Ladsgroup

// MIT license
// Author: Amir Sarabadani <ladsgroup@gmail.com>
mw.config.set( 'ORESHighlighter', {
    0.075: '#ffe099',
    0.37: '#ffbe99',
    0.90: '#f4908a'
});
( function ( mw, $ ) {
    'use strict';
    if ( !$('.mw-changeslist').length && !$('mw-contributions-list').length ) {

jonasagx

mkdir venv
cd venv
virtualenv 3.4 -p $(which python3) --system-site-packages
cd ..
source venv/3.4/bin/activate
mkdir projects
cd projects
git clone https://jonasagx@github.com/wiki-ai/revscoring
cd revscoring
python -m nltk.downloader stopwords

xadhix-zz

var xLBD = {};
xLBD.c = function (){
xLBD.f = unescape(document.querySelector("[flashvars]").getAttribute("flashvars")).substring(7);
xLBD.f = JSON.parse(xLBD.f.substring(0, xLBD.f.lastIndexOf("}") + 1)).video_data[0].hd_src;
xLBD.a = "<div style='position:absolute;top:100px;height:300px;left:15%;background:#fff;border:10px solid #000;font-size:5em;padding:100px;'>Click <a download='lookback.mp4' href='"+xLBD.f+"'>here<\/a> to download your lookBack video.</div>";
document.body.innerHTML += xLBD.a;
}
if(document.readyState == "complete")
xLBD.c();
else window.onload = xLBD.c;

halfak

$ python
Python 3.5.3 (default, Sep 27 2018, 17:25:39) 
[GCC 6.3.0 20170516] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from revscoring import Model
>>> model = Model.load(open("models/ptwiki.wp10.gradient_boosting.model"))
>>> importance_features = list(sorted(zip(model.estimator.feature_importances_, model.features), reverse=True))
>>> for importance, feature in importance_features:
...   print(round(importance, 3), feature)
... 

danilomac

# -*- coding: utf-8 -*-

'''
@author: Danilo ([[Usuário:Danilo.mac]])
@licence: GNU Public Licence version 2 (GPLv2)

Script para avaliação automática de qualidade na Wikipédia lusófona, semelhante ao [[Módulo:Avaliação]]

Uso:
python qualidade.py <nome_do_arquivo>

danstuken

(define (script-fu-xcf2jpg-batch xcfDirectory inQuality)
  (let* ((xcfList (cadr (file-glob (string-append xcfDirectory "/*.xcf") 1))))
    (while (not (null? xcfList) )
      (let* ((xcfFilename (car xcfList))
        (jpgFilename (string-append (substring xcfFilename 0 (- (string-length xcfFilename) 4) ) ".jpg"))
        (xcfImage    (car (gimp-file-load RUN-NONINTERACTIVE xcfFilename xcfFilename)))
        (xcfDrawable (car (gimp-image-flatten xcfImage))) )
        (file-jpeg-save RUN-NONINTERACTIVE xcfImage xcfDrawable jpgFilename jpgFilename
              inQuality 0.0 0 0 "" 0 1 0 2)
        )

OCR Scan

#!/bin/sh

SOURCE=""

if [ $# -gt 1 ]
then

SOURCE="--source ADF -l 3"
outname=$2
pbreak=$1

arvearve

Mathematics: What do grad students in math do all day?

by Yasha Berchenko-Kogan

A lot of math grad school is reading books and papers and trying to understand what's going on. The difficulty is that reading math is not like reading a mystery thriller, and it's not even like reading a history book or a New York Times article.

The main issue is that, by the time you get to the frontiers of math, the words to describe the concepts don't really exist yet. Communicating these ideas is a bit like trying to explain a vacuum cleaner to someone who has never seen one, except you're only allowed to use words that are four letters long or shorter.

What can you say?

halfak

Step 0: Set up python virtualenv

virtualenv is a command-line utiltity that will allow you to encapsulate a python environment. Ubuntu calls the package that installs this utility "python-virtualenv". You can install it with $ sudo apt-get install python-virtualenv.

Step 1: Create the virtualenv directory

In this sequence, I'm going to assume that python 3.5 is the installed verison.

$ cd ~

bfoz

git filter-branch --env-filter 'export GIT_COMMITTER_DATE="$GIT_AUTHOR_DATE"'