currently know how to do it in one line. Is
there a builtin function for this?
julia> unique(collect(permutations([1;0;0;0;1])))
10-element Array{Array{Int64,1},1}:
[1,0,0,0,1]
[1,0,0,1,0]
[1,
Hi Ratan,
I don't know of a builtin function, but it looks like your code will first
construct an array with all permutations and then reduce that to just the
unique ones. I haven't used it yet, so hope I don't send you in the wrong
direction, but you might have a look at Lazy.jl. That might he
El jueves, 19 de noviembre de 2015, 14:45:41 (UTC-6), Ratan Sur escribió:
>
> I want to get all the unique permutations of an array of a certain length
> and this is the only way I currently know how to do it in one line. Is
> there a builtin function for this?
>
> julia> unique(collect(permuta
MatlabCompat.jl already
exists: https://github.com/MatlabCompat/MatlabCompat.jl
On Tuesday, November 17, 2015 at 2:52:30 PM UTC-8, Sheehan Olver wrote:
>
>
> For both non-integer indexing and linrange, it seems that complaints about
> "hard for newcomers" really mean "hard for newcomers from Ma
I have an array (lets call it "data") containing composite types.
something like
type MyType
x::Float64
y::Float64
end
(basically just a collection of Floats and Ints..)
Now sending this data to a worker by
remotecall_fetch(iProc, someFunc, data)
is about 100 times slower than the followi
That's definitely more memory efficient, but not much more computationally
efficient. There's probably a much cleverer way to compute the unique
permutations of a set of values that contain repetitions. It's arguable
that this is what permutations ought to do in the first place.
On Thu, Nov 19, 20
Looks like that's probably a dlopen failure? Or check the libnetcdf in
dependency walker?
On Thursday, November 19, 2015 at 12:35:10 PM UTC-8, J Luis wrote:
>
> oops, I obviously meant 'cache' not 'cash'
>
> quinta-feira, 19 de Novembro de 2015 às 20:33:28 UTC, J Luis escreveu:
>>
>> It's so ann
Hmm, looking at the Bloomberg API it appears you'll need to wrap their C
API, so a bit more involved than what Quandl.jl does.
I didn't realize Bloomberg had an open source initiative.
On Thursday, November 19, 2015 at 3:21:31 PM UTC-5, milktrader wrote:
>
> It wouldn't take much to make a Jul
I saw a comment in combinatorics.jl that this stuff is being moved over
there so I'll check out if that's the same implementation. I think my use
of the function is more likely what people want when thinking: "oh, I want
all the permutations of this array"
On Thursday, November 19, 2015 at 4:12
It is the same code. However, I do think that there's a strong case to be
made that when the elements of an array are non-unique, you want the
distinguishable permutations of it, not all of the permutations.
On Thu, Nov 19, 2015 at 4:16 PM, Ratan Sur wrote:
> I saw a comment in combinatorics.jl
Hi,
Thanks for the tips! I am taking a look at their python api and my first
idea was to use PyCall.jl to call their functions. But I will also consider
the option to adapt Quandl.jl functions.
I forgot to send the link for the bloomberg open source initiative:
http://www.bloomberglabs.com/api/li
Update:
Here is an even simpler example, no GrammaticalEvolution:
```julia
function to_function(code::Expr)
@eval f() = $code
return f
end
function get_code()
r1 = rand()
r2 = rand()
Expr(:comparison, r1, :<, r2)
end
using Debug
@debug function script1()
srand(0)
for i = 1:10
How do I get the pid of a subprocess in Julia?
I want to create a subprocess that lives for a long time, potentially
longer than the Julia interpreter. I thus want to know its pid (process id)
so that I can control it later (e.g. via ps or kill).
The Process type doesn't seem to have a "pid" fiel
Nope. The trouble is that after installing 295 MB of Condas (I mean a full
python when I already had one and did not ask for another), there was some
problem and libnetcdf was not installed.
quinta-feira, 19 de Novembro de 2015 às 21:12:15 UTC, Tony Kelman escreveu:
>
> Looks like that's probab
I agree, permutations() should give the distinguishable permutations;
allpermutations() should give each and every one.
On Thursday, November 19, 2015 at 4:30:54 PM UTC-5, Stefan Karpinski wrote:
>
> It is the same code. However, I do think that there's a strong case to be
> made that when the e
Hi, I already implemented *lexicographic premutations generation* algorithm
based on a *Donald Knuth* work.
#lexicographic premutations generation, By Donald Knuth
function lpremutations{T}(a::T)
b=Vector{T}()
sort!(a)
n=length(a)
while(true)
push!(b,copy(a))
j=n-1
while(
How about this:
using StatsBase
using Iterators
function uniquepermutations(base)
zpos = Vector{Vector{Vector{Int}}}()
zval = Vector{Int}()
left = length(base)
for (v,c) in countmap(base)
push!(zpos,collect(subsets(collect(1:left),c)))
push!(zval,v)
left -=
Well, the previous listing worked only for Int vectors. Following is a more
properly typed version.
Various optimizations are possible: @inbounds, reducing allocations, etc.
function uniquepermutations(base)
zpos = Vector{Vector{Vector{Int}}}()
zval = Vector{eltype(base)}()
left = le
I'll start on this package but not promising I have time to devote right
now. https://github.com/milktrader/Bloomberg.jl
Stop by and check the progress though and feel free to contribute.
Cheers,
Dan
On Thursday, November 19, 2015 at 4:46:42 PM UTC-5, Charles Santana wrote:
>
> Hi,
>
> Thanks
sorry for typo error in *permutations*.
Knuth's lexicographic permutations version is best (in terms of speed, memory.
perhaps less readable).
The function name in the code snippet even has a little permutation by itself ;)
Wow! Great initiative!! I am watching it.
Thanks for being so proactive! Although it is the very first time I am
trying to do something related to finances I hope I can help somehow.
Cheers,
Charles
On 20 November 2015 at 00:38, milktrader wrote:
> I'll start on this package but not promising
I sense pull requests :P
On Thu, Nov 19, 2015, 18:57 Dan wrote:
> Knuth's lexicographic permutations version is best (in terms of speed,
> memory. perhaps less readable).
> The function name in the code snippet even has a little permutation by
> itself ;)
>
Thanks, Jonathan.
On Friday, 20 November 2015 00:18:02 UTC+5:30, Jonathan Malmaud wrote:
>
> Yes, all IO functions yield.
Hi,
I want to create a tree of nodes where each node will have only one parent
and arbitrary number of children. Also each branch can go to arbitrary
depth. Now, if I want to define julia type for such a node, how it should
be like?
In C++, I can use
struct trieNode {
// hold data
unsigned id;
Thanks a million Tamas. These are very helpful pointers indeed.
Arin
On Wednesday, 9 September 2015 22:27:16 UTC+12, Tamas Papp wrote:
>
> Hi Arin,
>
> I am planning something similar in the near future and have been
> thinking about this too. Maybe you could organize your discussion around
>
Thanks Mauro. This is excellent.
Arin
On Wednesday, 9 September 2015 22:12:27 UTC+12, Mauro wrote:
>
> Probably, the current state-of-the-art in introduction tutorials is
> David Sander's:
>
> https://www.youtube.com/watch?v=gQ1y5NUD_RI&index=2&list=PLP8iPy9hna6Sdx4soiGrSefrmOPdUWixM
>
>
> On
Okay, the problem was that Ubuntu julia was version 4.1, properly
installed, while Debian was 4.0 with directories in nonestandard places.
Downloading & extracting the 4.1 binary to my home directory, running it
from there as:
julia-cbe1bee3a8/bin/julia newbox.jl
works fine.
On Wed, Nov 18, 2015
Figured it out. For some reason doing the following works,
using LDPC
@everywhere using LDPC
On Thursday, November 19, 2015 at 10:33:26 AM UTC-10, Jason Castiglione
wrote:
> I constructed my own type to store LDPC codes.
> The module is at
> https://github.com/jasontuna/LDPC
>
> It is store
Hi all,
I've created a local package (with Pkg.generate() ), I've modified source
and I've committed it with git, also tagging package source with git -a ,
but Pkg.status() show version "0.0.0-".
Anyone know why, and how can I change version shown by Julia?
Many thanks in advance
Leonardo
Just a follow up from further discussion between NotSoRecentConvert and
myself about this off-list:
Turns out the differences in behaviour between the two files was that they
had different line endings... namely `\r\n` and `\n`. Related:
https://github.com/JuliaLang/julia/issues/11988.
- Mike
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