Li Chen 陈力 li-ch

Common Options

-#, --progress-bar Make curl display a simple progress bar instead of the more informational standard meter.

-b, --cookie <name=data> Supply cookie with request. If no =, then specifies the cookie file to use (see -c).

-c, --cookie-jar <file name> File to save response cookies to.

Summary of book "Clean Architecture" by Robert C. Martin

Uncle Bob, the well known author of Clean Code, is coming back to us with a new book called Clean Architecture which wants to take a larger view on how to create software.

Even if Clean Code is one of the major book around OOP and code design (mainly by presenting the SOLID principles), I was not totally impressed by the book.

Clean Architecture leaves me with the same feeling, even if it's pushing the development world to do better, has some good stories and present robust principles to build software.

The book is build around 34 chapters organised in chapters.

`vs` Questions

http://stackoverflow.com/questions/804115 (rebase vs merge).
https://www.atlassian.com/git/tutorials/merging-vs-rebasing (rebase vs merge)
https://www.atlassian.com/git/tutorials/undoing-changes/ (reset vs checkout vs revert)
http://stackoverflow.com/questions/2221658 (HEAD^ vs HEAD~) (See git rev-parse)
http://stackoverflow.com/questions/292357 (pull vs fetch)
http://stackoverflow.com/questions/39651 (stash vs branch)
http://stackoverflow.com/questions/8358035 (reset vs checkout vs revert)

Configuring Mellanox Switches

Login to management console using admin:admin
enable
configure terminal
vlan ### ### is the VLAN id, we use 198 and 199.
Then the terminal will enter VLAN configuration mode, we set name to vlan### with name ###
exit VLAN configuration mode
Configure connect ports. For switch with VLAN 199, ethernet ports 1/1, 1/3, 1/5, 1/7 are connected to each server's eth2. For switch with VLAN 198 ethernet ports 1/10, 1/12, 1/14, 1/16 are connected to each server's eth3.

For each connected port, do the following:

Installation Caffe + NVIDIA CUDA 7 Tools on Ubuntu 14.04 (step by step, including external libraries)

Guide for Ubuntu 16.04 with a 64 bit processor.

Tested on a Dell XPS L421x laptop with a NVIDIA GeForce GT 630m.

This guide is intended to be a (sort of) comprehensive step by step tutorial, including the installation of external dependencies.

This tutorial assumes some decisions about the versions and programs to install, to make it as straightforward to follow as possible, while still having as much advanced features as possible.

Notably:

It uses Anaconda Python (which facilitates installation and has many great feat

#nVidia drivers

sudo apt-add-repository ppa:xorg-edgers/ppa
sudo apt-get update
sudo apt-get install nvidia-current nvidia-settings

#Numix

sudo add-apt-repository ppa:numix/ppa

	from functools import reduce

	def psum(G, P):
	if len(P) > 1:
	elist = list(zip(P,P[1:]))
	return reduce(lambda x, y: x+y, [G.edges[e]['length'] for e in elist])
	return 0

	def exactpath(G,S,D,T,eps,sp_memo,curpath=[], pc=[], lc=[]):
	if T < 0:

	import numpy as np

	SimTime = 10000
	NumServer = 16

	class Server(object):
	def __init__(self, depth, rate):
	self.max_depth = depth
	self.rate = rate
	self.cur_depth = depth

	"""
	installation:

	git clone [email protected]:heikoheiko/pydevp2p.git
	git co sha3id
	python setup.py develop
	pip install statistics networkx matplotlib

	usage:
	cd devp2p/tests/

	#!/bin/sh

	dir=./log/1

	> $dir/CPU0
	> $dir/Mem0
	> $dir/Net0
	> $dir/Dsk0
	> $dir/Nfs0