olih

Processing JSON using jq

jq is useful to slice, filter, map and transform structured json data.

Installing jq

On Mac OS

brew install jq

sm-Fifteen

"What the heck is a Yubikey and why did I buy one?": A user guide

(EDIT: Besides Reddit, I've also put this up on Github Gist)

So while looking for information on security keys before getting one myself, I got very confused reading about all the different modes and advertised features of Yubikeys and other similar dongles. The official documentation tends to be surprisingly convoluted at times, weirdly organized and oddly shy about a few of the limitations of these keys (which I'm making a point of putting front and center). Now that I have one, I decided to write down everything I figured out in order to help myself (and hopefully some other people reading this) make sense of all this.

Since I'm partly writing these notes for myself, there might be some back and forth between "exp

piscisaureus

Locate the section for your github remote in the .git/config file. It looks like this:

[remote "origin"]
	fetch = +refs/heads/*:refs/remotes/origin/*
	url = git@github.com:joyent/node.git

Now add the line fetch = +refs/pull/*/head:refs/remotes/origin/pr/* to this section. Obviously, change the github url to match your project's URL. It ends up looking like this:

busybox11

// ==UserScript==
// @name        @chaoticvibing Twitter Blue Nerd - twitter.com
// @namespace   Violentmonkey Scripts
// @match       *://*.twitter.com/*
// @grant       none
// @version     1.9.1
// @author      @chaoticvibing - GH @busybox11
// @description 11/9/2022, 11:45:28 PM
// @updateURL   https://gist.githubusercontent.com/busybox11/53c76f57a577a47a19fab649a76f18e3/raw/twitterblue-nerd.js
// @downloadURL https://gist.githubusercontent.com/busybox11/53c76f57a577a47a19fab649a76f18e3/raw/twitterblue-nerd.js

alvations

What the BookCorpus?

So in the midst of all these Sesame Streets characters and robots transforming automobile era of "contextualize" language models, there is this "Toronto Book Corpus" that points to this kinda recently influential paper:

Yukun Zhu, Ryan Kiros, Rich Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, and Sanja Fidler. 2015. "Aligning books and movies: Towards story-like visual explanations by watching movies and reading books." In Proceedings of the IEEE international conference on computer vision, pp. 19-27.

Why do I even care, there's no translations there?

Some might know my personal pet peeve on collecting translation datasets but this BookCorpus has no translations, so why do I even care about it?

ndfred

import datetime
import logging
import json
import paho.mqtt.client as mqtt # pip3 install paho-mqtt

GLOW_LOGIN = "GLOW_LOGIN"
GLOW_PASSWORD = "GLOW_PASSWORD"
GLOW_DEVICE_ID = "GLOW_DEVICE_ID"

# Fields gathered from the ZigBee Smart Energy Standard document

cdzombak

6be5d57c4d0c622216b38c5ea62195a5