Blazej Gruszka bgruszka

🗺️ OSM - self host the entire planet 🌎 in ~30 minutes 🚀

TL;DR

mkdir osm
wget -O osm/planet.mbtiles https://hidrive.ionos.com/api/sharelink/download?id=SYEgScrRe
podman run -ti --rm -p 9000:9000 --name sms -v $(pwd)/osm/:/data/ registry.gitlab.com/markuman/sms:latest
firefox http://localhost:9000

Storybook Docs w/ CRA & TypeScript

This is a quick-and-dirty walkthrough to set up a fresh project with Storybook Docs, Create React App, and TypeScript. If you're looking for a tutorial, please see Design Systems for Developers, which goes into much more depth but does not use Typescript.

The purpose of this walkthrough is a streamlined Typescript / Docs setup that works out of the box, since there are countless permutations and variables which can influence docs features, such as source code display, docgen, and props tables.

Step 1: Initialize CRA w/ TS

npx create-react-app cra-ts --template typescript

	import argparse
	import requests
	from langchain.llms import Ollama
	from langchain.document_loaders import WebBaseLoader
	from langchain.text_splitter import RecursiveCharacterTextSplitter
	from langchain.embeddings import GPT4AllEmbeddings
	from langchain.vectorstores import Chroma
	from langchain.chains import RetrievalQA

	def main(args):

	/*
	*
	* Original code by Miononno
	* https://www.youtube.com/watch?v=1kanq1w2DA0
	*
	* Enhanced by unknown @ lteforum.at
	*
	*/

	console.log("Loading ZTE Script v" + "2024-08-31-#1");

	#!/usr/bin/env python3
	"""Prints a PlantUML diagram that shows the DAG of the GitLab pipeline"""

	import sys
	import yaml
	from pprint import pprint

	def merge(user, default):
	if isinstance(user,dict) and isinstance(default,dict):
	for k,v in default.items():

	.terraform/
	*.pem
	*.tf
	*.tfstate
	*.yaml
	*.backup
	istio-*/
	cert-manager-*/
	*.swp
	env

	#! /bin/bash
	for n in {1..100}; do
	dd if=/dev/urandom of=file$( printf %d "$n" ).bin bs=1 count=$(( RANDOM + 1024 ))
	done

Blazej Gruszka bgruszka

🗺️ OSM - self host the entire planet 🌎 in ~30 minutes 🚀

TL;DR

Storybook Docs w/ CRA & TypeScript

Step 1: Initialize CRA w/ TS

Table of Contents

set -e, -u, -x, -o pipefail

	#import necessary libraries
	import cv2
	import numpy as np

	#capture video from the webcam
	cap = cv2.VideoCapture(0)

	#load the face finder
	face_cascade = cv2.CascadeClassifier('/home/sm/Desktop/haarcascade_frontalface_default.xml')