robertmarsal

sudo apt-get install python-glade2 python-appindicator
git clone https://github.com/Kilian/f.lux-indicator-applet.git
cd f.lux-indicator-applet
chmod +x setup.py
sudo ./setup.py install
fluxgui

robertmarsal

Description

A Dashing widget for displaying the number of current visitors (in real time) to your website, as reported by Google Analytics.

This widget is a fork of https://gist.github.com/mtowers/5986576

Dependencies

robertmarsal

---
Compression
---
# Create folder.tar.bz2 from folder
tar -cvjf folder.tar.bz2 folder/*

---
Mysql
---
# Dump selected table

robertmarsal

[remote "origin"]
    url = [email protected]:username/reponame.git
    fetch = +refs/heads/*:refs/remotes/origin/*

robertmarsal

[remote "origin"]
    url = https://[email protected]/username/reponame.git
    fetch = +refs/heads/*:refs/remotes/origin/*

robertmarsal

<?php

$default_form_data = array ('disabled_select' => true);
$my_form = new my_form($default_form_data);
$my_form->display();

robertmarsal

<?php

require_once($CFG->dirroot.'/lib/formslib.php');

class my_form extends moodleform{

    function definition() {
    
    //check if the select must be disabled
    isset($this->_customdata['disabled_select']) 

robertmarsal

file = File.new("input", "r")
max = file.gets
counter = 1
while (line = file.gets)

  result = 0 
  raw_range = line.split(" ")
  range = raw_range[0].to_i..raw_range[1].to_i
  computed = Hash.new

robertmarsal

#googlerese to english
mapping = { "a" => "y", "b" => "h", "c" => "e", "d" => "s", "e" => "o",
	    "f" => "c", "g" => "v", "h" => "x", "i" => "d", "j" => "u",
	    "k" => "i", "l" => "g", "m" => "l", "n" => "b", "o" => "k",
	    "p" => "r", "q" => "z", "r" => "t", "s" => "n", "t" => "w",
	    "u" => "j", "v" => "p", "w" => "f", "x" => "m", "y" => "a",
	    "z" => "q"}

file = File.new("input", "r")
max = file.gets

robertmarsal

file = File.new("input", "r")
max = file.gets
counter = 1
while (line = file.gets)
  data = line.split(" ") 	
  #num of cases 
  cases = data[0].to_i
  #num of surprising cases
  s = data[1].to_i
  #min result