How to set up multiple accounts with Mutt E-mail Client
Thanks to this article by Christoph Berg
Directories and files
~/
Thanks to this article by Christoph Berg
Directories and files
~/
# | |
# Working with branches | |
# | |
# Get the current branch name (not so useful in itself, but used in | |
# other aliases) | |
branch-name = "!git rev-parse --abbrev-ref HEAD" | |
# Push the current branch to the remote "origin", and set it to track | |
# the upstream branch | |
publish = "!git push -u origin $(git branch-name)" |
/* | |
* I add this to html files generated with pandoc. | |
*/ | |
html { | |
font-size: 100%; | |
overflow-y: scroll; | |
-webkit-text-size-adjust: 100%; | |
-ms-text-size-adjust: 100%; | |
} |
Each of these commands will run an ad hoc http static server in your current (or specified) directory, available at http://localhost:8000. Use this power wisely.
$ python -m SimpleHTTPServer 8000
Locate the section for your github remote in the .git/config
file. It looks like this:
[remote "origin"]
fetch = +refs/heads/*:refs/remotes/origin/*
url = [email protected]:joyent/node.git
Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/*
to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:
# -*- mode: conf; -*- | |
# | |
# NOTE: Settings generally support python interpolation. This means | |
# values can contain python format strings which refer to other values | |
# in the same section, or values in a special DEFAULT section. This | |
# allows you for example to use common settings for multiple accounts: | |
# | |
# [Repository Gmail1] | |
# trashfolder: %(gmailtrashfolder)s | |
# |
L1 cache reference ......................... 0.5 ns
Branch mispredict ............................ 5 ns
L2 cache reference ........................... 7 ns
Mutex lock/unlock ........................... 25 ns
Main memory reference ...................... 100 ns
Compress 1K bytes with Zippy ............. 3,000 ns = 3 µs
Send 2K bytes over 1 Gbps network ....... 20,000 ns = 20 µs
SSD random read ........................ 150,000 ns = 150 µs
Read 1 MB sequentially from memory ..... 250,000 ns = 250 µs
Latency Comparison Numbers (~2012) | |
---------------------------------- | |
L1 cache reference 0.5 ns | |
Branch mispredict 5 ns | |
L2 cache reference 7 ns 14x L1 cache | |
Mutex lock/unlock 25 ns | |
Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
Compress 1K bytes with Zippy 3,000 ns 3 us | |
Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
(ns bootcamp.factorial) | |
(defn fast-factorial [number] | |
(loop [n number factorial 1] | |
(if (zero? n) | |
factorial | |
(recur (- n 1) (* factorial n))))) | |
(defn fast-no-loop-factorial | |
([number] (fast-no-loop-factorial number 1)) |