aguegu

# Basic Strongswan ikev2 server setup
 
* paltform: atlantic.net ubuntu 14.04 x64
* the commands below are run with root account 

## Strongswan
```
apt-get install strongswan
apt-get install iptables iptables-persistent
```

ralfebert

//
//  Swift-KVO
//
//  Created by Jim Correia on 6/5/14.
//  Copyright (c) Jim Correia. All rights reserved.
//
//  Update: 6/17/2014
//
//  KVOContext has gone away; use the same idiom you'd use from Objective-C for the context

twostraws

//
//  SimpleScrollingStack.swift
//  A super-simple demo of a scrolling UIStackView in iOS 9
//
//  Created by Paul Hudson on 10/06/2015.
//  Learn Swift at www.hackingwithswift.com
//  @twostraws
//

import UIKit

samba

#!/bin/sh

# This assumes you have access to the system via SSH already, and need 
# remote VNC access as the same user, and you want only the primary display.
export DISPLAY=:0

# Encoded password with http://www.motobit.com/util/base64-decoder-encoder.asp
export VNC_PASSWORD="dm5jX3Bhc3N3b3JkNzE="  # vnc_password71
export VNC_PASSWORD="dm5jX3Bhc3M=" # vnc_password (a character limit is enforced?)
# Sadly many common VNC clients don't support encryption.

mnespor

import Foundation.NSNotification
#if !COCOAPODS
import PromiseKit
#endif

/**
 To import the `NSNotificationCenter` category:

    use_frameworks!
    pod "PromiseKit/Foundation"

mcastelino

The netfilter hooks in the kernel and where they hook in the packet flow

The figure below calls out

• The netfilter hooks
• The order of table traversal

aparrish

reywood

How to get a stack trace for each thread in a running python script

Sometimes a python script will simply hang forever with no indication of where things went wrong. Perhaps it's polling a service that will never return a value that allows the program to move forward. Here's a way to see where the program is currently stuck.

Install gdb and pyrasite

Install gdb.

# Redhat, CentOS, etc

wangruohui

Intel for display, NVIDIA for computing

This guide will show you how to use Intel graphics for rendering display and NVIDIA graphics for CUDA computing on Ubuntu 18.04 / 20.04 desktop.

I made this work on an ordinary gaming PC with two graphics devices, an Intel UHD Graphics 630 plus an NVIDIA GeForce GTX 1080 Ti. Both of them can be shown via lspci | grep VGA.

00:02.0 VGA compatible controller: Intel Corporation Device 3e92
01:00.0 VGA compatible controller: NVIDIA Corporation GP102 [GeForce GTX 1080 Ti] (rev a1)

erenon

"""Pseudocode description of the AlphaZero algorithm."""


from __future__ import google_type_annotations
from __future__ import division

import math
import numpy
import tensorflow as tf
from typing import List