xpl

// ==UserScript==
// @name         GitHub Approve to Bless
// @namespace    http://tampermonkey.net/
// @version      1.2
// @description  Replaces "approve" and its variants with "bless" and corresponding variants on GitHub pull request pages, accounting for dynamic content and case sensitivity.
// @author
// @match        https://github.com/*/*/pull/*
// @grant        none
// @icon         https://github.githubassets.com/favicons/favicon.svg
// ==/UserScript==

xpl

// ==UserScript==
// @name         HN Chat Mode
// @namespace    https://news.ycombinator.com/
// @version      2024-09-18
// @description  live comments updater
// @author       You
// @match        https://news.ycombinator.com/item*
// @icon         https://www.google.com/s2/favicons?sz=64&domain=news.ycombinator.com
// @grant        none
// ==/UserScript==

xpl

#!/bin/bash

# ---------------------------------------
# EXAMPLE USE:
#
#      ./watch.sh target/debug/my-server-app
# ---------------------------------------

kill_prev_pid () {
  echo Killing prev pid $(cat .pid)

xpl

Encrypt

echo 'unencrypted' | openssl aes-256-cbc -a -salt -pbkdf2

Decrypt

echo 'encrypted' | openssl aes-256-cbc -d -a -pbkdf2

xpl

Squash My Commits (In A Feature Branch)

Here's a script for squashing up to the first commit coming after a merge commit (with confirmation). Useful for working in a branch and then squashing temporary commits before merging into trunk.

Save the script as squash. Upon executing, it brings your git editor (vim/nano/whatever) to confirm the prepped rebase todo — so you would only need to simply save-and-exit (in most cases).

#!/usr/bin/env python3
# flake8: noqa

xpl

// -----------------------------------------------------------------

'use strict'

// -----------------------------------------------------------------

function replicate (times, n) {
    let arr = []
    if (times <= 0) { return arr }
    arr.push (n)

xpl

0xF4B9d98828dF938ccf16b644Be471cF23816AB9F

xpl

Mixed Integer Programming Example (Python)

import pandas as pd
import numpy  as np

from scipy.spatial import distance
from mip.model     import *

factories = pd.DataFrame ([

xpl

xpl

### Keybase proof

I hereby claim:

  * I am xpl on github.
  * I am xpl (https://keybase.io/xpl) on keybase.
  * I have a public key ASCbmgidGUS8v1jHmPMQmSQEqPMHxAmeQERrU2XSi1jyOAo

To claim this, I am signing this object: