I got an ancient nook "simple touch" for free on a neighborhood Facebook group yesterday. Figured I could see if I at least like the form factor before getting myself a newer one.
When I got it, the battery was completely dead. I plugged it in to charge (thankfully a micro-USB charger). After about 20 minutes, it was ready to work on.
Andy Thomason is a Senior Programmer at Genomics PLC. He has been witing graphics systems, games and compilers since the '70s and specialises in code performance.
The following are examples of the four types rate limiters discussed in the accompanying blog post. In the examples below I've used pseudocode-like Ruby, so if you're unfamiliar with Ruby you should be able to easily translate this approach to other languages. Complete examples in Ruby are also provided later in this gist.
In most cases you'll want all these examples to be classes, but I've used simple functions here to keep the code samples brief.
This uses a basic token bucket algorithm and relies on the fact that Redis scripts execute atomically. No other operations can run between fetching the count and writing the new count.
Disclaimer: This piece is written anonymously. The names of a few particular companies are mentioned, but as common examples only.
This is a short write-up on things that I wish I'd known and considered before joining a private company (aka startup, aka unicorn in some cases). I'm not trying to make the case that you should never join a private company, but the power imbalance between founder and employee is extreme, and that potential candidates would
| #!/bin/sh | |
| command="${*}" | |
| printf "Initialized REPL for `%s`\n" "$command" | |
| printf "%s> " "$command" | |
| read -r input | |
| while [ "$input" != "" ]; | |
| do | |
| eval "$command $input" | |
| printf "%s> " "$command" |
A curated list of AWS resources to prepare for the AWS Certifications
A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.
In a project I'm working on I ran into the requirement of having some sort of persistent FIFO buffer or pipe in Linux, i.e. something file-like that could accept writes from a process and persist it to disk until a second process reads (and acknowledges) it. The persistence should be both across process restarts as well as OS restarts.
AFAICT unfortunately in the Linux world such a primitive does not exist (named pipes/FIFOs do not persist
Get Git log in JSON format
git log --pretty=format:'{%n "commit": "%H",%n "abbreviated_commit": "%h",%n "tree": "%T",%n "abbreviated_tree": "%t",%n "parent": "%P",%n "abbreviated_parent": "%p",%n "refs": "%D",%n "encoding": "%e",%n "subject": "%s",%n "sanitized_subject_line": "%f",%n "body": "%b",%n "commit_notes": "%N",%n "verification_flag": "%G?",%n "signer": "%GS",%n "signer_key": "%GK",%n "author": {%n "name": "%aN",%n "email": "%aE",%n "date": "%aD"%n },%n "commiter": {%n "name": "%cN",%n "email": "%cE",%n "date": "%cD"%n }%n},'The only information that aren't fetched are:
%B: raw body (unwrapped subject and body)%GG: raw verification message from GPG for a signed commit| /* bling.js */ | |
| window.$ = document.querySelectorAll.bind(document); | |
| Node.prototype.on = window.on = function (name, fn) { | |
| this.addEventListener(name, fn); | |
| } | |
| NodeList.prototype.__proto__ = Array.prototype; |
