Re: [julia-users] Re: Cell array of images like Matlab

julia version??? julia>versioninfo() ​ 2016-09-09 21:19 GMT-03:00 Drew Mahedy : > In Julia, if I try and concatenate two images together of type: > > Array{ColorTypes.Gray{FixedPointNumbers.UFixed{UInt8,8}},2} via > > cat( 3, img, img ), > > I get the following error: > >

[julia-users] Re: Parallel computing and type-stability

@Yichao Yu: Sure. I'm aware that there is a lot of overhead in the inter process communication. This was just a minimal test case, not something I expect to run fast(er). (A silly nworker() implementation indeed;-)) I was just curious if it is possible to reduce the type instability showing up

Re: [julia-users] IBM Power port

One more nightly on power: http://s3.amazonaws.com/julianightlies/bin/linux/ppc64le/0.6/julia-0.6.0-5f91c39b1c-linuxppc64.tar.gz With this PR being merged, I am hoping 0.5 will build fine on the powerpc buildbot, and that we should start getting regular nightlies (until something break).

[julia-users] Cannot start Julia in Atom

ERROR: LoadError: ArgumentError: Juno not found in path in require at loading.jl:249 in include at boot.jl:261 in include_from_node1 at loading.jl:320 in process_options at client.jl:280 in _start at client.jl:378 while loading C:\Users\think\.atom\packages\julia-client\script\boot.jl, in

[julia-users] Installation error

Was told: Error installing Atom.jl package Go to the Packages → Julia → Open Terminal menu and run `Pkg.add("Atom")` in Julia, then try again. If you still see an issue, please report it to: julia-users@googlegroups.com But doesn't work:

[julia-users] Re: newest stable version of julia on EC2 AWS instances - starcluster

I do not know an answer, but you may want to use the amazon cluster generator (cfncluster). It is under constant development, unlike starcluster. It may be easier. https://github.com/awslabs/cfncluster On Friday, September 9, 2016 at 7:21:33 PM UTC-5, Alexandros Fakos wrote: > > Hi, > > I

Re: [julia-users] How to use jl_call1 with a struct argument?

On Fri, Sep 9, 2016 at 9:03 PM, Yichao Yu wrote: > > > On Fri, Sep 9, 2016 at 8:36 PM, K leo wrote: > >> Bart, >> >> Can you explain what you mean by "need to be rooted"? The jl_new_struct >> statement as Isaiah suggested works, why do we need the

Re: [julia-users] How to use jl_call1 with a struct argument?

On Fri, Sep 9, 2016 at 8:36 PM, K leo wrote: > Bart, > > Can you explain what you mean by "need to be rooted"? The jl_new_struct > statement as Isaiah suggested works, why do we need the additional > statements as you suggested? > Because it doesn't, it'll segfault at any

Re: [julia-users] How to use jl_call1 with a struct argument?

Bart, Can you explain what you mean by "need to be rooted"? The jl_new_struct statement as Isaiah suggested works, why do we need the additional statements as you suggested? On Saturday, September 10, 2016 at 3:38:27 AM UTC+8, Bart Janssens wrote: > > > > On Fri, Sep 9, 2016 at 6:44 PM

[julia-users] newest stable version of julia on EC2 AWS instances - starcluster

Hi, I am trying to run julia in parallel on EC2 AWS. I use the starcluster package to create a cluster of instances. The problem is that the instances have already installed the 0.3.0 prerelease. I log in the starcluster master node and use the instructions from

[julia-users] Re: Cell array of images like Matlab

In Julia, if I try and concatenate two images together of type: Array{ColorTypes.Gray{FixedPointNumbers.UFixed{UInt8,8}},2} via cat( 3, img, img ), I get the following error: Only two-dimensional images are supported On Wednesday, September 7, 2016 at 7:24:14 PM UTC-7, Uwe Fechner wrote: > >

[julia-users] Re: Cell array of images like Matlab

In Julia, if I try and concatenate two images together of type: Array{ColorTypes.Gray{FixedPointNumbers.UFixed{UInt8,8}},2} via cat( 3, img, img ), I get the following error: Only two-dimensional images are supported On Friday, September 9, 2016 at 5:01:39 PM UTC-7, Drew Mahedy wrote: > >

[julia-users] Re: Cell array of images like Matlab

Here is what the code looks like in MATLAB: AA = cell( size(trimcoorddir,1), 1 ); figpathdir2 = dir( strrep( figpath2, '\', filesep ) ); fignames2 = {figpathdir2.name}; for i = 1:length(trimcoorddir); if all( strcmp( fignames2, trimcoord{i}.filename ) == 0 ); A = imread( strrep(

Re: [julia-users] How to use jl_call1 with a struct argument?

Thanks again. What is jl_init("/Users/inorton/git/jl71/usr/lib/")? On Saturday, September 10, 2016 at 12:44:32 AM UTC+8, Isaiah wrote: > > (Disregard my suggestion about `Ptr{TestType}`, `jl_call1` only takes > boxed arguments so that won't work) > > The problem is that the passed argument type

[julia-users] Re: whole arrays pass by reference while matrix columns by value?

thank you all for your helpful suggestions! alex On Wednesday, September 7, 2016 at 7:00:00 PM UTC-5, Alexandros Fakos wrote: > > Hi, > > a=rand(10,2) > b=rand(10) > sort!(b) modifies b > but sort!(a[:,1]) does not modify the first column of matrix a > > why is that? Does this mean that i cannot

[julia-users] Re: Parallel computing and type-stability

When I run this code in Julia 0.5.0-rc4 the code is much shorter and most of the red indicating type instability is gone. Cheers.

[julia-users] Re: ProfileView not compatible with julia-0.5?

Yes, you can checkout a branch of the repository via Pkg.checkout("Package","branch"). Note that the default is for the master branch, i.e. Pkg.checkout("ProfileView") will checkout master. This will put you on the "current up-to-date" branch, which could be different than the most recent

[julia-users] Re: ProfileView not compatible with julia-0.5?

Chris Rackauckas wrote: > Did you checkout master? > No I just did Pkg.add("ProfileView"). I don't actually know how to do otherwise - is that a Pkg option? > On Friday, September 9, 2016 at 2:55:21 PM UTC-7, Neal Becker wrote: >> >> using ProfileView >> INFO: Precompiling module

[julia-users] Re: Maps in Julia?

> > ... and transform geographic coordinates (GNSS logger lat, lon) to UTM > (cartesian, unit = metre) by calling libgeographic. > Geodesy.jl now has a native port of libgeographics UTM conversion code - you might possibly find that convenient. Andy

[julia-users] Re: Running octave scrips from julia

You accidentally revived a >1 year old thread. On Friday, September 9, 2016 at 4:32:56 AM UTC-7, Steven G. Johnson wrote: > > > > On Friday, February 6, 2015 at 2:03:23 PM UTC-5, astromono wrote: >> >> in pyinitialize at /home/rober/.julia/v0.4/PyCall/src/pyinit.jl:245 >> > > I think you must

[julia-users] Re: Running octave scrips from julia

I guess not >1 year, but getting close to a year. On Friday, September 9, 2016 at 4:32:56 AM UTC-7, Steven G. Johnson wrote: > > > > On Friday, February 6, 2015 at 2:03:23 PM UTC-5, astromono wrote: >> >> in pyinitialize at /home/rober/.julia/v0.4/PyCall/src/pyinit.jl:245 >> > > I think you

[julia-users] Re: ProfileView not compatible with julia-0.5?

Did you checkout master? On Friday, September 9, 2016 at 2:55:21 PM UTC-7, Neal Becker wrote: > > using ProfileView > INFO: Precompiling module ProfileView. > WARNING: Module Compat with uuid 314389968181888 is missing from the > cache. > This may mean module Compat does not support

[julia-users] ProfileView not compatible with julia-0.5?

using ProfileView INFO: Precompiling module ProfileView. WARNING: Module Compat with uuid 314389968181888 is missing from the cache. This may mean module Compat does not support precompilation but is imported by a module that does. ERROR: LoadError: Declaring __precompile__(false) is not allowed

Re: [julia-users] Re: Why is BLAS.dot slower than BLAS.axpy!?

I did blas_set_num_threads(1) with the same profile numbers. This is using Apple’s BLAS. Maybe I’ll try 0.5 and OpenBLAS for comparison. > On 10 Sep 2016, at 2:34 AM, Andreas Noack > wrote: > > Try to time it again with threading disabled. Sometimes the

[julia-users] Re: Parallel computation of Array of user-defined types

Thanks German, indeed I have seen that SharedArrays couldn't be used for user-defined types... I tried to compare the approach you suggested with the serial one, and results are so awfully slow with the parallel version that I might have done something wrong... Here it is: @everywhere type T a

[julia-users] Re: "WARNING: replacing module" when invoking function with @everywhere - but module not available otherwise

Thanks for the info and for the link, it's a good read. I wonder if anybody else has run into the issues Tim Holy mentions, with @everywhere using X. Cheers! vineri, 9 septembrie 2016, 20:23:22 UTC+2, Patrick Belliveau a scris: > > Hi, > Running your code effectively executes > >

Re: [julia-users] How to use jl_call1 with a struct argument?

On Fri, Sep 9, 2016 at 6:44 PM Isaiah Norton wrote: >// construct a TestType instance > > jl_value_t* jl_A = > jl_new_struct((jl_datatype_t*)jl_get_function((jl_module_t*)mod, > "TestType"), > jl_box_float64(A.a), >

[julia-users] Re: Maps in Julia?

Wow, that's interesting! Thanks for pointing that out! On Friday, September 9, 2016 at 4:28:12 PM UTC+3, Michael Borregaard wrote: > > You can open esri shapefiles with shapefiles.jl. There is a plotting > function for shapefiles in plotrecipes.jl. You can layer shapefiles to > create vector

[julia-users] Re: "WARNING: replacing module" when invoking function with @everywhere - but module not available otherwise

Hi, Running your code effectively executes @everywhere using HttpServer This is known to generate those method redefinition warnings. The behaviour of using in a parallel environment is a known unresolved bug. It seems like the best syntax to use right now is import HttpServer #Executed

Re: [julia-users] Re: idiom for standard basis vector (eg [0,1,0])

Here is something short: ```Julia bv(i,n) = [j==i for j in 1:n] ``` This returns a vector of `Bool`. In Julia, `Bool` is a numeric type that is automatically promoted to `Int` / `Float` / etc. where necessary. If you want, you can add an explicit type (e.g. `Float64`) in front of the array

[julia-users] Re: idiom for standard basis vector (eg [0,1,0])

You could implement: Base.getindex(U::UniformScaling, I::AbstractArray, j::Int) = [U[i,j] for i in I] Base.getindex(U::UniformScaling, i::Int, J::AbstractArray) = [U[i,j] for j in J] Base.getindex(U::UniformScaling, I::AbstractArray, J::AbstractArray) = [U[i, j] for i in I, j in J] Then:

[julia-users] "WARNING: replacing module" when invoking function with @everywhere - but module not available otherwise

Hi, I'm fumbling around with a little script with the end goal of running HttpServer handlers on multiple ports, in parallel, with each handler on a separate worker. The code looks like this: # parallel_http.jl using HttpServer function serve(port::Int) http = HttpHandler() do

[julia-users] Re: Assigning a field in Python via reference

On Friday, September 9, 2016 at 11:47:45 AM UTC-4, Christoph Ortner wrote: > > Because I want to reinterpret it as a Vector of fixed size arrays. Can > this be done with a PyArray directly? (I can't try it out right now) No.

[julia-users] Re: idiom for standard basis vector (eg [0,1,0])

On Friday, September 9, 2016 at 11:56:58 AM UTC-4, Christoph Ortner wrote: > > I predict that - right now - somebody is writing an answer explaining why > this is terrible and you need an abstract array type with lazy evaluation. > ;) Well, we already have the built-in constant I. I[i,j] is

Re: [julia-users] How to use jl_call1 with a struct argument?

(Disregard my suggestion about `Ptr{TestType}`, `jl_call1` only takes boxed arguments so that won't work) The problem is that the passed argument type does not match any available method (because it isn't actually passed a julia type at all) so `jl_call1` silently gives up. The `jl_call*` methods

[julia-users] Re: Parallel computation of Array of user-defined types

I usually use a combination of @spawn and fetch. @spawn fires a lightweigth task that can return a value of any type, which can be collected by the main thread with fetch: refs = Vector{RemoteRef}(N) for i in 1:N refs[i] = @spawn begin doSomethingAndReturnValueOfTypeT end end for i in 1:N v[i]

[julia-users] Re: Why is BLAS.dot slower than BLAS.axpy!?

Try to time it again with threading disabled. Sometimes the threading heuristics can cause unintuitive performance. On Friday, September 9, 2016 at 6:39:13 AM UTC-4, Sheehan Olver wrote: > > > I have the following code that is part of a Householder routine, where > j::Int64, > N::Int64,

Re: [julia-users] Parallel computing and type-stability

On Fri, Sep 9, 2016 at 12:07 PM, Sleort wrote: > I've been playing around with the parallel functionality of Julia (0.4.6) > in order to get a better understanding of it. Just for the sake of testing, > I made a "silly" nworkers() implementation like > julia> function

[julia-users] Parallel computing and type-stability

I've been playing around with the parallel functionality of Julia (0.4.6) in order to get a better understanding of it. Just for the sake of testing, I made a "silly" nworkers() implementation like julia> function silly_nworkers() @parallel (+) for p in workers() 1 end end which, as

[julia-users] idiom for standard basis vector (eg [0,1,0])

I predict that - right now - somebody is writing an answer explaining why this is terrible and you need an abstract array type with lazy evaluation. ;)

[julia-users] Re: Assigning a field in Python via reference

Because I want to reinterpret it as a Vector of fixed size arrays. Can this be done with a PyArray directly? (I can't try it out right now)

[julia-users] PyPlot x(y)tick label fontsize

ax[:tick_params]("both",labelsize=24) See http://matplotlib.org/api/pyplot_api.html for related functions and arguments.

[julia-users] Re: [julia-dev] Convert a dense matrix A into a sparse matrix with sparsevec(A)

This thread is old, but I was poking through some unread bits and found it. Beyond that, it’s likely a better question for julia-users list (which I’m including here). Anyhow, the answer is that sparsevec converts a dense matrix into a sparse matrix format where zero values are not explicitly

[julia-users] Precompilation (using usrimg.jl) of pkg using binary lib

Hi all! I have a package which depends a external binary library(I will just write dll from now on), I want to figure out a way to call the dll in a way that if some user decides to precompile a system image with this library it can still work. My package is Xpress.jl (I know it wraps

Re: [julia-users] Re: basic question on structuring modules

Depends on what you want. If it is part of something larger but want to keep it in a separate file, you can just include it --- this is a standard solution for writing more complex modules. On Fri, Sep 09 2016, Neal Becker wrote: > K leo wrote: > >> The module name needs to be the same as the

[julia-users] Re: basic question on structuring modules

If you don't want to use a module you will have to explicitly include the file using include(path::AbstractString) And the content of the file will be evaluated in the current context (providing mixin behavior). That should be OK for very short scripts / apps. For anything bigger you should

[julia-users] Re: basic question on structuring modules

By convention, module names should be PascalCase. Thus, you'll end up with # Foo.jl module Foo function foo() end end Julia being case sensitive, there will be no name clashes. vineri, 9 septembrie 2016, 15:29:48 UTC+2, Neal Becker a scris: > > Let's say I have a simple module which

[julia-users] Re: basic question on structuring modules

K leo wrote: > The module name needs to be the same as the file, so in this case you need > to change the function name. > > On Friday, September 9, 2016 at 9:29:48 PM UTC+8, Neal Becker wrote: >> >> Let's say I have a simple module which contains 1 function called "foo" >> >> I might create

[julia-users] Re: basic question on structuring modules

The module name needs to be the same as the file, so in this case you need to change the function name. On Friday, September 9, 2016 at 9:29:48 PM UTC+8, Neal Becker wrote: > > Let's say I have a simple module which contains 1 function called "foo" > > I might create foo.jl that contains > >

[julia-users] PyPlot x(y)tick label fontsize

Dear all, i am using PyPlot for a simple sine plot and i am trying to increase the fontsize of x(y) *tick* labels (*not* x(y) *axis* labes). The following code... using PyPlot # generate data: x = 0:0.01:30 sin_noise(arr) = sin(arr) + rand(length(arr)) # Create a figure fig =

[julia-users] Re: ANN: Julia 0.5.0-rc4 now available

Nice work! The regression of RC3 on the load time packages is fixed. On Friday, September 9, 2016 at 9:39:38 AM UTC+2, Tony Kelman wrote: > > I have just tagged and uploaded release candidate 4 for Julia version > 0.5.0. Binaries are available from > > >

[julia-users] basic question on structuring modules

Let's say I have a simple module which contains 1 function called "foo" I might create foo.jl that contains foo.jl module foo function foo ... end end This doesn't work, it seems the module name collides with the function name. foo.jl module foo_mod function foo ... end end This

[julia-users] Re: Maps in Julia?

You can open esri shapefiles with shapefiles.jl. There is a plotting function for shapefiles in plotrecipes.jl. You can layer shapefiles to create vector maps. I am happy to help out if you want to use this.

Re: [julia-users] How to use jl_call1 with a struct argument?

Isaiah, Thanks for the reply. I tried your advice A, i.e. "change to an immutable on julia side, and change function signature to 'Ptr{TestType}'", and the code behaves the same as before, i.e. it compiles OK and runs OK but does not show the output of the println in the function. I guess

[julia-users] Re: Assigning a field in Python via reference

On Friday, September 9, 2016 at 8:33:09 AM UTC-4, Christoph Ortner wrote: > > It now looks to me like the "problem" is with Python, not with PyCall; I > thought the assignment pyobj.X = X would be by reference, but apparently > it makes a copy ?!? > Converting an array from Julia to Python

Re: [julia-users] How to use jl_call1 with a struct argument?

In c, 'struct TestType' is plain old data, not a Julia type (jl_value_t). Either change to an immutable on julia side, and change function signature to 'Ptr{TestType}'; or allocate a 'jl_value_t*' with the correct type tag, and set the fields. On Friday, September 9, 2016, K leo

[julia-users] Re: Assigning a field in Python via reference

To partially answer my own question --- I just hadn't thought of this alternative route before --- the following seems to do it: X = pointer_to_array(Xpy.data, (Xpy.dims[2], Xpy.dims[1]), false) Are there any concerns associated with this other than the risk that Python might free the

[julia-users] Re: Assigning a field in Python via reference

It now looks to me like the "problem" is with Python, not with PyCall; I thought the assignment pyobj.X = X would be by reference, but apparently it makes a copy ?!? Alternatively, to achieve what I want I could do Xpy = PyArray( pyobj.X ) Now Xpy is really a reference to the array I want

[julia-users] Re: Assigning a field in Python via reference

Sorry - I was rushing when I wrote this. What I meant was: after the assignment pyobj["X"] = Xpy, if I modify X in-place, this modification does not seem to propagate to pyobj.X. I will try to put together an example.

[julia-users] idiom for standard basis vector (eg [0,1,0])

Is there a preferred constructor for standard basis vectors? Eg something equivalent to function sbvec(T, n, i) v = zeros(T, n) v[i] = one(T) v end Note that I am not implying that there should be one in Base etc. I would just avoid defining if already available, but could not find

[julia-users] Re: Inference and Core.Box - why is this happening?

I was referred to that issue earlier but didn't quite get why, but now I see it! Thanks. On Friday, September 9, 2016 at 1:02:27 PM UTC+2, Lutfullah Tomak wrote: > > Using a captured variable in a closure makes it somehow a Core.box. > Generator defines an anonymous with maxV so it is hitting

Re: [julia-users] Julia with fewer dependencies?

Thanks! That is a great start! Joaquim > On 6 de set de 2016, at 03:24, Michele Zaffalon > wrote: > > Is this maybe what you are looking for > https://groups.google.com/d/msg/julia-users/WStpLtrKiFA/JhiAbc-vAwAJ? > >> On Mon, Sep 5, 2016 at 11:10 PM, Joaquim

[julia-users] Re: @profile does not allow variable assignment on v0.5

I'm pretty sure this behaved differently some time ago, because that was a piece of working code. It's not worth a bug report though. On Friday, 9 September 2016 13:19:12 UTC+2, Lutfullah Tomak wrote: > > I think it is on the way @profile defined makes it not processed in outer > scope > >

[julia-users] Re: Preferred MIME type for Julia

On Thursday, September 8, 2016 at 8:42:51 PM UTC-4, Fengyang Wang wrote: > > What is the standard MIME type for Julia code? > > My reading of the MIME standard leads to me think > application/x-julia > > is the accurate choice. However, I could only find few results on Google, > and Julia

[julia-users] Re: Assigning a field in Python via reference

On Friday, September 9, 2016 at 2:56:02 AM UTC-4, Christoph Ortner wrote > > (2) convert it to a PyArray (no copy) : > Xpy = PyArray(X) > > > (3) then assign this to a field of an object: > pyobj["X"] = Xpy orpyobj["X"] = Xpy.o or > > The aim is, when I modify X, then the data

[julia-users] Re: Running octave scrips from julia

On Friday, February 6, 2015 at 2:03:23 PM UTC-5, astromono wrote: > > in pyinitialize at /home/rober/.julia/v0.4/PyCall/src/pyinit.jl:245 > I think you must have pinned PyCall at some ancient version, because the current pyinit.jl file only has 115 lines.

[julia-users] Re: @profile does not allow variable assignment on v0.5

I think it is on the way @profile defined makes it not processed in outer scope julia> macroexpand(:(@profile y = f(5))) quote # profile.jl, line 11: try # profile.jl, line 12: #10#status = (Base.Profile.start_timer)() # profile.jl, line 13: if #10#status < 0 # profile.jl,

Re: [julia-users] @profile does not allow variable assignment on v0.5

On Fri, Sep 9, 2016 at 6:04 AM, Florian Oswald wrote: > hi all, > > on v0.5-rc3, I see this > > *julia> **f(x)=x^3* > > *f (generic function with 1 method)* > > > *julia> **@profile y = f(5)* > > *125* > > > *julia> **y* > > *ERROR: UndefVarError: y not defined* > > > >

[julia-users] Re: Inference and Core.Box - why is this happening?

Using a captured variable in a closure makes it somehow a Core.box. Generator defines an anonymous with maxV so it is hitting something like this https://github.com/JuliaLang/julia/issues/15276 Smaller repro function c!{T}(::T,P) if length(P)>2 maxV = one(T) d = x->maxV end P end

[julia-users] Parallel computation of Array of user-defined types

Hello, What would be the best option to parallelize this code: type T a end f(i) = T(i) v = map(f, collect(1:1:100)) This example could sound stupid but the point is that I have a function ```f``` that returns a rather complicated user-defined type ```T```, and I need to store a lot of these

[julia-users] Why is BLAS.dot slower than BLAS.axpy!?

I have the following code that is part of a Householder routine, where j::Int64, N::Int64, R.cols::Vector{Int64}, wp::Ptr{Float64}, M::Int64, v::Ptr{Float64}: … for j=k:N v=r+(R.cols[j]+k-2)*sz dt=BLAS.dot(M,wp,1,v,1) BLAS.axpy!(M,-2*dt,wp,1,v,1)

[julia-users] @profile does not allow variable assignment on v0.5

hi all, on v0.5-rc3, I see this *julia> **f(x)=x^3* *f (generic function with 1 method)* *julia> **@profile y = f(5)* *125* *julia> **y* *ERROR: UndefVarError: y not defined* which used to work in previous versions. Is that intended behaviour?

[julia-users] Inference and Core.Box - why is this happening?

So, I am kind of confused here. In my code, a maxV = maximum(V) is labeled as Core.Box in @code_warntype, but if I remove a line after the line where maxV is calculated, it is correctly labelled as eltype(V). Can anyone explain what happens/what I am doing wrong here? This is not the whole

Re: [julia-users] Re: How I did get a spurious method for *{T}(Irrational{T},Irrational{T})?

https://github.com/JuliaLang/julia/issues/18419 --Tim On Wednesday, September 7, 2016 12:59:05 AM CDT Lutfullah Tomak wrote: > A reduced case that also makes multiplication of the same Irrational an > error. > >_ >_ _ _(_)_ | A fresh approach to technical

[julia-users] How to use jl_call1 with a struct argument?

I tried the following, it compiles OK and runs OK, but it appears the julia function is not called (because there is no output from the println statement). What is wrong? #include > #include > using namespace std; > struct TestType { > double a; > double b; > }; > int main(int argc,

[julia-users] ANN: Julia 0.5.0-rc4 now available

I have just tagged and uploaded release candidate 4 for Julia version 0.5.0. Binaries are available from https://s3.amazonaws.com/julialang/bin/linux/x64/0.5/julia-0.5.0-rc4-linux-x86_64.tar.gz https://s3.amazonaws.com/julialang/bin/linux/x86/0.5/julia-0.5.0-rc4-linux-i686.tar.gz

[julia-users] Assigning a field in Python via reference

I am trying to (1) create an array in Julia: X = rand(3,10) (2) convert it to a PyArray (no copy) : Xpy = PyArray(X) (3) then assign this to a field of an object: pyobj["X"] = Xpy orpyobj["X"] = Xpy.o or The aim is, when I modify X, then the data in pyobj[:X] should