I just installed Julia on a MacBook Pro running OSX 10.0.3 (I am new to
OSX). Installed Julia in the Applications folder. But for the packages
that I have been using on Ubuntu, I copied the whole directory ~/.julia
from Ubuntu to the Mac. Then I did a Pkg.build() in Julia. Things seem OK
type Tech
cl::Array{Float64,1}
function Tech()
this = new()
this.cl=[1:4]
this
end
end
tech = Tech()
How can I check if tech.asf is not a valid field?
I hope to be able to easily plot some variables or formula based on a
combination of variables. Typing in the ones at run time seems very
convenient.
On Wednesday, May 13, 2015, Yichao Yu yyc1...@gmail.com wrote:
On Tue, May 12, 2015 at 5:21 PM, K leo cnbiz...@gmail.com javascript:;
wrote
In this test case yes, but my intention is to input that string (tech.cl
in this test case) at run time, so in the real case, no.
On Tuesday, May 12, 2015, Yichao Yu yyc1...@gmail.com wrote:
Can't you just use `y1 = tech.cl` here?
(2015-04-30 23:40 UTC)
_/ |\__'_|_|_|\__'_| | Official http://julialang.org release
|__/ | x86_64-linux-gnu
On Sunday, May 10, 2015, K leo cnbiz...@gmail.com wrote:
I try read in a variable at run time and use include_string to assign it
to another variable, but I got errors
:50 PM, K leo cnbiz...@gmail.com
javascript:_e(%7B%7D,'cvml','cnbiz...@gmail.com'); wrote:
Is is broken, or is there something I did wrong?
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_)| Documentation: http://docs.julialang.org
I guess I found the problem, but don't know a solution.
The following test code (same as the previous one except that I put them in
a function) now produces the same problem as my real code.
type Tech
cl::Array{Float64,1}
cm::Array{Float64,1}
function Tech()
this = new()
I try read in a variable at run time and use include_string to assign it to
another variable, but I got errors.
Originally, the following code works:
y1 = tech.cl
But when I try to include from input with this code:
println(Input the variable)
tt=\n
I want the array to be initialized with every element being . Can't say
about 0.3.4, but it definitely worked under 0.3.3. Are there any other
easy ways for what I want?
On Friday, January 16, 2015, Milan Bouchet-Valat nalimi...@club.fr wrote:
Le vendredi 16 janvier 2015 à 14:29 +0800, K leo
julia A=zeros(UTF8String, 5)
ERROR: `zero` has no method matching zero(::Type{UTF8String})
in zeros at array.jl:169
This used to work, but with the new update it doesn't. Any idea?
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_)| Documentation:
I noticed that too, and initially it costed me quite some effort in finding
out what went wrong.
Is it possible for julia to warn at run time that there are multiple method
definitions?
On Tuesday, January 13, 2015, Petr Krysl krysl.p...@gmail.com wrote:
I have two nested modules, both of them
Seems an easy way is to input 1:10, read it in with realine, then split the
string and reconstruct the array.
Anyone would suggest more intelligent ways?
On Monday, January 12, 2015, K leo cnbiz...@gmail.com wrote:
Is there a way to input at STDIN an array? Suppose, I type in [1:10]
at STDIN
That is awesome, thank Peter.
On Monday, January 12, 2015, Peter Simon psimon0...@gmail.com wrote:
julia t = include_string([1:10])
10-element Array{Int64,1}:
1
2
3
4
5
6
7
8
9
10
On Sunday, January 11, 2015 at 8:49:43 PM UTC-8, K leo wrote:
Is there a way
Is there a way to input at STDIN an array? Suppose, I type in [1:10]
at STDIN I would like the program to assign A=[1:10].
Or, I know realine can take it as a string [1:10], so is there a way to
convert the string to an array? Somewhat similar to converting a string to
an Int?
Might be slightly off-topic, but closely related.
Does anyone find the logic to run a code first just to compile it and then
do the real run afterwards somewhat flawed, or am I missing anything?
Suppose I have a code that takes a day to finish after being compiled. So
the first run (since it is
At times I don't want to output anything, so I pass a null IOStream to a
function that requires an IOStream. How to do that?
redirection
right now:
|
julia run(`echo Hello` | DevNull)
julia print(DevNull, Hello)
ERROR: type DevNullStream has no field status
in isopen at stream.jl:286
in check_open at stream.jl:293
in write at stream.jl:730
in print at ascii.jl:93
|
On Sunday, December 7, 2014 7:24:53 PM UTC-5, K leo
in my case it works perfectly.
_
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_)| Documentation: http://docs.julialang.org
_ _ _| |_ __ _ | Type help() for help.
| | | | | | |/ _` | |
| | |_| | | | (_| | | Version 0.3.3
I also found it very resource hungry. I have 7 tabs open. When the
cursor is not in it it uses about 20% of CPU (on one core I think).
When the cursor is in it, it uses about 50% of CPU. In total it uses
600MB of memory. Not sure what is wrong?
On 2014年11月29日 21:32, J Luis wrote:
I once
I remember somewhere it mentioned that there is a performance reason not
to have things like Array{Float64} : Array{FloatingPoint}. Does this
mean the parametric types (defined with T) are slower?
On 2014年11月30日 05:04, Andreas Noack wrote:
You are welcome. It is explained better than I'm able
Just tried Atom. It appears very good, but I am not sure what
advantages it has over Kate which is what I have been using?
On 2014年11月29日 00:54, Pileas wrote:
I use Atom. It resembles so much with Sublime (maybe the same people
work there).
I tried Light Table. It is faster when it opens
I ran into similar mental difficulty regarding whether type Any is a
superset of any other types. I did not find anything to read, but
simply accepted the fact through painstaking experiments.
I think the word Any here is confusing. The English definition of it
means that it ought to
a prerequisites section
that lists all of the concepts that readers are assumed to already
understand.
-- John
On Nov 26, 2014, at 7:27 PM, K Leo cnbi...@gmail.com
javascript: wrote:
I ran into similar mental difficulty regarding whether type Any
is a superset of any other
results = search(Julia)
for result in results
if contains(result, program)
println(result)
end
end
On 2014年11月25日 15:40, Francesco Bonazzi wrote:
The problem with the name Julia is that you find a lot of other stuff unrelated
to programming when you look on Google.
I have a bunch of functions with same signature. I would like to invoke
them one by one at run time. What is the best way of doing this? Can I
put them all in an array or some other collection and loop through it at
the run time?
Very likely Julia was a significant person in that someone's mind.
Perhaps we should find out who she was.
On 2014年11月25日 06:28, Isaiah Norton wrote:
Alan Edelman told me specifically that it was not named after the
fractal, and in fact that Julia doesn't refer to anything in
julia 2*10.97 + 23.9985
45.9385005
julia 2*10.97 + 23.9985 == 45.9385005
true
Amazing. I never expected this. Is floating point comparison going to
be guaranteed?
On 2014年11月05日 08:48, Stefan Karpinski wrote:
Some systems round their answers as John said but it's easy to
AM, K Leo cnbiz...@gmail.com
mailto:cnbiz...@gmail.com wrote:
julia 2*10.97 + 23.9985
45.9385005
julia 2*10.97 + 23.9985 == 45.9385005
true
Amazing. I never expected this. Is floating point comparison
going to be guaranteed?
What's shocking about
pw=plot()
oplot(x1, copy(z1), r)
oplot(x1, copy(z2), g)
display(pw)
On 2014年11月05日 13:34, yaoismyh...@gmail.com wrote:
Just getting into plotting data in Julia today. Gravitating towards
Winston because of the similarity of its syntax to that of Matplotlib.
Anyhow, I did have a question about
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
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 =
I have a sparse array (roughly 1/5 filled say). If I simply loop
through it, it is about 10 times slower than if I loop through only the
nonzero elements. Compare the following codes, the first is 10 times
slower, even with the multiplications.
=
for i=1:length(A)
if
. oktober 2014 skrev K leo følgende:
I have a sparse array (roughly 1/5 filled say). If I simply loop
through it, it is about 10 times slower than if I loop through
only the
nonzero elements. Compare the following codes, the first is 10 times
slower, even
Actually, when taking my second approach, my entire code (not just this
demo part) is 10 times faster. Of course, this part in within the most
inner loop.
On 2014年10月17日 14:35, K Leo wrote:
My codes are actually within a function. They are not in global scope.
On 2014年10月17日 14:32, Ivar
(A)[1]
for i=1:length(iA)
val += (A[iA[i]] - s) * (x + y)
end
=
On 2014年10月17日 14:21, K Leo wrote:
I have a sparse array (roughly 1/5 filled say). If I simply loop
through it, it is about 10 times slower than if I loop through only
the nonzero elements. Compare the following codes
Many thanks Mauro for the explanation and guide.
If I use the efficient iteration, is there a way to get the index of the
nonzero element, i.e. the i of A[i] when A[i] is nonzero?
On 2014年10月17日 15:03, Mauro wrote:
However, if you just need to iterate over the non-zero values, it can
be done
Just checked the sparse matrix section of the Julia manual. My question
is whether what you explained only applies to actually declared sparse
matrix? In my case, the A is not declared as a sparse matrix even
though it has a lot of zeros in it - issparse(A) returns false.
On 2014年10月17日
I need to permute the indexes of an array, so I found function randperm
very convenient. But it turns out very slow. The following test shows
time increased 60 times. Is there an alternative to permute an array?
-
tic()
f=0.
A=[1:100]
for i=1:1000
f += A[20]
end
toc()
, an array access, and a sum take about 70
times longer than an array access and a sum by themselves. Seems
reasonable to me...
Kevin
On Thursday, October 16, 2014, K Leo cnbiz...@gmail.com
mailto:cnbiz...@gmail.com wrote:
I need to permute the indexes of an array, so I found function
It does not remove the target file first, but simply writes content on
top of it and keeps the remaining contents. Look at the following
example on Xubuntu 14.04:
$ more test1.txt
asdasfd
sfasf
asdad
sdsdg gsdg
$ more test2.txt
dfs
sdfs
sdffsdfsgs sdgsgsdgds gsdgs
sdgs sdgsdsdh
$ julia
_
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_)| Documentation: http://docs.julialang.org
_ _ _| |_ __ _ | Type help() for help.
| | | | | | |/ _` | |
| | |_| | | | (_| | | Version 0.3.1 (2014-09-21 21:30 UTC)
_/
package is recommended.
On 2014年10月10日 06:49, Patrick O'Leary wrote:
On Thursday, October 9, 2014 5:42:40 PM UTC-5, K leo wrote:
julia std(A, 10)
A only has elements along the first dimension. What behavior do you
expect here?
to read along the tenth dimension of the array.
You're trying to split the array into groups of ten elements, it
sounds like.
[std(A[10(n-1)+1:10n]) for n in 1:length(A)./10]
On Thursday, October 9, 2014 5:56:01 PM UTC-5, K leo wrote:
I am hoping to get the std's of every 10
On Xubuntu 14.04 64, it seems to work fine:
_
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_)| Documentation: http://docs.julialang.org
_ _ _| |_ __ _ | Type help() for help.
| | | | | | |/ _` | |
| | |_| | | | (_| | |
Hope to avoid the following:
julia s
ERROR: s not defined
I guess this may be simple, but I don't know where to find.
for the wonderful achievement with Mangalyaan!
With a budget less than a Hollywood movie, I bet they must have largely
used (and supported?) open sources - Julia included?
example code. It seems like you are printing Float32 and
Float16 values, and they intentionally print differently from the
normal Float64 values.
Ivar
kl. 07:42:01 UTC+2 tirsdag 23. september 2014 skrev K leo følgende:
A number like these messes up DataFrames, which considers
Removed the binary update and compiled julia from the 0.3.0+6 source.
Things become usual.
On 2014年09月23日 18:55, K Leo wrote:
Sorry for double posting.
There is nothing special with the print statement. It has been simply:
println(file, A, ,, B, ,, C)
And with that I usually got
Just updated to reportedly 0.3.1 but displayed as 0.4.0-dev+543.
println to file now get something like the following. Is this
intended? How can I get normal decimals?
162038.8f0,float16(160.2),0.26118204f0
_
_ _ _(_)_ | A fresh approach to technical computing
A number like these messes up DataFrames, which considers it as a string
which then can not be easily converted to a float. Any advice on what
to do?
On 2014年09月23日 09:31, K Leo wrote:
Just updated to reportedly 0.3.1 but displayed as 0.4.0-dev+543.
println to file now get something like
Sometimes hist does not output the right number of elements. Why is this?
e, h = hist(c, 10)
println(e, , h)
-8.0:2.0:4.0 [1,6,76,805,193,2]
Say I have a 2-dimensional array B, I suppose it is an iterable, but how
do I construct s?
julia cl
485-element Array{Float64,1}:
4555.0
4601.0
4693.0
4678.0
⋮
5821.0
5854.0
5828.0
julia lagcl = [0, cl[1:end-1]]
485-element Array{Float64,1}:
0.0
4555.0
4601.0
4693.0
⋮
5842.0
5821.0
5854.0
Then thinking to make the types of elements to be the same, I changed
, August 26, 2014 3:14:54 PM UTC+2, K leo wrote:
julia cl
485-element Array{Float64,1}:
4555.0
4601.0
4693.0
4678.0
⋮
5821.0
5854.0
5828.0
julia lagcl = [0, cl[1:end-1]]
485-element Array{Float64,1}:
0.0
4555.0
What is wrong with the following?
julia A
4-element Array{Array{Int64,1},1}:
[-1,2,4]
[-1,2,7]
[-1,2,8]
[1,-2,10]
julia findin(A, A[3])
0-element Array{Int64,1}
Thanks for the response, but sorry, can you clarify what that formula means?
On 2014年08月23日 09:24, Tony Fong wrote:
Er, there is an almost-close-form solution no? Start with (n(odd))C(n/2+-2.5)
Tony
It is great now that we have 0.3 released. Thank you all very much!
A question on future updates.
In the past months, I have been using julia nightlies PPA to get the
most updated builds. Generally, it has been working well for me. The
nightlies have not caused big problems for my
A is a 1-dimensional array. I used to compute sum(abs(A)). But when I
changed to the following, the speed increased nearly 10 fold. Why is that?
sumA=0
for i=1:length(A)
sumA = sumA + abs(A[i])
end
What to do with the following? I am on Xubuntu 14.04 64bits.
==
_
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_)| Documentation: http://docs.julialang.org
_ _ _| |_ __ _ | Type help() for help.
= 1:size(x,1)])
1-element Array{Int64,1}:
1
Den torsdagen den 7:e augusti 2014 kl. 06:09:23 UTC+2 skrev K leo:
julia x
4x4 Array{Int64,2}:
1 5 9 13
2 6 10 14
3 7 11 15
4 8 12 16
julia in(x[1,:], x
julia x
4x4 Array{Int64,2}:
1 5 9 13
2 6 10 14
3 7 11 15
4 8 12 16
julia in(x[1,:], x)
false
julia x[1,:]
1x4 Array{Int64,2}:
1 5 9 13
How can I check if x[1,:] is in x easily? And with the row index in x?
Sorry, but really don't know what is going on. Today I had two sessions
of julia each running a program (single processing), then the machine
froze with no mouse and keyboard. This type of thing happened a few
times in the past though not every time I run 2 julia sessions. I don't
know how
are running out of RAM and your system is thrashing
http://en.wikipedia.org/wiki/Thrashing_%28computer_science%29.
On Thursday, July 31, 2014 3:06:31 AM UTC-4, K leo wrote:
Sorry, but really don't know what is going on. Today I had two
sessions
of julia each running a program (single
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