mislav

// ~/docker/config.json
{
	"credsStore": "desktop",
	"credHelpers": {
		"docker.pkg.github.com": "gh",
		"ghcr.io": "gh"
	}
}

kquinsland

# Creates a "dummy" network interface
# we'll configure this interface with a link-local address
# See: https://www.freedesktop.org/software/systemd/man/systemd.netdev.html
##

[NetDev]
Name=dummy0
Kind=dummy

aymericbeaumet

Ever wanted to delete all your likes/favorites from Twitter but only found broken/expensive tools? You are in the right place.

1. Go to: https://twitter.com/{username}/likes
2. Open the console and run the following JavaScript code:

setInterval(() => {
  for (const d of document.querySelectorAll('div[data-testid="unlike"]')) {
    d.click()
 }

scf37

// Based on: https://stackoverflow.com/a/46814952/283851
// Based on: https://gist.github.com/mindplay-dk/72f47c1a570e870a375bd3dbcb9328fb

/**
 * Create a Base64 Image URL, with rotation applied to compensate for EXIF orientation, if needed.
 *
 * Optionally resize to a smaller maximum width - to improve performance for larger image thumbnails.
 */
export function getImageUrl(file: File, maxWidth: number|undefined): Promise<string> {
    return readOrientation(file).then(orientation => {

lloeki

#!/bin/bash

set -e
set -u
set -o pipefail

prefix="git@gitlab.somewhere.com:mygroup"

target="$1"
shift

escapedcat

Cordova CI with Jenkins for iOS apps

Inspired by CI server on Mac OS for iOS using GitLab and Fastlane by @v_shevchyk we decided to write down our approach. This will be extended and improved over time.

So you want to deploy your Cordova app, but you hate opening xcode manually to archive and export and sign and cry? Try this. By this we mean we try to explain how to create the following CI (Jenkins) setup:

• Build Cordova app
• Create & sign your ipa file
• Upload to HockeyApp (for Enterprise distribution)

dannguyen

Using Python 3 + Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs

paulirish

/* bling.js */

window.$ = document.querySelectorAll.bind(document);

Node.prototype.on = window.on = function (name, fn) {
  this.addEventListener(name, fn);
}

NodeList.prototype.__proto__ = Array.prototype;

bmccormack

#Random Assignment for Help Scout

When you have conversations that are handled by multiple individuals on a team, it can be difficult to distribute the tasks evenly to each member without cherry picking or having someone manage the queue.

This script helps by taking unassigned conversations and re-assigning them randomly to the members of the team, based on a specified weight.

samselikoff

This post is also on my blog, since Gist doesn't support @ notifications.

---

Components are taking center stage in Ember 2.0. Here are some things you can do today to make the transition as smooth as possible:

• Use Ember CLI
• In general, replace views + controllers with components
• Only use controllers at the top-level for receiving data from the route, and use Ember.Controller instead of Ember.ArrayController or Ember.ObjectController
• Fetch data in your route, and set it as normal properties on your top-level controller. Export an Ember.Controller, otherwise a proxy will be generated. You can use Ember.RSVP.hash to simulate setting normal props on your controller.