[julia-users] DataFrames io error
I have a small program that uses DataFrames to read in a file, does some
simple computation and then plots some variables using Winston. I run
it with the following:
julia include(PlotBasics.jl)
PlotBasics (generic function with 1 method)
julia PlotBasics()
It runs fine the first time, but if I change the variables for plot and
run it the second time, I got the following errors now (it used to run
perfectly before). If I restart julia and run it again, it runs fine
the first time.
julia PlotBasics()
ERROR: `convert` has no method matching
convert(::Type{Array{Float64,N}}, ::Array{Int64,1})
in convert at base.jl:13
in builddf at /home/xxx/.julia/DataFrames/src/dataframe/io.jl:583
in readtable! at /home/xxx/.julia/DataFrames/src/dataframe/io.jl:783
in readtable at /home/xxx/.julia/DataFrames/src/dataframe/io.jl:868
in readtable at /home/xxx/.julia/DataFrames/src/dataframe/io.jl:935
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_)| Documentation: http://docs.julialang.org
_ _ _| |_ __ _ | Type help() for help.
| | | | | | |/ _` | |
| | |_| | | | (_| | | Version 0.3.2 (2014-10-21 20:18 UTC)
_/ |\__'_|_|_|\__'_| | Official http://julialang.org release
|__/ | x86_64-linux-gnu
Re: [julia-users] DataFrames io error
I suspect the convert bug, which you can find in multiple instances by
searching the issues. Try pinning the Color package at v0.3.9 or v0.3.6 and
see if this works around the bug.
--Tim
On Monday, November 03, 2014 04:48:13 PM K Leo wrote:
I have a small program that uses DataFrames to read in a file, does some
simple computation and then plots some variables using Winston. I run
it with the following:
julia include(PlotBasics.jl)
PlotBasics (generic function with 1 method)
julia PlotBasics()
It runs fine the first time, but if I change the variables for plot and
run it the second time, I got the following errors now (it used to run
perfectly before). If I restart julia and run it again, it runs fine
the first time.
julia PlotBasics()
ERROR: `convert` has no method matching
convert(::Type{Array{Float64,N}}, ::Array{Int64,1})
in convert at base.jl:13
in builddf at /home/xxx/.julia/DataFrames/src/dataframe/io.jl:583
in readtable! at /home/xxx/.julia/DataFrames/src/dataframe/io.jl:783
in readtable at /home/xxx/.julia/DataFrames/src/dataframe/io.jl:868
in readtable at /home/xxx/.julia/DataFrames/src/dataframe/io.jl:935
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_)| Documentation: http://docs.julialang.org
_ _ _| |_ __ _ | Type help() for help.
| | | | | | |/ _` | |
| | |
| | |_| | | | (_| | | Version 0.3.2 (2014-10-21 20:18 UTC)
_/ |\__'_|_|_|\__'_| | Official http://julialang.org release
|__/ | x86_64-linux-gnu
[julia-users] Linear Algebra
I have several problems that are mix between Linear Algebra and Combinatorics and I recently started to use Julia. I am wondering what would be the shortest learning path to achieve my goal: learn how to use Julia with Linear Algebra mixed with Combinatorics. Maybe from the Julia manual I need to read only: 1) Functions (because I need to split the project into manageable parts) 2) Methods (the same as above) 3) Modules (the same as above) 4) Metaprogramming (because I might need it ... ) 5) Multi-dimensional Arrays (I can use them as vectors right? ...) 6) Linear algebra (because this is the type of my main problems) 7) Combinatorics (because I need combinatorics too) 8) The Standard Library = Parallel Computing (because I need to solve big problems fast) 9) Parallel Computing (the same as above) If you have some experience, please if you can tell me ...
Re: [julia-users] Identify bounds error
Sorry, I don't think I understand your suggestion. What exactly should I put into a function?
[julia-users] using filter function
The documentation says: filter(function, collection) Return a copy of collection, removing elements for which function is false. For associative collections, the function is passed two arguments (key and value). how to write the fucntion? I am trying to get elements which are nonzero. Any Help is much appreciated!
Re: [julia-users] using filter function
You just need to write a function that returns false for the elements you want
to filter out. Here’s an example that does what you want:
julia myfilter(x) = x != 0
myfilter (generic function with 1 method)
julia A = [1, 2, 0, 4, 5, 0]
6-element Array{Int64,1}:
1
2
0
4
5
0
julia filter(myfilter, A)
4-element Array{Int64,1}:
1
2
4
5
On Nov 3, 2014, at 10:15 AM, Zahirul ALAM zahirul.a...@gmail.com wrote:
The documentation says:
filter(function, collection)
Return a copy of collection, removing elements for which function is false.
For associative collections,
the function is passed two arguments (key and value).
how to write the fucntion? I am trying to get elements which are nonzero. Any
Help is much appreciated!
Re: [julia-users] DimensionalityReudction PCA error
DimensionalityReduction has been superseded by MultivariateStats. We
purposely restrict the version range of DimensionalityReduction in order to
prevent people from using it in future.
- Dahua
On Monday, October 20, 2014 12:37:14 AM UTC+8, John Myles White wrote:
That package is abandoned. Use MultivariateStats instead.
— John
On Oct 19, 2014, at 9:36 AM, Stefan Karpinski stefan.k...@gmail.com
javascript: wrote:
Looks like the package doesn't support Julia past 0.3.0, which is odd
because 0.3.1 is a bug-fix release. Unfortunately, John is not going to be
able to answer questions for a while. However, you can try filing an issue
with the DimensionalityReduction package repo.
On Oct 19, 2014, at 12:13 PM, Arshak Navruzyan ars...@gmail.com
javascript: wrote:
Thank you for the suggestion.
Pkg.checkout(DimensionalityReduction)
INFO: Checking out DimensionalityReduction master...
INFO: Pulling DimensionalityReduction latest master...
WARNING: julia is fixed at 0.3.1 conflicting with requirement for
DimensionalityReduction: [0.1.0,0.3.0)
INFO: No packages to install, update or remove
What's strange is pca(rand(1000,30)) works just fine. It must be
something with my data just not sure what it could be.
On Sun, Oct 19, 2014 at 8:53 AM, Stefan Karpinski ste...@karpinski.org
javascript: wrote:
It's possible that DimensionalityReduction isn't terribly up to date.
Does anyone know the status of that? You could also do
Pkg.checkout(DimensionalityReduction) and see if this is fixed on the
master branch of the package or not.
On Sun, Oct 19, 2014 at 11:50 AM, Arshak Navruzyan ars...@gmail.com
javascript: wrote:
Julia Version 0.3.1
Commit c03f413* (2014-09-21 21:30 UTC)
Platform Info:
System: Darwin (x86_64-apple-darwin13.3.0)
CPU: Intel(R) Core(TM) i7-3635QM CPU @ 2.40GHz
WORD_SIZE: 64
BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Sandybridge)
LAPACK: libopenblas
LIBM: libopenlibm
LLVM: libLLVM-3.3
On Sun, Oct 19, 2014 at 8:45 AM, Stefan Karpinski ste...@karpinski.org
javascript: wrote:
What version of Julia are you using?
On Sun, Oct 19, 2014 at 11:43 AM, Arshak Navruzyan ars...@gmail.com
javascript: wrote:
I have a 1000x30 Array{Any,2} of floats
when I do pca(matrix) I get
`zero` has no method matching zero(::Type{Any})
while loading In[117], in expression starting on line 1
in normalize at
/Users/arshakn/.julia/v0.3/DimensionalityReduction/src/pca.jl:11
in pcasvd at
/Users/arshakn/.julia/v0.3/DimensionalityReduction/src/pca.jl:58
in pca at
/Users/arshakn/.julia/v0.3/DimensionalityReduction/src/pca.jl:79
pca(matrix; center=false, scale=false) gives me
`one` has no method matching one(::Type{Any})
while loading In[118], in expression starting on line 1
in svdfact at linalg/factorization.jl:660
in pcasvd at
/Users/arshakn/.julia/v0.3/DimensionalityReduction/src/pca.jl:60
in pca at
/Users/arshakn/.julia/v0.3/DimensionalityReduction/src/pca.jl:79
[julia-users] Re: Linear Algebra
This question really depends on your background. My general recommendation to learn Julia would be to start with a deep study of the Differences from other languages section if you have experience in any of the languages listed. Then you should do a fast reading of the manual from the start so that you get an overview of the different parts. Stop reading when you feel you have what you need, and use search to find whatever you need later. My usual search order (after google fails) is: 1. docs.julialang.org 2. julia-users 3. github.com/JuliaLang/julia 4. julia-devs 5. stackoverflow [julia-lang] kl. 08:52:34 UTC+1 mandag 3. november 2014 skrev write2...@gmail.com følgende: I have several problems that are mix between Linear Algebra and Combinatorics and I recently started to use Julia. I am wondering what would be the shortest learning path to achieve my goal: learn how to use Julia with Linear Algebra mixed with Combinatorics. Maybe from the Julia manual I need to read only: 1) Functions (because I need to split the project into manageable parts) 2) Methods (the same as above) 3) Modules (the same as above) 4) Metaprogramming (because I might need it ... ) 5) Multi-dimensional Arrays (I can use them as vectors right? ...) 6) Linear algebra (because this is the type of my main problems) 7) Combinatorics (because I need combinatorics too) 8) The Standard Library = Parallel Computing (because I need to solve big problems fast) 9) Parallel Computing (the same as above) If you have some experience, please if you can tell me ...
Re: [julia-users] Identify bounds error
Julia code run in global scope is generally slower, and gets worse backtraces and line numbers. If you just add function main() [your code] end main() around your code, that should solve some problems. (note that using statements must be outside the function definition) kl. 15:44:18 UTC+1 mandag 3. november 2014 skrev Nils Gudat følgende: Sorry, I don't think I understand your suggestion. What exactly should I put into a function?
Re: [julia-users] using filter function
Or you can use an anonymous function
julia filter(x-x!=0, A)
4-element Array{Int64,1}:
1
2
4
5
the `do` syntax is exactly equivalent, but more convenient when you have a
longer function body
julia filter(A) do x
x != 0
end
4-element Array{Int64,1}:
1
2
4
5
Regards Ivar
kl. 16:18:05 UTC+1 mandag 3. november 2014 skrev João Felipe Santos
følgende:
You just need to write a function that returns false for the elements you
want to filter out. Here’s an example that does what you want:
julia myfilter(x) = x != 0
myfilter (generic function with 1 method)
julia A = [1, 2, 0, 4, 5, 0]
6-element Array{Int64,1}:
1
2
0
4
5
0
julia filter(myfilter, A)
4-element Array{Int64,1}:
1
2
4
5
On Nov 3, 2014, at 10:15 AM, Zahirul ALAM zahiru...@gmail.com
javascript: wrote:
The documentation says:
filter(function, collection)
Return a copy of collection, removing elements for which function is
false. For associative collections,
the function is passed two arguments (key and value).
how to write the fucntion? I am trying to get elements which are
nonzero. Any Help is much appreciated!
[julia-users] Cairo - PDF
This is my Hello world for Cairo in Julia outputting to PNG: using Cairo imwidth = 200 imheight = 200 c = CairoRGBSurface(imwidth,imheight) cr = CairoContext(c) set_source_rgba(cr, 1, 0.7, 0.2, 0.9) set_line_width(cr, 1) circle(cr, 100, 100, 50) stroke(cr) select_font_face (cr, Helvetica, Cairo.FONT_SLANT_NORMAL, Cairo.FONT_WEIGHT_NORMAL) set_font_size (cr, 12) move_to(cr, 100,100) show_text(cr,Hello world) write_to_png(c,/tmp/helloworld.png) run(`open /tmp/helloworld.png`) But I prefer to output to PDF. I've got as far as finding this: c = CairoPDFSurface(/tmp/helloworld.pdf, imwidth, imheight) but there's isn't a write_to_pdf() function (obviously?). But I can't get any output. Pkg.installed() gives: Cairo = v0.2.20 and I'm on version 0.3.0.
[julia-users] Re: using filter function
Thank You. Thank You. Thank You On Monday, 3 November 2014 10:15:09 UTC-5, Zahirul ALAM wrote: The documentation says: filter(function, collection) Return a copy of collection, removing elements for which function is false. For associative collections, the function is passed two arguments (key and value). how to write the fucntion? I am trying to get elements which are nonzero. Any Help is much appreciated!
[julia-users] Non-allocating sparse matrix-vector product
If I understand correctly, operations such as `v = A*v`, where A is a dense matrix and v is a vector, create temporaries and allocate memory; if one wishes to do the computation in place without allocation, the only solution is using directly `gemv!`. What if `A` is a sparse matrix? Is there an in-place alternative to `v = A*v`? Thanks, --federico
Re: [julia-users] Identify bounds error
Wow, this is great! While I knew about the fact that wrapping things in functions is beneficial, I would have never thought of doing that to my entire code. I thought I had read quite a bit about Julia in the docs, but this had evaded me. Thanks!
Re: [julia-users] Non-allocating sparse matrix-vector product
In general, you cannot do an in place matrix multiplication of the form x=Ax. This is only possible if A has special structure such as e.g. triangular, Toeplitz or orthogonal. However, you can do a y = A*x + y, which is what gemv does. For sparse matrices this is achievable with A_mul_B!, i.e. A = sprandn(10, 10, 0.3); x = randn(10); y = Array(Float64, 10); A_mul_B!(y, A, x) Med venlig hilsen Andreas Noack 2014-11-03 8:58 GMT-05:00 federico.pol...@unipi.it: If I understand correctly, operations such as `v = A*v`, where A is a dense matrix and v is a vector, create temporaries and allocate memory; if one wishes to do the computation in place without allocation, the only solution is using directly `gemv!`. What if `A` is a sparse matrix? Is there an in-place alternative to `v = A*v`? Thanks, --federico
[julia-users] installing julia stable on ubuntu 14.10?
I recently upgraded to Xubuntu 14.10. On 14.04 I was using the PPA (ppa:staticfloat/juliareleases) to install Julia 0.3.2. Upon upgrading to Ubuntu 14.10, there seem to be some dependency issues. In particular, the julia package depends on libcholmod1.7.1 and libumfpack5.4.0. Instead I can only find libumfpack2.1.2 and libumfpack5.6.2. Currently I've installed julia by downloading the .deb and using dpkg --force-all -i, but this screws up the dependencies in my package manager and is not the best solution. Is anyone else using 14.10 with Julia?
[julia-users] Determining current memory usage
Is there a way to determine the current memory usage for individual variables in the current run time? Across julia processes? For example, I'm running 32 julia processes (one for each core) on a machine with 250GB of memory. Top shows 160GB of memory allocated. I know for a fact I'm not using that much, but I do need to know how much I actually have available. E.g. how much has been allocated by julia and how much it's actually using.
[julia-users] Re: Julia looking for old gfortran after upgrade
Sometimes you have to recompile linked deps when the lib path changes in upgrade. For example: % brew reinstall qrupdate the stack error should provide hints on which one. On Saturday, November 1, 2014 5:06:12 PM UTC-7, Sean Garborg wrote: I upgraded OSX from Mavericks to Yosemite and ran 'brew upgrade' which brought a new version of gcc and friends. I'm not sure which action was to blame, but Julia kept looking for '/usr/local/lib/gcc/x86_64-apple-darwin13.x.x/4.8.x/libgfortran.3.dylib' (old versions of Darwin and gcc). 'make cleanall' didn't help. I'm fine after cloning Julia anew, but that's slow. For future reference, is there a quicker way?
Re: [julia-users] Re: Julia looking for old gfortran after upgrade
Specifically, you need to clean out arpack, suite-sparse, and openblas. These guys use gfortran, which embeds absolute paths to libgfortran. You need to do this every time the gcc version changes. -E On Mon, Nov 3, 2014 at 11:23 AM, James Kyle li...@jameskyle.org wrote: Sometimes you have to recompile linked deps when the lib path changes in upgrade. For example: % brew reinstall qrupdate the stack error should provide hints on which one. On Saturday, November 1, 2014 5:06:12 PM UTC-7, Sean Garborg wrote: I upgraded OSX from Mavericks to Yosemite and ran 'brew upgrade' which brought a new version of gcc and friends. I'm not sure which action was to blame, but Julia kept looking for '/usr/local/lib/gcc/x86_64- apple-darwin13.x.x/4.8.x/libgfortran.3.dylib' (old versions of Darwin and gcc). 'make cleanall' didn't help. I'm fine after cloning Julia anew, but that's slow. For future reference, is there a quicker way?
[julia-users] Re: Getting Julia to emit an unrolled inner loop with SIMD instructions
On Sunday, 2 November 2014 22:27:28 UTC+1, Gunnar Farnebäck wrote:
It might be possible to get further doing llvmcall with LLVM inline
assembly but my feeble attempts at that have only resulted in crashes
(well, sort of, getting dumped back to shell prompt without ceremony).
Getting good load/store instructions by default would be a lot better of
course but I would still be interested in knowing whether llvmcall with
inline assembly can be made to work, in order to access a wider range of
SIMD instructions.
Yes, I agree on both.
I managed at least to generate the right kind of instructions with e.g.
julia typealias Uint64x2 NTuple{2, Uint64}
(Uint64,Uint64)
julia function innerloop5!(dest::Ptr{Uint64x2}, src::Ptr{Uint64x2})
Base.llvmcall(%s = load 2 x i64* %1, align 16
%d = load 2 x i64* %0, align 16
%ds = xor 2 x i64 %s, %d
store 2 x i64 %ds, 2 x i64* %0, align 16
ret void,
Void, (Ptr{Uint64x2}, Ptr{Uint64x2}),
dest, src)
end
innerloop5! (generic function with 1 method)
julia code_native(innerloop5!, (Ptr{Uint64x2}, Ptr{Uint64x2}))
which gives
.text
Filename: none
Source line: 2
pushRBP
movRBP, RSP
movapsXMM0, XMMWORD PTR [RSI]
xorps XMM0, XMMWORD PTR [RDI]
movapsXMMWORD PTR [RDI], XMM0
Source line: 2
popRBP
ret
But I haven't tried executing it yet :)
For more practical examples I'm getting massively bloat generated code
though, which seems to be at least in part due to e.g.
+(x::Ptr, y::Integer) = oftype(x, uint(uint(x) + y))
in base/pointer.jl: Since conversion between signed and unsigned now checks
for overflow, this will add a tax on all pointer arithmetic. I'm not sure
that there's any point to have checked pointer arithmetic, might see if I
can generate reasonable code for a bigger example if I make it unchecked.
Will post back if I get more results.
[julia-users] Re: Cairo - PDF
Maybe use the Julia wrapper for cairo_surface_flush? Am Montag, 3. November 2014 17:27:23 UTC+1 schrieb cormu...@mac.com: This is my Hello world for Cairo in Julia outputting to PNG: using Cairo imwidth = 200 imheight = 200 c = CairoRGBSurface(imwidth,imheight) cr = CairoContext(c) set_source_rgba(cr, 1, 0.7, 0.2, 0.9) set_line_width(cr, 1) circle(cr, 100, 100, 50) stroke(cr) select_font_face (cr, Helvetica, Cairo.FONT_SLANT_NORMAL, Cairo.FONT_WEIGHT_NORMAL) set_font_size (cr, 12) move_to(cr, 100,100) show_text(cr,Hello world) write_to_png(c,/tmp/helloworld.png) run(`open /tmp/helloworld.png`) But I prefer to output to PDF. I've got as far as finding this: c = CairoPDFSurface(/tmp/helloworld.pdf, imwidth, imheight) but there's isn't a write_to_pdf() function (obviously?). But I can't get any output. Pkg.installed() gives: Cairo = v0.2.20 and I'm on version 0.3.0.
[julia-users] Re: installing julia stable on ubuntu 14.10?
Did you add the PPA for julia-deps in addition to juliareleases? Elliot has versions of dependencies that are compatible with the Julia packages. On Monday, November 3, 2014 11:20:53 AM UTC-6, a. kramer wrote: I recently upgraded to Xubuntu 14.10. On 14.04 I was using the PPA (ppa:staticfloat/juliareleases) to install Julia 0.3.2. Upon upgrading to Ubuntu 14.10, there seem to be some dependency issues. In particular, the julia package depends on libcholmod1.7.1 and libumfpack5.4.0. Instead I can only find libumfpack2.1.2 and libumfpack5.6.2. Currently I've installed julia by downloading the .deb and using dpkg --force-all -i, but this screws up the dependencies in my package manager and is not the best solution. Is anyone else using 14.10 with Julia?
[julia-users] Re: installing julia stable on ubuntu 14.10?
Sorry, I forgot to mention, yes, I have julia-deps added as well. On Monday, November 3, 2014 4:22:11 PM UTC-5, Douglas Bates wrote: Did you add the PPA for julia-deps in addition to juliareleases? Elliot has versions of dependencies that are compatible with the Julia packages. On Monday, November 3, 2014 11:20:53 AM UTC-6, a. kramer wrote: I recently upgraded to Xubuntu 14.10. On 14.04 I was using the PPA (ppa:staticfloat/juliareleases) to install Julia 0.3.2. Upon upgrading to Ubuntu 14.10, there seem to be some dependency issues. In particular, the julia package depends on libcholmod1.7.1 and libumfpack5.4.0. Instead I can only find libumfpack2.1.2 and libumfpack5.6.2. Currently I've installed julia by downloading the .deb and using dpkg --force-all -i, but this screws up the dependencies in my package manager and is not the best solution. Is anyone else using 14.10 with Julia?
Re: [julia-users] Re: installing julia stable on ubuntu 14.10?
I think this is because the actual package names changed between Ubuntu 14.04 and 14.10. I've added a suite-sparse package of the proper version to the 14.10 PPA, can you please `apt-get update` and try again? On Mon, Nov 3, 2014 at 1:22 PM, Douglas Bates dmba...@gmail.com wrote: Did you add the PPA for julia-deps in addition to juliareleases? Elliot has versions of dependencies that are compatible with the Julia packages. On Monday, November 3, 2014 11:20:53 AM UTC-6, a. kramer wrote: I recently upgraded to Xubuntu 14.10. On 14.04 I was using the PPA (ppa:staticfloat/juliareleases) to install Julia 0.3.2. Upon upgrading to Ubuntu 14.10, there seem to be some dependency issues. In particular, the julia package depends on libcholmod1.7.1 and libumfpack5.4.0. Instead I can only find libumfpack2.1.2 and libumfpack5.6.2. Currently I've installed julia by downloading the .deb and using dpkg --force-all -i, but this screws up the dependencies in my package manager and is not the best solution. Is anyone else using 14.10 with Julia?
Re: [julia-users] Re: installing julia stable on ubuntu 14.10?
Just updated -- looks like the dependency issues have been resolved. Thanks for maintaining the PPA! On Monday, November 3, 2014 4:42:25 PM UTC-5, Elliot Saba wrote: I think this is because the actual package names changed between Ubuntu 14.04 and 14.10. I've added a suite-sparse package of the proper version to the 14.10 PPA, can you please `apt-get update` and try again? On Mon, Nov 3, 2014 at 1:22 PM, Douglas Bates dmb...@gmail.com javascript: wrote: Did you add the PPA for julia-deps in addition to juliareleases? Elliot has versions of dependencies that are compatible with the Julia packages. On Monday, November 3, 2014 11:20:53 AM UTC-6, a. kramer wrote: I recently upgraded to Xubuntu 14.10. On 14.04 I was using the PPA (ppa:staticfloat/juliareleases) to install Julia 0.3.2. Upon upgrading to Ubuntu 14.10, there seem to be some dependency issues. In particular, the julia package depends on libcholmod1.7.1 and libumfpack5.4.0. Instead I can only find libumfpack2.1.2 and libumfpack5.6.2. Currently I've installed julia by downloading the .deb and using dpkg --force-all -i, but this screws up the dependencies in my package manager and is not the best solution. Is anyone else using 14.10 with Julia?
Re: [julia-users] Fully Typed Function As Argument Type
Nooo TT I was looking for it too today. Hope it gets added soon, fingers crossed! On Thursday, August 14, 2014 10:31:17 AM UTC-4, John Myles White wrote: Not possible in the current versions of Julia. Maybe one day. There are bunch of us who’d like to have this functionality, but it’s a non-trivial addition of complexity to the compiler. — John On Aug 14, 2014, at 4:59 AM, Chris Kellendonk chriske...@gmail.com javascript: wrote: I'm new to the language so I may have missed something. But is there a way to make sure a function passed as an argument is of a specific type including it's arguments? It doesn't look like from the design of the language this could be supported but I'm curious. For example I would like to be able to do: function callme(handler::Function(Int32, Float64)) handler(12, 0.2) end And the compiler would guarantee the correct type of function is called. Thanks,
Re: [julia-users] Re: installing julia stable on ubuntu 14.10?
Great, glad it worked! -E On Mon, Nov 3, 2014 at 1:53 PM, a. kramer ak168...@gmail.com wrote: Just updated -- looks like the dependency issues have been resolved. Thanks for maintaining the PPA! On Monday, November 3, 2014 4:42:25 PM UTC-5, Elliot Saba wrote: I think this is because the actual package names changed between Ubuntu 14.04 and 14.10. I've added a suite-sparse package of the proper version to the 14.10 PPA, can you please `apt-get update` and try again? On Mon, Nov 3, 2014 at 1:22 PM, Douglas Bates dmb...@gmail.com wrote: Did you add the PPA for julia-deps in addition to juliareleases? Elliot has versions of dependencies that are compatible with the Julia packages. On Monday, November 3, 2014 11:20:53 AM UTC-6, a. kramer wrote: I recently upgraded to Xubuntu 14.10. On 14.04 I was using the PPA (ppa:staticfloat/juliareleases) to install Julia 0.3.2. Upon upgrading to Ubuntu 14.10, there seem to be some dependency issues. In particular, the julia package depends on libcholmod1.7.1 and libumfpack5.4.0. Instead I can only find libumfpack2.1.2 and libumfpack5.6.2. Currently I've installed julia by downloading the .deb and using dpkg --force-all -i, but this screws up the dependencies in my package manager and is not the best solution. Is anyone else using 14.10 with Julia?
[julia-users] type confusions in list comprehensions (and how to work around it?)
Consider the following interaction:
julia g(x) = 1 / (1 + x)
g (generic function with 1 method)
julia typeof(g(1.0))
Float64
julia xs = [1.0, 2.0, 3.0, 4.0]
4-element Array{Float64,1}:
1.0
2.0
3.0
4.0
julia gxs1 = [g(x) for x in xs]
4-element Array{Any,1}:
0.5
0.33
0.25
0.2
Why isn't gxs1 type of Array{Float64,1}?
How could I force the type of gxs1 to be of an array of Float64?
julia gxs2 = [convert(Float64,g(x)) for x in xs]
4-element Array{Any,1}:
0.5
0.33
0.25
0.2
somehow this doesn't seem to work...
[julia-users] Is there something similar to IPython's Audio display in IJulia?
Hi, I would like to add an HTML5 audio player to my IJulia notebooks, similarly to what is done in IPython notebooks. In IPython notebooks, there’s two possibilities: you can either pass the path to an audio file (which is easy) or a Numpy array (rendered as data:audio/wav;base64 straight into the HTML file). Is there something similar in IJulia already? If negative, where can I find more info on how to add this to IJulia? Cheers, João
Re: [julia-users] type confusions in list comprehensions (and how to work around it?)
How could I force the type of gxs1 to be of an array of Float64?
The simplest way is:
gxs1 = Float64[g(x) for x in xs]
-- mb
On Mon, Nov 3, 2014 at 6:01 PM, Evan Pu evanthebou...@gmail.com wrote:
Consider the following interaction:
julia g(x) = 1 / (1 + x)
g (generic function with 1 method)
julia typeof(g(1.0))
Float64
julia xs = [1.0, 2.0, 3.0, 4.0]
4-element Array{Float64,1}:
1.0
2.0
3.0
4.0
julia gxs1 = [g(x) for x in xs]
4-element Array{Any,1}:
0.5
0.33
0.25
0.2
Why isn't gxs1 type of Array{Float64,1}?
How could I force the type of gxs1 to be of an array of Float64?
julia gxs2 = [convert(Float64,g(x)) for x in xs]
4-element Array{Any,1}:
0.5
0.33
0.25
0.2
somehow this doesn't seem to work...
[julia-users] inv(::Symmetric), slow
Hello, I am struggling with the fact that covariance matrices computed from a precision matrix aren't positive definite, according to `isposdef()` (they should be according to the maths). It looks like the culprit is `inv(pd::Matrix)` which does not always result in a positive definite matrix if `pd` is one. This is probably because `inv()` is agnostic of the fact that the argument is positive definite, and numerical details. Now I've tried to understand the support for special matrices, and I believe that `inv(factorize(Hermitian(pd)))` is the proper way to do this. Indeed the resulting matrix is positive definite. However, this computation takes a lot longer than inv(), about 5--6 times as slow. I would have expected that the extra symmetry would lead to a more efficient matrix inversion. Is there something I'm doing wrong? Cheers, ---david
[julia-users] What's the relationship between a function and an anonymous function?
They seem have similar code.
eg:
function fun(x::Int)
x
end
function fun(x)
x
end
fun.env.defs.func.code
AST(:($(Expr(:lambda, {:x}, {{},{{:x,:Any,0}},{}}, :(begin
return
end)
func2 = (x) - x
func2.code
AST(:($(Expr(:lambda, {:(x::Any)}, {{},{{:x,:Any,0}},{}}, :(begin #
none, line 1:
return x
end)
And function has sig(signature?)
fun.env.defs.sig
(Any,)
I guess, a function has one name and many defs(definition?). And Julia will
do dispatch base on the sig.
Is it right? Please correct me, if I made any mistakes. Please tell me more
about Julia function!
But how Julia do dispatch base on the sig? Where is the function code
in Julia source code?
[julia-users] Re: Is there something similar to IPython's Audio display in IJulia?
Just in case it may be useful for anyone else, I ended up implementing this straight in Julia (code here: https://gist.github.com/jfsantos/a39ed69a7894876f1e04 https://gist.github.com/jfsantos/a39ed69a7894876f1e04). I posted this to IJulia’s issue tracker in case the developers are interested in adding it to the module. Cheers, João On Nov 3, 2014, at 6:04 PM, João Felipe Santos joao@gmail.com wrote: Hi, I would like to add an HTML5 audio player to my IJulia notebooks, similarly to what is done in IPython notebooks. In IPython notebooks, there’s two possibilities: you can either pass the path to an audio file (which is easy) or a Numpy array (rendered as data:audio/wav;base64 straight into the HTML file). Is there something similar in IJulia already? If negative, where can I find more info on how to add this to IJulia? Cheers, João
Re: [julia-users] type confusions in list comprehensions (and how to work around it?)
I found that I often have to force this conversion, which is not too
difficult. The question why comprehension has to build with type Any?
On 2014年11月04日 07:06, Miguel Bazdresch wrote:
How could I force the type of gxs1 to be of an array of Float64?
The simplest way is:
gxs1 = Float64[g(x) for x in xs]
-- mb
On Mon, Nov 3, 2014 at 6:01 PM, Evan Pu evanthebou...@gmail.com
mailto:evanthebou...@gmail.com wrote:
Consider the following interaction:
julia g(x) = 1 / (1 + x)
g (generic function with 1 method)
julia typeof(g(1.0))
Float64
julia xs = [1.0, 2.0, 3.0, 4.0]
4-element Array{Float64,1}:
1.0
2.0
3.0
4.0
julia gxs1 = [g(x) for x in xs]
4-element Array{Any,1}:
0.5
0.33
0.25
0.2
Why isn't gxs1 type of Array{Float64,1}?
How could I force the type of gxs1 to be of an array of Float64?
julia gxs2 = [convert(Float64,g(x)) for x in xs]
4-element Array{Any,1}:
0.5
0.33
0.25
0.2
somehow this doesn't seem to work...
Re: [julia-users] What's the relationship between a function and an anonymous function?
I guess, a function has one name and many defs(definition?). And Julia
will do dispatch base on the sig.
Correct. See the Functions and Methods sections of the manual. Beyond that,
for a nice overview of multiple dispatch (and some consequences), see:
http://nbviewer.ipython.org/gist/StefanKarpinski/b8fe9dbb36c1427b9f22
For some lower-level details, I would suggest to start with Jeff's talk
from JuliaCon:
https://www.youtube.com/watch?v=osdeT-tWjzklist=PLP8iPy9hna6TSRouJfvobfxkZFYiPSvPdindex=10
(some other videos linked here: http://julialang.org/learning/)
On Mon, Nov 3, 2014 at 6:59 PM, yfrac...@gmail.com wrote:
They seem have similar code.
eg:
function fun(x::Int)
x
end
function fun(x)
x
end
fun.env.defs.func.code
AST(:($(Expr(:lambda, {:x}, {{},{{:x,:Any,0}},{}}, :(begin
return
end)
func2 = (x) - x
func2.code
AST(:($(Expr(:lambda, {:(x::Any)}, {{},{{:x,:Any,0}},{}}, :(begin #
none, line 1:
return x
end)
And function has sig(signature?)
fun.env.defs.sig
(Any,)
I guess, a function has one name and many defs(definition?). And Julia
will do dispatch base on the sig.
Is it right? Please correct me, if I made any mistakes. Please tell me
more about Julia function!
But how Julia do dispatch base on the sig? Where is the function code
in Julia source code?
Re: [julia-users] What's the relationship between a function and an anonymous function?
Thank you! :)
Isaiah於 2014年11月4日星期二UTC+8上午11時16分20秒寫道：
I guess, a function has one name and many defs(definition?). And Julia
will do dispatch base on the sig.
Correct. See the Functions and Methods sections of the manual. Beyond
that, for a nice overview of multiple dispatch (and some consequences), see:
http://nbviewer.ipython.org/gist/StefanKarpinski/b8fe9dbb36c1427b9f22
For some lower-level details, I would suggest to start with Jeff's talk
from JuliaCon:
https://www.youtube.com/watch?v=osdeT-tWjzklist=PLP8iPy9hna6TSRouJfvobfxkZFYiPSvPdindex=10
(some other videos linked here: http://julialang.org/learning/)
On Mon, Nov 3, 2014 at 6:59 PM, yfra...@gmail.com javascript: wrote:
They seem have similar code.
eg:
function fun(x::Int)
x
end
function fun(x)
x
end
fun.env.defs.func.code
AST(:($(Expr(:lambda, {:x}, {{},{{:x,:Any,0}},{}}, :(begin
return
end)
func2 = (x) - x
func2.code
AST(:($(Expr(:lambda, {:(x::Any)}, {{},{{:x,:Any,0}},{}}, :(begin #
none, line 1:
return x
end)
And function has sig(signature?)
fun.env.defs.sig
(Any,)
I guess, a function has one name and many defs(definition?). And Julia
will do dispatch base on the sig.
Is it right? Please correct me, if I made any mistakes. Please tell me
more about Julia function!
But how Julia do dispatch base on the sig? Where is the function code
in Julia source code?
Re: [julia-users] type confusions in list comprehensions (and how to work around it?)
This only happens in global scope, not inside a function? If you define
f(list) = return [g(x) for x in list]
then f(xs) will return an Array{Float64,1}.
Op dinsdag 4 november 2014 03:23:36 UTC+1 schreef K leo:
I found that I often have to force this conversion, which is not too
difficult. The question why comprehension has to build with type Any?
On 2014年11月04日 07:06, Miguel Bazdresch wrote:
How could I force the type of gxs1 to be of an array of Float64?
The simplest way is:
gxs1 = Float64[g(x) for x in xs]
-- mb
On Mon, Nov 3, 2014 at 6:01 PM, Evan Pu evanth...@gmail.com
javascript:
mailto:evanth...@gmail.com javascript: wrote:
Consider the following interaction:
julia g(x) = 1 / (1 + x)
g (generic function with 1 method)
julia typeof(g(1.0))
Float64
julia xs = [1.0, 2.0, 3.0, 4.0]
4-element Array{Float64,1}:
1.0
2.0
3.0
4.0
julia gxs1 = [g(x) for x in xs]
4-element Array{Any,1}:
0.5
0.33
0.25
0.2
Why isn't gxs1 type of Array{Float64,1}?
How could I force the type of gxs1 to be of an array of Float64?
julia gxs2 = [convert(Float64,g(x)) for x in xs]
4-element Array{Any,1}:
0.5
0.33
0.25
0.2
somehow this doesn't seem to work...
[julia-users] Re: Cairo - PDF
Thanks Tobias! Your clue led me to the point in the source where it goes:
for name in (:finish,:flush,:mark_dirty)
@eval begin
$name(surface::CairoSurface) =
ccall(($(string(cairo_surface_,name)),_jl_libcairo),
Void, (Ptr{Void},), surface.ptr)
end
end
and finish(surface) appears to work well:
c = CairoPDFSurface(/tmp/helloworld.pdf,imwidth,imheight)
cr = CairoContext(c)
...
...
finish(c)
On Monday, November 3, 2014 9:03:10 PM UTC, Tobias Knopp wrote:
Maybe use the Julia wrapper for cairo_surface_flush?
Am Montag, 3. November 2014 17:27:23 UTC+1 schrieb cormu...@mac.com:
This is my Hello world for Cairo in Julia outputting to PNG:
using Cairo
imwidth = 200
imheight = 200
c = CairoRGBSurface(imwidth,imheight)
cr = CairoContext(c)
set_source_rgba(cr, 1, 0.7, 0.2, 0.9)
set_line_width(cr, 1)
circle(cr, 100, 100, 50)
stroke(cr)
select_font_face (cr, Helvetica, Cairo.FONT_SLANT_NORMAL,
Cairo.FONT_WEIGHT_NORMAL)
set_font_size (cr, 12)
move_to(cr, 100,100)
show_text(cr,Hello world)
write_to_png(c,/tmp/helloworld.png)
run(`open /tmp/helloworld.png`)
But I prefer to output to PDF. I've got as far as finding this:
c = CairoPDFSurface(/tmp/helloworld.pdf, imwidth, imheight)
but there's isn't a write_to_pdf() function (obviously?). But I can't get
any output.
Pkg.installed() gives:
Cairo = v0.2.20
and I'm on version 0.3.0.
