BruJu

import java.util.ArrayList;
import java.util.List;
import fr.bruju.rmeventreader.utilitaire.Pair;
/**
 * Classe permettant de reconnaitre des chaînes avec le pattern suivant : Tous les symboles comptent
 * 
 * 
 * Lorsqu'un _ est lu, le reconnaisseur lit la valeur jusqu'à trouver le symbole aprés le _ Si un £ est lu, le
 * reconnaisseur arrête son travail et annonce qu'il a reconnu la chaîne

BruJu

// https://www.codingame.com/ide/puzzle/detective-pikaptcha-ep2

#include <iostream>
#include <vector>
#include <optional>

enum class Direction {
    TOP, BOT, LEFT, RIGHT
};

BruJu

# Script permettant de calculer les résultats de l'apprentissage d'un perceptron
# Ecrit dans le cadre de l'Ue Techniques d'Apprentissage Automatique du M2IA de Lyon 1
# (parce que calculer à la main des sommes de multiplications avec des virgules, c'est rigolo 5 minutes, mais pas 6)

# Paramètres

base_dapprentissage = [
  (1, 6, 4, 1),
  (1, 7, 5, 1),
  (1, 11, 16, -1),

BruJu

In the gist https://gist.github.com/BruJu/59c0a9d51d574e9e5d2dad0a74fd11e9 I benchmarked some rdfjs sources against BSBM

In this gist, we badly benchmark exportation in web assembly ( https://github.com/oxigraph/oxigraph/tree/master/js ) using the sparql interface

Same dataset than the other gist, same command, a new script ( oxipoint.js )

$ npm install oxigraph
$ node oxipoint.js

BruJu

// Rust BTreeSet::Range::size_hint testing

use std::collections::btree_set::*;

fn main() {
    let mut treeset = BTreeSet::<u32>::new();
    
    for i in 0..78 {
        if i % 3 != 1 {
            treeset.insert(i);

BruJu

Benchmarking RDF JS Stores with Comunica SPARQL Engine using the BSBM benchmark

In this gist, we try to benchmark my web assembly implementation of RDF.JS Stores on SPARQL requests.

The tools we use are :

• Communica's SPARQL Engine which is used as an adapter of the RDF JS Source interface to a SPARQL interface.
• BSBM Tools to build a dataset and benchmark the performances with their test driver

To benchmark RDF JS stores (N3 and my own implementation), we build a SPARQL end point with a code that is mostly a copy / paste from Comunica (see the sparqlendpointfromstore.js file). We use the BSBM Java test driver to benchmark.

BruJu

SPARQL End point benchmark, episode 3

Former experiments

• Sparql End Point.js
• Oxipoint.js

This one

In this gist, we benchmark Wasm Tree Store on SPARQL request using the Comunica engine. We compare it to the default parameters of Comunica, which resorts to a n3 store.

BruJu

///////////////////////////////////////////////////
///////////////////////////////////////////////////
///////////////////////////////////////////////////

// Current status : It works
// SophiaExportQuad : https://github.com/BruJu/Portable-Reasoning-in-Web-Assembly/blob/bf9aefade845c9a9b15e8ba6196d33b42ea5701d/sophia-wasm/src/datamodel_quad.rs#L78

///////////////////////////////////////////////////
///////////////////////////////////////////////////

BruJu

// Not yet tested because WeakRef isn't supported on my browsers

// Actually that's bad because Destructors will exist :
// https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/FinalizationRegistry

class Destructor {
  constructor(object, destructor, time) {
    this.object = new WeakRef(object);
    this.destructor = destructor;
    

BruJu

/* ============================================================================
 * Animal general implementation
 */

pub trait Animal {
    fn cri(&self);
}

pub struct Chat { }