Since all packages for Julia are repos in Github. Why not search it
directly in Github?
On Thursday, August 6, 2015 at 8:38:57 AM UTC+2, Chaitanya Koparkar wrote:
Hi guys,
duckduckgo http://duckduckgo.com has introduced a new search feature
for julia, which makes searching for packages
Looks like @lazymod turns the module load into a function call (in
lowercase), so you need to do:
if dodraw
gadfly().plot(...)
gadfly().plot(...)
...
where the first gadfly() call will load Gadfly and be slow, while the
others will be fast. I suppose you could turn that into
if
Thanks!
I'd be interested in such a package as well.
I was thinking of giving PyDSTool a go (via PyCall), though haven't yet
had the time.
Christoph
Thanks again Tim!!!
I looked into your code and will try something like the following:julia
write(stream, P6\n) write(stream, $width $height\n$mx\n)
write(stream,img)
where mx is the maximum value of the type used (e.g. 255 for UInt8).
Cool about the splits, it makes sense (maybe more specific
Many of you are aware that Julia 0.4 has some facilities for precompiling
modules, but in the last couple of days they have become significantly more
automated, which should make much faster load times accessible to all your
users in 0.4.
If your module (and any modules it imports) are safe to
You mean atan2
https://julia.readthedocs.org/en/latest/stdlib/math/?highlight=atan2#Base.atan2
?
On Fri, Aug 7, 2015 at 2:07 AM, Sisyphuss zhengwend...@gmail.com wrote:
I don't find this function in the standard library.
`write`, although you'll have to encode the dimensions of the image if you
want to be able to read it back in.
FYI some of Images' functionality seems to be in the process of getting split
out to smaller packages, see https://github.com/JuliaIO
--Tim
On Thursday, August 06, 2015 05:27:51 PM
On Thursday, 6 August 2015 22:34:26 UTC+10, Andrew B. Martin wrote:
Thanks for the comment, Colin.
Instead, the RAM usage counter ramped up to the upper limit I had set
using a conditional if statement, and then when it hit that ...
I'm curious; can you give a code sample of the
Thanks Tim Michael! :)
AbstractFloat will replace FloatingPoint?
One thing I believe you could do is actually require StatsBase for
LowRankModels and extend StatsBase.fit! in your LowRankModels module. As
long as there are no method signature conflicts, I think this should work
fine (although you might end up with some new ambiguity warnings to deal
with).
On Thu, Aug 6, 2015 at 8:42 PM, Sisyphuss zhengwend...@gmail.com wrote:
AbstractFloat will replace FloatingPoint?
https://github.com/JuliaLang/julia/pulls?q=is%3Apr+AbstractFloat+is%3Aclosed
https://github.com/JuliaLang/julia/pull/12162
Thanks, David! Requiring StatsBase and importing StatsBase.fit! fixes the
problem.
Of course that doesn't prevent other authors from writing other packages I
don't know about with overlapping names. But I take it from previous posts
on this thread that on 0.4 `using` multiple modules that export
I love and use Tim’s amazing Images.jl package. But, sometimes I generate
some data which results in an image. I then just want to save that image to
disk (or pipe it to imagemagick or something). I know I can include Images
and imwrite it to disk. But to load Images seems redundant just for
Madeleine,
You are experiencing these problems in 0.3, correct?
On Thursday, August 6, 2015 at 3:46:49 PM UTC-7, Madeleine Udell wrote:
I've been running into major user problems because of the silent
overwriting of functions from one module by functions from another. My
LowRankModels
I don't find this function in the standard library.
I love and use Tim's amazing `Images.jl` package. But, sometimes I generate
some data which results in an image. I then just want to save that image to
disk (or pipe it to `imagemagick` or something). I know I can `include
Images` and `imwrite` it to disk. But to load `Images` seems redundant
I've been running into major user problems because of the silent
overwriting of functions from one module by functions from another. My
LowRankModels module interacts closely with the DataFrames module, which
imports a bunch of stuff from StatsBase. Internally, I'm careful to use
`import`
Hello,
I am trying to average together several vectors of slightly different
lengths (difference might be one or two elements).
For example, a, b, c might be:
a = ones(10)*2.
b = ones(11)*5.
c = ones(12)*4.
I want to make a new vector d that contains the averages of all their
values
Hi guys,
duckduckgo http://duckduckgo.com has introduced a new search feature for
julia, which makes searching for packages really simple and quick.
Some example queries could be of the form,
* julialang abstract domains
https://duckduckgo.com/?q=julialang+abstract+domainsia=about
* julia lang
Thanks for the comment, Colin.
Instead, the RAM usage counter ramped up to the upper limit I had set using
a conditional if statement, and then when it hit that ...
I'm curious; can you give a code sample of the conditional if statement?
I have a small project to do, and I was thinking of doing it in Julia to
teach myself more of the language and the ecosystem. I saw that Julia has
two excellent packages for dealing with ODEs (Sundials, and ODE) but I've
not seen any pre-existing wrappers to AUTO, or other packages that do
Hi,
I got an answer. You need to use Cfloat for REAL instead of Cdouble for
DOUBLE PRECISION.
On Wednesday, August 5, 2015 at 6:01:05 PM UTC-4, Byung Lee wrote:
Hi,
When I tried the following Fortran routine (abc.f), it worked using the
following shared file and ccall.
But when I
In the Iterators.jl package, there is a chain(...) function, which chains
multiple iterators together.
On Thu, Jul 23, 2015 at 9:22 PM, Michele Zaffalon
michele.zaffa...@gmail.com wrote:
What should the outcome of the merge operation be? Not a simple
concatenation, I imagine.
On Tue, Jul
Not only Cfloat, but also Float32 worked, like Cfloat[1.2] OR Float32[1.1].
On Thursday, August 6, 2015 at 9:13:58 AM UTC-4, Byung Lee wrote:
Hi,
I got an answer. You need to use Cfloat for REAL instead of Cdouble for
DOUBLE PRECISION.
On Wednesday, August 5, 2015 at 6:01:05 PM
Follow the advice literally:
@test_throws ASCIIString IndexedVector([1,2,3,3])
But `throw` is intended to throw an Exception, so you should write
error(msg)
or
throw(DimensionMismatch(msg))
in which case it would be
@test_throws ErrorException foo(x)
or
@test_throws
throw should be throwing an exception rather than just a string, which is
why the deprecation message is a bit confusing.
So instead of the line
https://github.com/diegozea/MIToS.jl/blob/master/src/MSA/IndexedVectors.jl#L49
you’d want to have something like
throw(ArgumentError($element is
On Wednesday, August 5, 2015 at 10:59:18 PM UTC-4, Tim Holy wrote:
You may want to check the IProfile.jl package, which does a lot of this
kind of
stuff (including inserting timing code around each line of a function).
That was an interesting read, thank you. As a common lisper, all those
Hi Chaitanya,
Looks neat. I use duckduckgo as my primary engine, but for any julia query,
I always !g it because duckduckgo's results are very far below what Google
returns. Eg.
https://duckduckgo.com/?q=julia+imagesia=images
Adding lang doesn't improve it (I get the package, but the results
For counting, is there a reason why you can't use a `let` block?
let count = 0
global foo
function foo(args...)
count += 1
...
end
global foo_count()
function foo_count()
return count
end
end # let count
On Thursday, August 6, 2015 at 7:36:10 AM
Hi Rasmus,
I have a pixelated image on the screen, but saving it as a pdf gives me a
sharp image. So I guess I have the reverse problem :)
Amuthan
On Wednesday, August 5, 2015 at 5:45:48 AM UTC-7, Rasmus Brandt wrote:
Hey Amuthan,
Are you exporting as PDF? I had some weird issues where
Hi Christoph,
Yes, this solved the issued on IJulia (running in Safari). Thanks a lot!
I still have a pixelated image when I display pyplot images from a julia
terminal. Not sure why this happens.
Amuthan
On Wednesday, August 5, 2015 at 9:57:39 PM UTC-7, Christoph Ortner wrote:
For me, I
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