didip

[unix_http_server]
file=/tmp/supervisor.sock                       ; path to your socket file

[supervisord]
logfile=/var/log/supervisord/supervisord.log    ; supervisord log file
logfile_maxbytes=50MB                           ; maximum size of logfile before rotation
logfile_backups=10                              ; number of backed up logfiles
loglevel=error                                  ; info, debug, warn, trace
pidfile=/var/run/supervisord.pid                ; pidfile location
nodaemon=false                                  ; run supervisord as a daemon

mikeyk

from django.contrib.sessions.backends.base import SessionBase, CreateError
from django.conf import settings
from django.utils.encoding import force_unicode
import redis

class SessionStore(SessionBase):
    """ Redis store for sessions"""

    def __init__(self, session_key=None):
        self.redis = redis.Redis(

zziuni

# source : http://code.google.com/p/natvpn/source/browse/trunk/stun_server_list
# A list of available STUN server.

stun.l.google.com:19302
stun1.l.google.com:19302
stun2.l.google.com:19302
stun3.l.google.com:19302
stun4.l.google.com:19302
stun01.sipphone.com
stun.ekiga.net

dmytro

#!/bin/bash
# ssh-multi
# D.Kovalov
# Based on http://linuxpixies.blogspot.jp/2011/06/tmux-copy-mode-and-how-to-control.html

# a script to ssh multiple servers over multiple tmux panes


starttmux() {
    if [ -z "$HOSTS" ]; then

emeeks

The range sliders at the top change the values for the force-directed algorithm and the buttons load new graphs and apply various techniques. This will hopefully serve as a tool for teaching network analysis and visualization principles during my Gephi courses and general Networks in the Humanities presentations.

Notice this includes a pretty straightforward way to load CSV node and edge lists as exported from Gephi.

It also includes a pathfinding algorithm built for the standard data structure of force-directed networks in D3. This requires the addition of .id attributes for the nodes, however.

Now with Clustering Coefficients!

Also, it loads images for nodes but the images are not in the gist. The code also refers to different network types but the data files on Gist only refer to the transportation network.

jamestbrown

#!/usr/bin/python
from silk import *
import json
import random
import datetime
import time

def strTimeProp(start, end, format, prop):
    stime = time.mktime(time.strptime(start, format))
    etime = time.mktime(time.strptime(end, format))

tevino

package main

import (
	"fmt"
	"net"
	"os"
	"syscall"
)

const (

MaskRay

#!/usr/bin/env python3
import asyncio, aiohttp
from argparse import ArgumentParser
from threading import Thread
from urllib.parse import urljoin
import json, logging, os, random, re, requests, signal, sys, tempfile, time
import xml.etree.ElementTree as ET
import aiohttp
from ipdb import set_trace as bp

sagivo

to check if the server works - https://webrtc.github.io/samples/src/content/peerconnection/trickle-ice

stun:
stun.l.google.com:19302,
stun1.l.google.com:19302,
stun2.l.google.com:19302,
stun3.l.google.com:19302,
stun4.l.google.com:19302,
stun.ekiga.net,
stun.ideasip.com,

simonw

How to recover lost Python source code if it's still resident in-memory

I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6

Attach a shell to the docker container

Install GDB (needed by pyrasite)

apt-get update && apt-get install gdb