Marcel Bollmann mbollmann

Updating expired GPG keys and their backup 🔑🔐💻

I use a GPG key to sign my git commits.

An error like this one might be a sign of an expired GPG key.

error: gpg failed to sign the data fatal: failed to write commit object

Europe

SkinFlint : Price comparison site which has some nice filtering options per switch type etc. Searches for offers in UK, Germany, Poland and Austria
mykeyboard.eu : Keyboards, keycaps and accessories. Based in Belgium.
candykeys.com : European Store selling Vortex, Leopold, KBP, Anne Pro keyboards, keycap sets and components (ISO + ANSI). Based in Germany, ships to EU.
falba.tech : custom wooden bamboo cases, and some acrylic and carbon ones. Switch packs (65 browns at 48EUR). Other parts for the GH60, Atreus, ErgoDox. Also Microcontrollers, diodes, leds etc.
42keebs.eu - Mostly PCBs, tools and accessories. Located in Czech Republic.
KEYGEM : Switches, Keycaps, lubes, cables, DIY kits and deskmats. Based in Germany, ships to the EU and worldwide.
[Eloquent Clicks - Custom Mechanical Keyboard Store](https://www.eloquen

What forces layout / reflow

All of the below properties or methods, when requested/called in JavaScript, will trigger the browser to synchronously calculate the style and layout*. This is also called reflow or layout thrashing, and is common performance bottleneck.

Generally, all APIs that synchronously provide layout metrics will trigger forced reflow / layout. Read on for additional cases and details.

Element APIs

Getting box metrics

elem.offsetLeft, elem.offsetTop, elem.offsetWidth, elem.offsetHeight, elem.offsetParent

Latency numbers every programmer should know

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

	#!/usr/bin/env python3

	# Unicode characters are neatly categorized into different "scripts", as seen on
	# the character code chart <http://www.unicode.org/charts/#scripts> and defined
	# in Annex #24 <https://www.unicode.org/reports/tr24/>.
	#
	# Unfortunately, Python's unicodedata module doesn't provide access to this
	# information. However, the fontTools library does include this.
	# <https://github.com/fonttools/fonttools>
	#

	n <- 200
	m <- 40
	set.seed(1)
	x <- runif(n, -1, 1)
	library(rafalib)
	bigpar(2,2,mar=c(3,3,3,1))
	library(RColorBrewer)
	cols <- brewer.pal(11, "Spectral")[as.integer(cut(x, 11))]
	plot(x, rep(0,n), ylim=c(-1,1), yaxt="n", xlab="", ylab="",
	col=cols, pch=20, main="underlying data")

	import sys, marshal, functools, subprocess

	child_script = """
	import marshal, sys, types;
	fn, args, kwargs = marshal.load(sys.stdin)
	marshal.dump(
	types.FunctionType(fn, globals())(args, *kwargs),
	sys.stdout)
	"""