Fan Jiang ProfFan

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

Code Reuse in Rust

Basic features
Function
Major strategies

EDIT: this is an old post and a lof the information in this document is outdated.

Using Git with Unity

Git is a popular free and open source distributed version control system.

I am new to Unity, but as a long time git user, I wanted to use git for my

Comparative Benchmark Numbers @ Rackspace

I've taken the benchmarks from Matthew Rothenberg's phoenix-showdown, updated Phoenix to 0.13.1 and ran the tests on the most powerful machines available at Rackspace.

Results

Framework	Throughput (req/s)	Latency (ms)	Consistency (σ ms)

RTAI installation for ubuntu 14.04

Preparation

download and unzip

cd /usr/src
curl -L https://www.rtai.org/userfiles/downloads/RTAI/rtai-4.1.tar.bz2 | tar xj
curl -L https://www.kernel.org/pub/linux/kernel/v3.x/linux-3.10.32.tar.xz | tar xJ
curl -L http://kernel.ubuntu.com/~kernel-ppa/mainline/v3.10.32-saucy/linux-image-3.10.32-031032-generic_3.10.32-031032.201402221635_amd64.deb -o linux-image-3.10.32-generic-amd64.deb

VisualSFM by Changchang Wu

Probably the most straight forward way to start generating Point Clouds from a set of pictures.

VisualSFM is a GUI application for 3D reconstruction using structure from motion (SFM). The reconstruction system integrates several of my previous projects: SIFT on GPU(SiftGPU), Multicore Bundle Adjustment, and Towards Linear-time Incremental Structure from Motion. VisualSFM runs fast by exploiting multicore parallelism for feature detection, feature matching, and bundle adjustment.

For dense reconstruction, this program supports Yasutaka Furukawa's PMVS/CMVS tool chain, and can prepare data for Michal Jancosek's CMP-MVS. In addition, the output of VisualSFM is natively supported by Mathias Rothermel and Konrad Wenzel's [SURE]

	#!/bin/bash
	if (( EUID != 0 ))
	then
	echo "I need root!"
	exit 1
	fi

	echo "writing /etc/fonts/conf.d/79-order.conf"
	cat > /etc/fonts/conf.d/79-order.conf <<EOFC
	<?xml version='1.0'?>

	server {
	listen 80;
	listen 443;
	listen [::]:80;
	listen [::]:443;

	server_name fonts.lug.ustc.edu.cn;
	access_log /var/log/nginx/revproxy_access.log;
	error_log /var/log/nginx/revproxy_error.log;

	#!/usr/bin/ruby
	# encoding: utf-8
	# Grab google web fonts and embed them as base64 data URIs
	# <http://brettterpstra.com/2015/03/14/embedding-google-web-fonts/>
	require 'base64'

	if ARGV.length > 0
	input = ARGV
	elsif STDIN.stat.size > 0
	input = STDIN.read.strip.split(/\n+/)