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// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

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var client = {};

client.run = function (options) {

	options = options || {};


	var socket = io.connect(options.remote || "http://localhost:8080");
	socket.on('connect', function() {
		var term = new Terminal({

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The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

• "Build tools for others that you want to be built for you." - Kenneth Reitz
• "Simplicity is alway better than functionality." - Pieter Hintjens

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import os
import sys
import json
import socket
import threading

activate_this = os.environ.get("SUBLIMEREPL_ACTIVATE_THIS", None)

# turn off pager
os.environ['TERM'] = 'emacs'

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# -*- coding: utf-8 -*-
__author__ = 'Arkady.Babaev'

import requests
import xml.etree.ElementTree as ET

class ALMUrl:
    def __init__(self, ip, port, domain, project):
        self.__base = u'http://' + ip + u':' + port + u'/qcbin'
        self.__auth = self.__base + u'/authentication-point/authenticate'

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<!-- take into use:
    Save this file
    Open Notepad++
    Select menu: Language > Define your language...
    You get a popup. Select "Import", navigate to xml-file
    Click "Save as" and name your file eg. "RobotFramework"
    Now you can open a Robot test suite file and select from Languages -menu the correct language (in the bottom) 
-->
<NotepadPlus>
    <UserLang name="RobotFramework" ext="txt">

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Installing Python 3 compatible Fabric

Unfortunately, Fabric has not yet officilly been ported to Python 3. However, it is possible to get it to work. Here is how I did it.

First, create a virtual environment to run fabric in. (If you haven't set up virtual environments for Python, go ahead and do that now, then come back.) I have the [fink environment] (http://finkproject.org) installed on my Mac, and

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#Flask-admin Many-to-Many Search

Many-to-Many searches are not easily supported by Flask-admin. Read Here for more info

##Solution

• Add the association tables to the list of join tables so that the join between the two tables can be made through the association table.
• Reverse the tables to ensure that the association tables are processed before the other join table.

Tested on Flask-Admin 1.1.0

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"""Asynchronous requests in Flask with gevent"""

from time import time

from flask import Flask, Response

from gevent.pywsgi import WSGIServer
from gevent import monkey

import requests

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license: gpl-3.0