⚠️ Warning: this document is out of date.For the most recent webpack5 instructions see MIGRATION.md.
Storybook 6.2 includes experimental Webpack 5 support. Webpack 5 brings a variety of performance improvements, as well as exciting new features like module federation. Here's a quick guide to get you going.
| type State = { | |
| added: boolean; | |
| interval: false | ReturnType<typeof setInterval>; | |
| inFrame: boolean; | |
| callbacks: Array<SetFocusedCallback>; | |
| }; | |
| type EnrichedHTMLIFrameElement = HTMLIFrameElement & { ___onWindowFocusHandled: boolean }; | |
| type SetFocusedCallback = (focused?: boolean) => void; |
I was talking to a coworker recently about general techniques that almost always form the core of any effort to write very fast, down-to-the-metal hot path code on the JVM, and they pointed out that there really isn't a particularly good place to go for this information. It occurred to me that, really, I had more or less picked up all of it by word of mouth and experience, and there just aren't any good reference sources on the topic. So… here's my word of mouth.
This is by no means a comprehensive gist. It's also important to understand that the techniques that I outline in here are not 100% absolute either. Performance on the JVM is an incredibly complicated subject, and while there are rules that almost always hold true, the "almost" remains very salient. Also, for many or even most applications, there will be other techniques that I'm not mentioning which will have a greater impact. JMH, Java Flight Recorder, and a good profiler are your very best friend! Mea
In this demonstration I will show you how to read data in Angular2 final release before application startup. You can use it to read configuration files like you do in other languages like Java, Python, Ruby, Php.
This is how the demonstration will load data:
a) It will read an env file named 'env.json'. This file indicates what is the current working environment. Options are: 'production' and 'development';
b) It will read a config JSON file based on what is found in env file. If env is "production", the file is 'config.production.json'. If env is "development", the file is 'config.development.json'.
| #!/bin/sh | |
| # Written by: Keefer Rourke <https://krourke.org> | |
| # Based on AUR package <https://aur.archlinux.org/cgit/aur.git/tree/PKGBUILD?h=ttf-google-fonts-git> | |
| # dependancies: fonts-cantarell, ttf-ubuntu-font-family, git | |
| sudo apt-get install fonts-cantarell ttf-ubuntu-font-family git | |
| srcdir="/tmp/google-fonts" | |
| pkgdir="/usr/share/fonts/truetype/google-fonts" | |
| giturl="git://github.com/google/fonts.git" |
In the last few years, the number of programmers concerned about writing structured commit messages have dramatically grown. As exposed by Tim Pope in article readable commit messages are easy to follow when looking through the project history. Moreover the AngularJS contributing guides introduced conventions that can be used by automation tools to automatically generate useful documentation, or by developers during debugging process.
This document borrows some concepts, conventions and even text mainly from these two sources, extending them in order to provide a sensible guideline for writing commit messages.
Here are 10 one-liners which show the power of scala programming, impress your friends and woo women; ok, maybe not. However, these one liners are a good set of examples using functional programming and scala syntax you may not be familiar with. I feel there is no better way to learn than to see real examples.
Updated: June 17, 2011 - I'm amazed at the popularity of this post, glad everyone enjoyed it and to see it duplicated across so many languages. I've included some of the suggestions to shorten up some of my scala examples. Some I intentionally left longer as a way for explaining / understanding what the functions were doing, not necessarily to produce the shortest possible code; so I'll include both.
The map function takes each element in the list and applies it to the corresponding function. In this example, we take each element and multiply it by 2. This will return a list of equivalent size, compare to o