On mac:
- Download the latest release.
- Extract the binary and place it in
/usr/local/bin
.
(function (context, trackingId, options) { | |
const history = context.history; | |
const doc = document; | |
const nav = navigator || {}; | |
const storage = localStorage; | |
const encode = encodeURIComponent; | |
const pushState = history.pushState; | |
const typeException = 'exception'; | |
const generateId = () => Math.random().toString(36); | |
const getId = () => { |
public enum Font { | |
OXYGEN_REGULAR("Oxygen-Regular.ttf"), | |
OXYGEN_LIGHT("Oxygen-Light.ttf"), | |
OXYGEN_BOLD("Oxygen-Bold.ttf"), | |
GOTHAM_BOOK("Gotham-Book.ttf"), | |
GOTHAM_LIGHT("Gotham-Light.ttf"), | |
GOTHAM_MEDIUM("Gotham-Medium.ttf"); | |
private final String path; |
# === Optimized my.cnf configuration for MySQL/MariaDB (on Ubuntu, CentOS, Almalinux etc. servers) === | |
# | |
# by Fotis Evangelou, developer of Engintron (engintron.com) | |
# | |
# ~ Updated September 2024 ~ | |
# | |
# | |
# The settings provided below are a starting point for a 8-16 GB RAM server with 4-8 CPU cores. | |
# If you have different resources available you should adjust accordingly to save CPU, RAM & disk I/O usage. | |
# |
/** | |
* Based on the mysql cluster | |
* @link http://jonisalonen.com/2012/k-means-clustering-in-mysql/ | |
*/ | |
-- SELECT | |
-- * FROM | |
-- unnest(kmeans(array(SELECT | |
-- ( | |
-- lat, |
On mac:
/usr/local/bin
.