Thanks a lot Chris and Josef
I was missing the inline("atom")
I hope GR helps me on plotting faster than PyPlot.
thanks,
On Monday, October 17, 2016 at 6:22:51 AM UTC-7, Josef Heinen wrote:
>
> You should probably test (plain) GR first:
>
> using GR
> inline("atom")
> histogram(randn(1))
>
I hadn't thought of using the debugger to step through and see where a
function call ends up. That is a great idea.
Thanks,
Colin
On Tuesday, 18 October 2016 02:01:43 UTC+11, Patrick Belliveau wrote:
>
> I would add the general comment that in julia 0.5 you can use Gallium to
> step into a
Powershell has types for xml, so maybe telling it to expect an xml result (or
convert the string to xml) would result in different output formatting?
Thank you Steven, I fixed the issue by storing other objects in the
PriorityQueue.
-Júlio
2016-10-17 14:27 GMT-07:00 Steven G. Johnson :
> Make a copy before you mutate it. In general, it is not safe to mutate
> the keys of a dictionary, which is what you are doing.
>
So, it turns out it's not the run command, as I originally thought. After
more digging, I discovered that powershell formats output differently
depending on whether it is outputting to a console or to another process,
and that when it outputs to another process it auto-formats the output.
Make a copy before you mutate it. In general, it is not safe to mutate the
keys of a dictionary, which is what you are doing.
Enter code here...
As one of the multitudes stuck behind a corporate firewall, I'm attempting
to find a work-around for using the WinRPM package (see this
issue: https://github.com/JuliaPackaging/WinRPM.jl/issues/40).
In the process, I have uncovered some unusual behavior in the run command -
The exported logic requires both the real and the imaginary parts be given.
ComplexField = AcbField(64)
complexValue = ComplexField(1, 0)
On Monday, October 17, 2016 at 8:08:40 AM UTC-4, digxx wrote:
>
> push...
1) You should join us in the Gitter
chatroom https://github.com/JuliaLang/julia, it actually can be a better
place to get quick answers to simple questions like this than julia-users.
2) I tested with v0.4.5, and it worked fine for me. Show us (in the Gitter
chat room) exactly what you did and
I didn't success doing it.
But I did it with iruby is there a way to adapt it ?
def odd_magic_square(n)
raise ArgumentError "Need odd positive number" if n.even? || n <= 0
n.times.map{|i| n.times.map{|j| n*((i+j+1+n/2)%n) + ((i+2*j-5)%n) + 1} }
end
[3].each do |n|
#puts "\nSize #{n},
Hi,
Consider the following snippet:
using LightGraphs
using Base.Collections
pq = PriorityQueue(DiGraph, Int)
G = DiGraph(3)
add_edge!(G, 1,2)
enqueue!(pq, G, 1)
# reverse edge
rem_edge!(G, 1,2)
add_edge!(G, 2,1)
enqueue!(pq, G, 2)
It produces this error:
ERROR: ArgumentError:
Hello,
I'd like to know if it's possible to use a local installation of Juno/Atom
with a Julia session on another server on the LAN ?
I can connect to the server through SSH and the files would be on the
server too. I'm just wondering if the console of the Juno editor can be
linked to a
Yes, that's essentially it – except that since we haven't converged on a
particular design, it's hard to say exactly what interfaces are at this
point. But yes, it's something that provides a first class representation
of some protocol/interface.
On Mon, Oct 17, 2016 at 11:33 AM, Brian Rogoff
Thanks for the responses.
Raph, thank you again. I very much appreciate your "humble offering".
I'll take a further look into your gist.
Steven, I'm happy to use the right tool for the job...so long as I have an
idea of what it is. Would you care to offer more insights or suggestions
for
Hmmm, I'd tried it on v0.4.7, and the second one did work, I'm surprised it
failed in v0.4.5.
To get the latest: http://julialang.org/downloads/
On Monday, October 17, 2016 at 8:54:12 AM UTC-4, Sujoy Datta wrote:
>
> he
> Thank you, Tim and Scott. I am using version 0.4.5 and both of these
>
Good one, Dan! 2 characters can't be beat! Wonder how the performance
compares.
On Monday, October 17, 2016 at 9:04:11 AM UTC-4, Dan wrote:
>
> If saving characters is a thing, then:
> julia> a = rand(Bool,3,2)
> 3×2 Array{Bool,2}:
> false false
> true false
> false true
>
>
> julia> 1a
On Thursday, October 13, 2016 at 1:00:21 PM UTC-7, Stefan Karpinski wrote:
>
> No, Function doesn't have signatures, arity or return type as part of its
> type. The signature of a function is the union of its method signatures,
> which is potentially very complicated. Type parameters are not
>
I would add the general comment that in julia 0.5 you can use Gallium to
step into a call to a base function and explore what's actually being
called. For the .< example, from the julia prompt:
using Gallium
@enter 0.4 .< 0.5
@enter 0.4 .< 0.5
In operators.jl:159
158 .!=(x::Number,y::Number)
Hi Simon,
Simon Danisch writes:
> I'm guessing that is done to prevent overflow.
> So you need to use your own implementation.
> Here are the promote rules defining this behavior:
> https://github.com/JuliaLang/julia/blob/master/base/reduce.jl#L32
> So in theory you could
I'm guessing that is done to prevent overflow.
So you need to use your own implementation.
Here are the promote rules defining this behavior:
https://github.com/JuliaLang/julia/blob/master/base/reduce.jl#L32
So in theory you could also implement your own Int type, that has a
different promote
On Mon, Oct 17, 2016 at 9:22 AM, Chang Kwon wrote:
>
> It seems that the way Julia handles A[1,:] changed in v0.5.
>
> *julia> **A = [1 2 3; 4 5 6]*
>
> *2×3 Array{Int64,2}:*
>
> * 1 2 3*
>
> * 4 5 6*
>
>
> *julia> **A[1,:]*
>
> *3-element Array{Int64,1}:*
>
> * 1*
>
> *
You should probably test (plain) GR first:
using GR
inline("atom")
histogram(randn(1))
Did you checkout GR master and download the latest run-time?
Pkg.checkout("GR")
ENV["GRDIR"]=""
Pkg.build("GR")
On Sunday, October 16, 2016 at 6:45:07 PM UTC+2, missp...@gmail.com wrote:
>
> Hi folks,
It seems that the way Julia handles A[1,:] changed in v0.5.
*julia> **A = [1 2 3; 4 5 6]*
*2×3 Array{Int64,2}:*
* 1 2 3*
* 4 5 6*
*julia> **A[1,:]*
*3-element Array{Int64,1}:*
* 1*
* 2*
* 3*
*julia> **size(A[1,:])*
*(3,)*
A[1,:] used to be a row-vector in v0.4 same as in
You should probably test (plain) GR first:
```
using GR
inline("atom")
histogram(randn(1))
```
Did you ``Pkg.checkout("GR") and download the latest run-time?
```
ENV["GRDIR"]=""
Pkg.build("GR")
```
On Sunday, October 16, 2016 at 6:45:07 PM UTC+2, missp...@gmail.com wrote:
>
> Hi folks,
>
Hi,
probably a very basic question, but I'm just starting to play around
with Julia types.
I was hoping to improve the performance of a little program I wrote, so
I decided to try Int32 integers instead of the default Int64, but if I
try to use sum, it seems that it is expecting Int64 and the
If saving characters is a thing, then:
julia> a = rand(Bool,3,2)
3×2 Array{Bool,2}:
false false
true false
false true
julia> 1a
3×2 Array{Int64,2}:
0 0
1 0
0 1
On Monday, October 17, 2016 at 2:08:44 PM UTC+3, Scott Jones wrote:
>
> Tim, do you know if there is any difference in
he
Thank you, Tim and Scott. I am using version 0.4.5 and both of these
methods are not working.Good to know in the latest version, this can be
done.
Anyway, I just found that while adding, the bits becomes numbers, so, I did
this (soo.bad trick,I think):
x=BitArray(falses(20,8))
y=x+false
By
push...
well this is only for polynomials, right?
Thanks. That makes things clearer.
Den fredag 14 oktober 2016 kl. 14:16:54 UTC+2 skrev Yichao Yu:
>
>
>
> On Fri, Oct 14, 2016 at 7:03 AM, Bart Janssens > wrote:
>
>> Hi,
>>
>> Replies below, to the best of my understanding of the Julia C interface:
>>
>> On Fri, Oct
Tim, do you know if there is any difference in performance between the two
methods?
Note, Sujoy, the first method that Tim showed is only available on v0.5 and
later (some of the nice stuff added to entice people to move off of v0.4.x
to v0.5.x ;-) )
On Monday, October 17, 2016 at 5:48:20 AM
On Friday, October 14, 2016 at 1:00:35 PM UTC-4, Páll Haraldsson wrote:
>
> On Thursday, October 13, 2016 at 7:49:51 PM UTC, cdm wrote:
>>
>> from CloudArray.jl:
>>
>> "If you are dealing with big data, i.e., your RAM memory is not enough
>> to store your data, you can create a CloudArray from
julia> a = bitrand(3,5)
3×5 BitArray{2}:
true false false true true
false true true true false
true true true true true
julia> Int.(a)
3×5 Array{Int64,2}:
1 0 0 1 1
0 1 1 1 0
1 1 1 1 1
julia> convert(Array{Int}, a)
3×5 Array{Int64,2}:
1 0 0 1 1
0 1 1
I am a new user of Julia. Please help me to convert a nxm BitArray to an
nxm IntegerArray.
What I want is to print 1 for 'true' and 0 for 'false'.
Thank you in advance.
Le lundi 17 octobre 2016 à 06:32 +0200, henri.gir...@gmail.com a
écrit :
> In fact I don't know how to make the nice border but I noticed
> dataframe
> does it ...
>
> I only need the nice border for the matrix, but I don't know how to
> do it ?
>
> Maybe I should ask how to make a nice border
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