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#!/bin/bash
i3-msg -t get_workspaces | jq -r 'map(select(.focused))[0].rect["width","height"]'
i3-msg -t get_workspaces | jq -r 'map(select(.focused))[0].output'

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#!/bin/sh
#    ██   ██  ██                                 ██     ██                   
#   ░██  ░░  ░██                                ░██    ░██                   
#  ██████ ██ ░██  █████         ██████  █████  ██████ ██████  █████  ██████  
# ░░░██░ ░██ ░██ ██░░░██ █████ ██░░░░  ██░░░██░░░██░ ░░░██░  ██░░░██░░██░░█  
#   ░██  ░██ ░██░███████░░░░░ ░░█████ ░███████  ░██    ░██  ░███████ ░██ ░   
#   ░██  ░██ ░██░██░░░░        ░░░░░██░██░░░░   ░██    ░██  ░██░░░░  ░██     
#   ░░██ ░██ ███░░██████       ██████ ░░██████  ░░██   ░░██ ░░██████░███     
#    ░░  ░░ ░░░  ░░░░░░       ░░░░░░   ░░░░░░    ░░     ░░   ░░░░░░ ░░░      
# Aids in setting stupid tiles as X11 background; tints and tiles;

97-109-107

#!/usr/bin/env python2.7
#based on https://gist.github.com/hhatto/6405956 from hhato
import sys

new_vim_color = []

xtermMap = {
     '0':   '#000000', '1':   '#800000', '2':   '#008000', '3':   '#808000', '4':   '#000080', 
     '5':   '#800080', '6':   '#008080', '7':   '#c0c0c0', '8':   '#808080', '9':   '#ff0000',
     '10':  '#00ff00', '11':  '#ffff00', '12':  '#0000ff', '13':  '#ff00ff', '14':  '#00ffff',

97-109-107

#!/usr/bin/env python
 
import i3

outputs = i3.get_outputs()
workspaces = i3.get_workspaces()

# figure out what is on, and what is currently on your screen.
workspace = list(filter(lambda s: s['focused']==True, workspaces))
output = list(filter(lambda s: s['active']==True, outputs))

97-109-107

#!/usr/bin/env python 
# based on  http://stackoverflow.com/questions/7052947/split-95mb-json-array-into-smaller-chunks
# usage: python json-split filename.json
# produces multiple filename_0.json of 1.49 MB size

import json
import sys

with open(sys.argv[1],'r') as infile:
    o = json.load(infile)

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*background:        #1e2132
*foreground: #c6c8d1
! black
*color0: #2a3158
*color8: #444b71
! red
*color1: #e27878
*color9: #e2a478
! green
*color2: #89b8c2

97-109-107

#!/usr/bin/env python
import i3

def getCurrentScreen():
    workspace = [ws for ws in i3.get_workspaces() if ws['focused']][0]

    screen_w =str(workspace['rect']['width'])
    screen_h =str(workspace['rect']['height'])

    print(screen_w, screen_h);

97-109-107

#!/usr/bin/env python
import i3
import re
import sys
from time import sleep
import json

#resize <grow|shrink> <direction> [<px> px [or <ppt> ppt]]

barHeight = 18

97-109-107

#!/bin/sh

find ~/.config/OpenRCT2/Scenarios/ -iname "*sc6" -print0 | while IFS= read -r -d '' path; do
	name=$(basename "$path")
	$(openrct2 screenshot "$path" /tmp/Scenarios/"$name".png 1024 1024 0 50 3 0)
done

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<h2 id="examples">Examples</h2>

<p><strong><a href="http://www.ted.com/talks/nicholas_christakis_how_social_networks_predict_epidemics.html">Nicholas Christakis: How social networks predict epidemics</a></strong></p>

<p><img src="http://www.well.com/user/abs/Cyb/archive/c3m_1101_pix/EpidemicViz.jpg" alt="The Spread of Flu, Harvard College, 2009" title=""></p>

<blockquote>
  <p>Want to predict the next big epidemic? Map real-life social networks, <br>
  like friendships and workplace relationships. In this talk from <br>
  TED@Cannes, Nicholas Christakis shows how monitoring the friends of <br>