Bernardo Galvão bgalvao

Prereqs: install jsonnet, yaml2jsonnet (optional) and yq:

If you already have .yaml files lying around, or prefer to start with them, you don't have to start from scratch: convert them to jsonnet using yaml2jsonnet

yaml2jsonnet ../config/authelia/configuration.yaml | jsonnetfmt - -o config.authelia.jsonnet

Let that be your starting point. Now edit to your will. If you want to test it (see what it renders) or save it, then:

	<!doctype html>
	<html>
	<head>
	<meta charset='UTF-8'><meta name='viewport' content='width=device-width initial-scale=1'>
	<title>redirect</title><link href='https://fonts.googleapis.com/css?family=Inconsolata:400,700\|Roboto:300,300i,400,400i,700,700i&subset=latin-ext' rel='stylesheet' type='text/css' /><style type='text/css'>html {overflow-x: initial !important;}:root { --bg-color:#ffffff; --text-color:#333333; --select-text-bg-color:#B5D6FC; --select-text-font-color:auto; --monospace:"Lucida Console",Consolas,"Courier",monospace; }
	html { font-size: 14px; background-color: var(--bg-color); color: var(--text-color); font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; -webkit-font-smoothing: antialiased; }
	body { margin: 0px; padding: 0px; height: auto; bottom: 0px; top: 0px; left: 0px; right: 0px; font-size: 1rem; line-height: 1.42857; overflow-x: hidden; background: inherit; tab-size: 4; }
	iframe { margin: auto; }
	a.url { word-break: break-all; }
	a:active, a:hover { outline: 0px; }

	import datetime
	import pickle

	import pandas as pd
	import numpy as np

	from sklearn.model_selection import StratifiedShuffleSplit, GridSearchCV

	%load_ext autoreload
	%autoreload 2

	import sys
	sys.path.append("..")

	from scrpts import sample # 'scripts' is a reserved name btw

	THEME="vimix-dark-laptop-amethyst"
	echo $THEME

	# change icon theme
	ICON_THEME="Vimix-White-dark"
	xfconf-query --channel xsettings --property /Net/IconThemeName --set $ICON_THEME


	# change window style
	xfconf-query -c xsettings -p /Net/ThemeName -s $THEME

	#!/usr/bin/env python3

	import os
	from shutil import copyfile

	home_dir = os.getenv('HOME') # only works on Linux
	desktop_dir = os.path.join(home_dir, 'Desktop')
	chrome_based_browsers = ['brave', 'chrome', 'chromium', 'vivaldi']

	(base) [user@machinelmao openmlops]$ minikube start --kubernetes-version=v1.17.17
	😄 minikube v1.23.2 on Arch 21.1.6
	✨ Using the docker driver based on user configuration
	👍 Starting control plane node minikube in cluster minikube
	🚜 Pulling base image ...
	🔥 Creating docker container (CPUs=2, Memory=3900MB) ...
	🐳 Preparing Kubernetes v1.17.17 on Docker 20.10.8 ...
	▪ Generating certificates and keys ...
	▪ Booting up control plane ...
	💢 initialization failed, will try again: wait: /bin/bash -c "sudo env PATH=/var/lib/minikube/binaries/v1.17.17:$PATH kubeadm init --config /var/tmp/minikube/kubeadm.yaml --ignore-preflight-errors=DirAvailable--etc-kubernetes-manifests,DirAvailable--var-lib-minikube,DirAvailable--var-lib-minikube-etcd,FileAvailable--etc-kubernetes-manifests-kube-scheduler.yaml,FileAvailable--etc-kubernetes-manifests-kube-apiserver.yaml,FileAvailable--etc-kubernetes-manifests-kube-controller-manager.yaml,FileAvailable--etc-kubernetes-manifests-etcd.yaml,Port-10250,Swap,SystemVerificatio

	{
	"workbench.colorTheme": "Mayukai Mirage Gruvbox Darktooth",
	"gitlens.hovers.currentLine.over": "line",
	"gitlens.codeLens.enabled": false,
	"files.associations": {
	"*.nomad": "terraform",
	"*.hcl": "terraform"
	},
	"editor.fontFamily": "'Iosevka', 'monospace', monospace, 'Droid Sans Fallback'",
	"editor.fontWeight": "bold",

	MLFLOW_DB_NAME=mlflow_db
	MLFLOW_DB_PASSWORD=use_vault
	MLFLOW_DB_CONNECTION_URI=postgresql+asyncpg://postgres:${MLFLOW_DB_PASSWORD}@mlflow-db:5432/${MLFLOW_DB_NAME}