I've seen Julia's non-checking of integer overflows questioned (and I know
the answer/performance section (and BigInt alternative, that is just
slow/overkill), and recall a discussion in the forums).
Just now I noticed:
https://github.com/JuliaLang/julia/issues/855
[for 1.0 milestone - after
Thanks for all the suggestions! Since I'm still on 0.3.11, and only have to
check a couple of fairly small arrays, I simply went with
function checkmonotonicity(v::Array{Float64})
counter = Array(Int64, ndims(v))
for i = 1:ndims(v)
counter[i] = sum(mapslices(issorted, v, i))
end
Hi,
[As a database guy, that uses SQL (PostgreSQL); and not really object
relational mapping (ORM) or recommending it.. or NoSQL. Or haven't used
LINQ in C# (just vaguely familiar), I wander what the best way would be in
Julia to access databases.]
I know about the driver situation (most rece
On Wednesday, August 5, 2015 at 5:33:59 PM UTC, David Gold wrote:
>
> I've been learning Julia as my first programming language, if I don't
> count the VB I learned in high school tech and the small amount of R I
> learned to pass STAT 201.
>
> For me, Julia has been an excellent first first lan
In the *latest *Docs I am now seeing several repetitions like the case in
the image bellow.
On Wed, Aug 12, 2015 at 7:42 AM, J Luis wrote:
> In the *latest *Docs I am now seeing several repetitions like the case in
> the image bellow.
>
https://github.com/JuliaLang/julia/commit/dfc7168696c1ad031db99e43bdb799c271edec0c#commitcomment-12528895
>
>
>
>
@Stefan,
I'd have thought that parametric types being invariant in typevars would
lead to
!(Tuple{ASCIIString, ASCIIString} <: Tuple{String, String})
just as
!(Vector{ASCIIString} <: Vector{String})
Tuples seem to behave specially?
On Tuesday, August 11, 2015 at 4:18:38 PM U
On Wed, Aug 12, 2015 at 8:14 AM, David Gold wrote:
> @Stefan,
>
> I'd have thought that parametric types being invariant in typevars would
> lead to
>
> !(Tuple{ASCIIString, ASCIIString} <: Tuple{String, String})
>
> just as
>
> !(Vector{ASCIIString} <: Vector{String})
>
> Tuples s
"Tuple types are *covariant* in their constituent types"
Ref: http://docs.julialang.org/en/release-0.3/manual/types/#tuple-types
I think this is for the sake of dispatch.
On Wednesday, August 12, 2015 at 2:14:14 PM UTC+2, David Gold wrote:
>
> @Stefan,
>
> I'd have thought that parametric type
Just a somewhat irrelevant question: what is "sate"?
On Wednesday, August 12, 2015 at 1:42:15 PM UTC+2, J Luis wrote:
>
> In the *latest *Docs I am now seeing several repetitions like the case in
> the image bellow.
>
>
>
>
just a typo for "state"
Am 12.08.2015 um 14:23 schrieb Sisyphuss :
> Just a somewhat irrelevant question: what is "sate"?
>
>
> On Wednesday, August 12, 2015 at 1:42:15 PM UTC+2, J Luis wrote:
> In the latest Docs I am now seeing several repetitions like the case in the
> image bellow.
>
>
>
Ahah, thank you both.
On Wednesday, August 12, 2015 at 8:22:09 AM UTC-4, Sisyphuss wrote:
>
> "Tuple types are *covariant* in their constituent types"
>
> Ref: http://docs.julialang.org/en/release-0.3/manual/types/#tuple-types
>
> I think this is for the sake of dispatch.
>
>
>
> On Wednesday, Aug
On Tuesday, August 11, 2015 at 4:10:48 PM UTC+2, Tanmay K. Mohapatra wrote:
>
> Hi,
>
> We have a bunch of updates to JuliaBox to be deployed on
> https://juliabox.org/.
> Unfortunately we need a full downtime for this update, unlike past updates.
>
> We shall be taking a downtime for JuliaBox o
I thought the following code will return the value 1,
a = try
error()
finally
1
end
However, `a` is undefined, as oppose to the `b` in the following code
b = try
error()
end
defined as `nothing`.
On Wed, Aug 12, 2015 at 9:03 AM, Sisyphuss wrote:
> I thought the following code will return the value 1,
> a = try
> error()
> finally
> 1
> end
No, the try block doesn't even return because it throws an error. To
get a return value when an error happens, use the catch block.
> However,
"The catch clause is not strictly necessary; when omitted, the default
return value is nothing."
Ref: http://docs.julialang.org/en/latest/manual/control-flow/#exception-handling
On Wednesday, August 12, 2015 at 3:14:51 PM UTC+2, Yichao Yu wrote:
>
> On Wed, Aug 12, 2015 at 9:03 AM, Sisyphuss > w
On Wed, Aug 12, 2015 at 9:20 AM, Sisyphuss wrote:
> "The catch clause is not strictly necessary; when omitted, the default
> return value is nothing."
> Ref:
> http://docs.julialang.org/en/latest/manual/control-flow/#exception-handling
So?? As your second example shows, you get the `nothing` if y
I can save you some time, if you allow .. at present and forward more years
than you expect, there is no better nor any roughly as good.
On Wednesday, August 12, 2015 at 7:34:09 AM UTC-4, Páll Haraldsson wrote:
>
>
> On Wednesday, August 5, 2015 at 5:33:59 PM UTC, David Gold wrote:
>>
>> I've bee
Correct, sorry.
quarta-feira, 12 de Agosto de 2015 às 13:29:50 UTC+1, René Donner escreveu:
>
> just a typo for "state"
>
> Am 12.08.2015 um 14:23 schrieb Sisyphuss >:
>
> > Just a somewhat irrelevant question: what is "sate"?
> >
> >
> > On Wednesday, August 12, 2015 at 1:42:15 PM UTC+2, J
The basic try/catch/finally behaviors have been discussed before. I think
this is a good
summary: https://groups.google.com/d/msg/julia-users/Kqn6gNIwD5o/aKE17Nclh3kJ
On Wednesday, August 12, 2015 at 9:25:32 AM UTC-4, Yichao Yu wrote:
>
> On Wed, Aug 12, 2015 at 9:20 AM, Sisyphuss > wrote:
>
I have a matrix and I want to compute the norm of each column. I tried
using TimeIt
N = 10^6
mat = randn(3, N)
@timeit mapslices(norm, mat, 1)
1 loops, best of 3:
915.13 ms per loop
Dog slow, 100times slower then numpy:
import numpy as np
N = 10**6
mat = np.random.randn(3, N)
%timeit np.li
You could also try something like
julia> a = rand(100,10);
julia> @time [norm(sub(a,:,i)) for i in 1:size(a,2)];
0.135117 seconds (1.80 M allocations: 40.381 MB, 14.14% gc time)
As long as your slices are along the last dimension, i.e. columns in a matrix,
you can use FunctionalData
On Wednesday, August 12, 2015 at 12:15:19 AM UTC-4, Stefan Karpinski wrote:
>
> You can't create a value whose concrete type is Tuple{AbstractString,
> AbstractString} but you can create values that are of that type and you can
> create an instance of Vector{Tuple{AbstractString, AbstractString
On Wed, 2015-08-12 at 17:28, Cedric St-Jean wrote:
> On Wednesday, August 12, 2015 at 12:15:19 AM UTC-4, Stefan Karpinski wrote:
>>
>> You can't create a value whose concrete type is Tuple{AbstractString,
>> AbstractString} but you can create values that are of that type and you can
>> create
One thing that's hurting your home-rolled function's performance is that .^
is allocating a copy for each 1e6-length row. I'm not sure if the
vectorized sqrt operator does something similar (I'm actually having some
trouble finding the source code for it).
Anyway, the best thing to do here seem
Here's a way to do it with slices
julia> function f(mat)
mat1 = slice(mat, 1, :)
mat2 = slice(mat, 2, :)
mat3 = slice(mat, 3, :)
A = Array(Float64, size(mat, 2))
for i in 1:size(mat, 2)
A[i] = sqrt(mat1[i]^2 + mat2[i]^2 + mat3[i
Well, not all arrays:
julia> Array{Int}()
0-dimensional Array{Int64,0}:
4544954880
On Wednesday, August 12, 2015 at 11:36:24 AM UTC-4, Mauro wrote:
>
>
>
> On Wed, 2015-08-12 at 17:28, Cedric St-Jean > wrote:
> > On Wednesday, August 12, 2015 at 12:15:19 AM UTC-4, Stefan Karpinski
> wrote:
>
Oh, of course, that makes sense! Thank you.
On Wednesday, August 12, 2015 at 11:36:24 AM UTC-4, Mauro wrote:
>
>
>
> On Wed, 2015-08-12 at 17:28, Cedric St-Jean > wrote:
> > On Wednesday, August 12, 2015 at 12:15:19 AM UTC-4, Stefan Karpinski
> wrote:
> >>
> >> You can't create a value whose
On 0.4 Vector{T}() creates a zero-length vector with element type T. On 0.3
you can do T[].
On Wed, Aug 12, 2015 at 11:35 AM, Mauro wrote:
>
>
> On Wed, 2015-08-12 at 17:28, Cedric St-Jean
> wrote:
> > On Wednesday, August 12, 2015 at 12:15:19 AM UTC-4, Stefan Karpinski
> wrote:
> >>
> >> You c
Is it possible?
Hello all. New user here with a couple' questions.
Is it possible to set up Julia for distributed computing in Windows cluster?
How?
Is there a way to delete a variable once created? Not just free mem making x=0.
Thank you.
M.
Good question. I have not tried to do this, it's been about 6 years since I
last used a Windows cluster.
Built-in, it looks like the only remote cluster manager available by
default in base Julia communicates over ssh
-
http://docs.julialang.org/en/latest/manual/parallel-computing/#man-cluster
Five weeks later – still processing the videos?
On Thursday, July 2, 2015 at 2:11:52 AM UTC-7, Stefan Karpinski wrote:
>
> The AV crew was actually paid and they're actively working on the videos,
> so that should be done soonish. Will let everyone know once it's done, of
> course. I'm eager to
Perhaps they are planning to upload the videos when 0.4 gets released in
order to maximize the media impact.
On Wednesday, August 12, 2015 at 5:58:50 PM UTC-7, ron...@gmail.com wrote:
>
> Five weeks later – still processing the videos?
>
> On Thursday, July 2, 2015 at 2:11:52 AM UTC-7, Stefan Kar
No, there is no such plan to co-ordinate with the 0.4 release.
We are still processing videos and fixing issues. It is unfortunately not easy,
with multiple cameras, two tracks, video/sound quality issues and fully managed
by volunteers. I do wish things would not be this slow, but it turns out
Which I'm sure depends on some mistake I'm making, but what?
This:
```julia
function imread!(a,fname,sz)
stream, _ = open(`dcraw -w -H 0 -o 0 -h -4 -c $fname`)
data = read(stream, UInt16, 3, sz[1], sz[2])
for i in eachindex(a)
a[i] = (data[2,i] + 1.)/65536
end
end
```
is a lot faster than this:
``
I guess that you're waiting to release them all at once. Please consider
releasing each video as it is finished; perhaps accompanied by a post to
this group. I think this would focus attention on each talk, and encourage
conversation on talks that may not get so much attention in an all-at-once
re
+1
On Thu, Aug 13, 2015 at 6:54 AM, Christian Peel wrote:
> I guess that you're waiting to release them all at once. Please consider
> releasing each video as it is finished; perhaps accompanied by a post to
> this group. I think this would focus attention on each talk, and encourage
> conversa
We’ll start doing them in groups. One at a time would be a lot of work, and
take several weeks!
-viral
> On 13-Aug-2015, at 10:24 am, Christian Peel wrote:
>
> I guess that you're waiting to release them all at once. Please consider
> releasing each video as it is finished; perhaps accompa
If you can write a ClusterManager ( look at ClusterManager.jl for some
examples), there is no particular reason why it should not be possible.
On Thu, Aug 13, 2015 at 1:50 AM, Marcio Sales wrote:
> Is it possible?
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