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
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# | |
# 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 $(git branch-name)" |
Original link: http://www.concentric.net/~Ttwang/tech/inthash.htm
Taken from: http://web.archive.org/web/20071223173210/http://www.concentric.net/~Ttwang/tech/inthash.htm
Reformatted using pandoc
Thomas Wang, Jan 1997
last update Mar 2007
by Bjørn Friese
Beautiful is better than ugly. Explicit is better than implicit.
I frequently deal with collections of things in the programs I write. Collections of droids, jedis, planets, lightsabers, starfighters, etc. When programming in Python, these collections of things are usually represented as lists, sets and dictionaries. Oftentimes, what I want to do with collections is to transform them in various ways. Comprehensions is a powerful syntax for doing just that. I use them extensively, and it's one of the things that keep me coming back to Python. Let me show you a few examples of the incredible usefulness of comprehensions.
#!/bin/bash | |
USER=${1:-sebble} | |
STARS=$(curl -sI https://api.github.com/users/$USER/starred?per_page=1|egrep '^Link'|egrep -o 'page=[0-9]+'|tail -1|cut -c6-) | |
PAGES=$((658/100+1)) | |
echo You have $STARS starred repositories. | |
echo |