On Tuesday, 5 May 2020 at 20:07:54 UTC, RegeleIONESCU wrote:
[...]
Python should be ruled out, this is not its war :)
I have done benchmarks against NumPy if you are interested:
https://github.com/tastyminerals/mir_benchmarks
On Monday, 20 April 2020 at 02:50:29 UTC, 9il wrote:
On Monday, 20 April 2020 at 02:42:33 UTC, 9il wrote:
On Sunday, 19 April 2020 at 20:29:54 UTC, p.shkadzko wrote:
On Sunday, 19 April 2020 at 20:06:23 UTC, jmh530 wrote:
[...]
Thanks. I somehow missed the whole point of "a *
a.transposed"
On Sunday, 19 April 2020 at 21:27:43 UTC, jmh530 wrote:
On Sunday, 19 April 2020 at 20:29:54 UTC, p.shkadzko wrote:
[snip]
Thanks. I somehow missed the whole point of "a * a.transposed"
not working because "a.transposed" is not allocated.
a.transposed is just a view of the original matrix. E
On Sunday, 19 April 2020 at 20:06:23 UTC, jmh530 wrote:
On Sunday, 19 April 2020 at 19:20:28 UTC, p.shkadzko wrote:
[snip]
well no, "assumeContiguous" reverts the results of the
"transposed" and it's "a * a".
I would expect it to stay transposed as NumPy does "assert
np.all(np.ascontiguous(a.T
On Sunday, 19 April 2020 at 19:13:14 UTC, p.shkadzko wrote:
On Sunday, 19 April 2020 at 18:59:00 UTC, jmh530 wrote:
On Sunday, 19 April 2020 at 17:55:06 UTC, p.shkadzko wrote:
snip
So, lubeck mtimes is equivalent to NumPy
"a.dot(a.transpose())".
There are elementwise operation on two matric
On Sunday, 19 April 2020 at 18:59:00 UTC, jmh530 wrote:
On Sunday, 19 April 2020 at 17:55:06 UTC, p.shkadzko wrote:
snip
So, lubeck mtimes is equivalent to NumPy
"a.dot(a.transpose())".
There are elementwise operation on two matrices of the same
size and then there is matrix multiplication.
On Sunday, 19 April 2020 at 17:22:12 UTC, jmh530 wrote:
On Sunday, 19 April 2020 at 17:07:36 UTC, p.shkadzko wrote:
I'd like to calculate XX^T where X is some [m x n] matrix.
// create a 3 x 3 matrix
Slice!(double*, 2LU) a = [2.1, 1.0, 3.2, 4.5, 2.4, 3.3, 1.5,
0, 2.1].sliced(3, 3);
auto b = a
I'd like to calculate XX^T where X is some [m x n] matrix.
// create a 3 x 3 matrix
Slice!(double*, 2LU) a = [2.1, 1.0, 3.2, 4.5, 2.4, 3.3, 1.5, 0,
2.1].sliced(3, 3);
auto b = a * a.transposed; // error
Looks like it is not possible due to "incompatible types for (a)
* (transposed(a)): Slice!
On Wednesday, 15 April 2020 at 22:09:32 UTC, H. S. Teoh wrote:
On Wed, Apr 15, 2020 at 09:46:58PM +, p.shkadzko via
Digitalmars-d-learn wrote:
[...]
Are you sure the error is on the line you indicated? The error
message
claims that your argument types are (double[string], string,
string
I am quite confused by the following exception during dub build:
dub build --single demo.d --compiler=ldc2 --force
Performing "debug" build using ldc2 for x86_64.
demo ~master: building configuration "application"...
demo.d(221,20): Error: template object.get cannot deduce function
from argume
On Tuesday, 14 April 2020 at 20:05:28 UTC, Steven Schveighoffer
wrote:
On 4/14/20 3:34 PM, p.shkadzko wrote:
[...]
What about using dependency tsv-utils:common ?
Looks like tsv-utils is a collection of subpackages, and the
main package just serves as a namespace.
-Steve
Yes, it works! T
I need to use "bufferedByLine" function from "tsv-utilities"
package located:
https://github.com/eBay/tsv-utils/blob/master/common/src/tsv_utils/common/utils.d
I have the following dub config
/+ dub.sdl:
name "demo"
dependency "tsv-utils" version="~>1.6.0"
dflags-ldc "-mcpu=native"
On Sunday, 5 April 2020 at 18:58:17 UTC, p.shkadzko wrote:
On Saturday, 4 April 2020 at 09:25:14 UTC, Giovanni Di Maria
wrote:
[...]
Why not use "chunks" from std.range?
import std.range: chunks;
void main() {
int[] arr = [10,20,30,40,50,60,70,80,90,100,110,120];
auto matrix1 = arr.c
On Saturday, 4 April 2020 at 09:25:14 UTC, Giovanni Di Maria
wrote:
Hi.
Is there a Built-in function (no code, only a built-in function)
that transform a linear array to a Matrix?
For example:
From
[10,20,30,40,50,60,70,80,90,100,110,120];
To
[
[10,20,30],
[40,50,60],
[70,80,90],
[100,110,1
On Friday, 27 March 2020 at 13:10:00 UTC, jmh530 wrote:
On Friday, 27 March 2020 at 10:57:10 UTC, p.shkadzko wrote:
I decided to write a small blog post about multidimensional
arrays in D on what I learnt so far. It should serve as a
brief introduction to Mir slices and how to do basic
manipul
On Friday, 27 March 2020 at 11:19:06 UTC, WebFreak001 wrote:
On Friday, 27 March 2020 at 10:57:10 UTC, p.shkadzko wrote:
[...]
I don't really know mir myself, but for the start of the
content:
[...]
Ok, looks like I need to reread the slices topic. It always
confused me especially when i
I decided to write a small blog post about multidimensional
arrays in D on what I learnt so far. It should serve as a brief
introduction to Mir slices and how to do basic manipulations with
them. It started with a small file with snippets for personal use
but then kind of escalated into an idea
I need to reproduce numpy sort for 2D array.
--
import numpy as np
a = [[1, -1, 3, 2], [0, -2, 3, 1]]
b = np.sort(a)
b
# array([[-1, 1, 2, 3],
#[-2, 0, 1, 3]])
--
Numpy sorted the array by columns, which visually look
On Tuesday, 3 March 2020 at 10:25:27 UTC, maarten van damme wrote:
it is difficult to write an efficient matrix matrix
multiplication in any language. If you want a fair comparison,
implement your naive method in python and compare those timings.
Op di 3 mrt. 2020 om 04:20 schreef 9il via Digi
On Monday, 2 March 2020 at 20:56:50 UTC, jmh530 wrote:
On Monday, 2 March 2020 at 20:22:55 UTC, p.shkadzko wrote:
[snip]
Interesting growth of processing time. Could it be GC?
+--+-+
| matrixDotProduct | time (sec.) |
+--+-+
| 2x[100 x 10
On Sunday, 1 March 2020 at 20:58:42 UTC, p.shkadzko wrote:
Hello again,
Thanks to previous thread on multidimensional arrays, I managed
to play around with pure D matrix representations and even
benchmark a little against numpy:
[...]
Interesting growth of processing time. Could it be GC?
On Monday, 2 March 2020 at 15:00:56 UTC, jmh530 wrote:
On Monday, 2 March 2020 at 13:35:15 UTC, p.shkadzko wrote:
[snip]
Thanks. I don't have time right now to review this thoroughly.
My recollection is that the dot product of two matrices is
actually matrix multiplication, correct? It gener
On Monday, 2 March 2020 at 11:33:25 UTC, jmh530 wrote:
On Sunday, 1 March 2020 at 20:58:42 UTC, p.shkadzko wrote:
Hello again,
[snip]
What compiler did you use and what flags?
Ah yes, sorry. I used latest ldc2 (1.20.0-x64) for Windows.
Dflags -mcpu=native and "inline", "optimize", "release
Hello again,
Thanks to previous thread on multidimensional arrays, I managed
to play around with pure D matrix representations and even
benchmark a little against numpy:
+-++---+
| benchma
On Friday, 28 February 2020 at 16:51:10 UTC, AB wrote:
On Thursday, 27 February 2020 at 14:15:26 UTC, p.shkadzko wrote:
[...]
Your Example with a minimal 2D array.
module test2;
import std.random : Xorshift, unpredictableSeed, uniform;
import std.range : generate, take, chunks;
On Thursday, 27 February 2020 at 15:48:53 UTC, bachmeier wrote:
On Thursday, 27 February 2020 at 14:15:26 UTC, p.shkadzko wrote:
[...]
This works but it does not look very efficient considering we
flatten and then calling array twice. It will get even worse
with 3D arrays. Is there a better w
On Thursday, 27 February 2020 at 16:31:07 UTC, 9il wrote:
On Thursday, 27 February 2020 at 14:15:26 UTC, p.shkadzko wrote:
Is there a better way without relying on mir.ndslice?
ndslice Poker Face
/+dub.sdl:
dependency "mir-algorithm" version="~>3.7.17"
dependency "mir-random" version="~>2.2.1
On Thursday, 27 February 2020 at 14:15:26 UTC, p.shkadzko wrote:
This works but it does not look very efficient considering we
flatten and then calling array twice. It will get even worse
with 3D arrays.
And yes, benchmarks show that summing 2D arrays like in the
example above is significantl
I'd like to sum 2D arrays. Let's create 2 random 2D arrays and
sum them.
```
import std.random : Xorshift, unpredictableSeed, uniform;
import std.range : generate, take, chunks;
import std.array : array;
static T[][] rndMatrix(T)(T max, in int rows, in int cols)
{
Xorshift rnd;
rnd.seed
On Wednesday, 29 January 2020 at 08:56:26 UTC, rumbu wrote:
On Wednesday, 29 January 2020 at 08:40:48 UTC, p.shkadzko wrote:
Has anyone read "d programming language tutorial: A Step By
Step Appoach: Learn d programming language Fast"?
https://www.goodreads.com/book/show/38328553-d-programming-
Has anyone read "d programming language tutorial: A Step By Step
Appoach: Learn d programming language Fast"?
https://www.goodreads.com/book/show/38328553-d-programming-language-tutorial?from_search=true&qid=G9QIeXioOJ&rank=3
On Tuesday, 14 January 2020 at 20:14:30 UTC, p.shkadzko wrote:
On Tuesday, 14 January 2020 at 15:15:09 UTC, Rasmus Thomsen
wrote:
On Tuesday, 14 January 2020 at 09:54:18 UTC, p.shkadzko wrote:
On Monday, 13 January 2020 at 21:15:51 UTC, p.shkadzko wrote:
On Monday, 13 January 2020 at 20:53:43
On Tuesday, 14 January 2020 at 15:15:09 UTC, Rasmus Thomsen wrote:
On Tuesday, 14 January 2020 at 09:54:18 UTC, p.shkadzko wrote:
On Monday, 13 January 2020 at 21:15:51 UTC, p.shkadzko wrote:
On Monday, 13 January 2020 at 20:53:43 UTC, p.shkadzko wrote:
On Monday, 13 January 2020 at 19:56:35 U
On Tuesday, 14 January 2020 at 11:26:30 UTC, Andre Pany wrote:
On Tuesday, 14 January 2020 at 09:54:18 UTC, p.shkadzko wrote:
[...]
May I ask, whether you have tried to use Dub, or is s.th.
blocking
you from using Dub?
Kind regards
André
I tested dub and it fetched and compiled mir.ndslic
On Monday, 13 January 2020 at 21:15:51 UTC, p.shkadzko wrote:
On Monday, 13 January 2020 at 20:53:43 UTC, p.shkadzko wrote:
On Monday, 13 January 2020 at 19:56:35 UTC, p.shkadzko wrote:
On Monday, 13 January 2020 at 17:14:29 UTC, p.shkadzko wrote:
[...]
I had to set PKG_CONFIG_PATH to "/usr/
On Monday, 13 January 2020 at 20:53:43 UTC, p.shkadzko wrote:
On Monday, 13 January 2020 at 19:56:35 UTC, p.shkadzko wrote:
On Monday, 13 January 2020 at 17:14:29 UTC, p.shkadzko wrote:
[...]
I had to set PKG_CONFIG_PATH to "/usr/local/lib/pkgconfig".
For some reason Manjaro distro doesn't h
On Monday, 13 January 2020 at 19:56:35 UTC, p.shkadzko wrote:
On Monday, 13 January 2020 at 17:14:29 UTC, p.shkadzko wrote:
On Sunday, 12 January 2020 at 22:12:14 UTC, Rasmus Thomsen
wrote:
On Sunday, 12 January 2020 at 22:00:33 UTC, p.shkadzko wrote:
[...]
In difference to dub, meson will _
On Sunday, 12 January 2020 at 13:07:33 UTC, dnsmt wrote:
On Saturday, 11 January 2020 at 16:45:22 UTC, p.shkadzko wrote:
I am trying to run example code from
https://tour.dlang.org/tour/en/dub/lubeck
...
This is Linux Manjaro with openblas package installed.
The Lubeck library depends on CB
On Monday, 13 January 2020 at 17:14:29 UTC, p.shkadzko wrote:
On Sunday, 12 January 2020 at 22:12:14 UTC, Rasmus Thomsen
wrote:
On Sunday, 12 January 2020 at 22:00:33 UTC, p.shkadzko wrote:
[...]
In difference to dub, meson will _not_ auto-download required
software for you. You have to ways
On Sunday, 12 January 2020 at 22:12:14 UTC, Rasmus Thomsen wrote:
On Sunday, 12 January 2020 at 22:00:33 UTC, p.shkadzko wrote:
[...]
In difference to dub, meson will _not_ auto-download required
software for you. You have to ways to go forward with this:
[...]
I followed the 1 step, name
On Sunday, 12 January 2020 at 22:12:14 UTC, Rasmus Thomsen wrote:
On Sunday, 12 January 2020 at 22:00:33 UTC, p.shkadzko wrote:
[...]
In difference to dub, meson will _not_ auto-download required
software for you. You have to ways to go forward with this:
[...]
Thanks! I shall try it out.
On Sunday, 12 January 2020 at 22:12:14 UTC, Rasmus Thomsen wrote:
On Sunday, 12 January 2020 at 22:00:33 UTC, p.shkadzko wrote:
What do I need to do in order to build the project with
"lubeck" dependency in meson?
In difference to dub, meson will _not_ auto-download required
software for you.
Ok, I am trying to meson and is struggling with meson.build file.
I looked up the examples page:
https://github.com/mesonbuild/meson/tree/master/test%20cases/d
which has a lot of examples but not the one that shows you how to
build your project with some external dependency :)
Let's say we ha
I am trying to run example code from
https://tour.dlang.org/tour/en/dub/lubeck
example.d:
---
/+dub.sdl:
dependency "lubeck" version="~>1.1"
+/
import lubeck: mtimes;
import mir.algorithm.iteration: each;
import mir.ndslice;
import std.stdio: writeln;
void main()
{
auto n = 5;
// Magic
On Sunday, 29 December 2019 at 14:41:46 UTC, Russel Winder wrote:
The more the D community advertise that IDEs are for wimps, the
less likelihood that people will come to D usage.
It is so. And yet, I can't use Java or Scala without IDE and I
tried. I believe the same is true for C++.
On Sunday, 22 December 2019 at 17:20:51 UTC, BoQsc wrote:
There are lots of editors/IDE's that support D language:
https://wiki.dlang.org/Editors
What kind of editor/IDE are you using and which one do you like
the most?
Tried almost all of them that support D including Dlang IDE,
Dexed, Pos
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