Zhang Yang ExpandOcean

Orthogonal Connectors

This algorithm returns the points that form an orthogonal path between two rectangles.

// Define shapes
const shapeA = {left: 50,  top: 50, width: 100, height: 100};
const shapeB = {left: 200, top: 200, width: 50, height: 100};

[x] Tested

const canvas = document.getElementById('myCanvas');
const context = canvas.getContext('2d');
const points = [
 {x: 100, y: 100},

You might want to read this to get an introduction to armel vs armhf.

If the below is too much, you can try Ubuntu-ARMv7-Qemu but note it contains non-free blobs.

First, cross-compile user programs with GCC-ARM toolchain. Then install qemu-arm-static so that you can run ARM executables directly on linux

If there's no qemu-arm-static in the package list, install qemu-user-static instead

This is an unofficial manual for the couchdb Python module I wish I had had.

pip install couchdb

	#!/bin/bash

	# MIT License
	# Copyright (c) 2022-present MoyuScript
	# See: https://mit-license.org/

	echo "Input path: $1"
	echo "With subset: $2"
	echo "Custom text file: $3"

	figma.showUI(__html__,{width: 250, height: 250});
	// restore previous size
	figma.clientStorage.getAsync('size').then(size => {
	if(size) figma.ui.resize(size.w,size.h);
	}).catch(err=>{});
	figma.ui.onmessage = msg => {
	switch (msg.type) {
	case "resize":
	figma.ui.resize(msg.size.w,msg.size.h);
	figma.clientStorage.setAsync('size', msg.size).catch(err=>{});// save size

	Last Updated: 7 May 2025
	------------------------
	In this package, you will find a brief introduction to the Scripting API for DaVinci Resolve Studio. Apart from this README.txt file, this package contains folders containing the basic import
	modules for scripting access (DaVinciResolve.py) and some representative examples.

	From v16.2.0 onwards, the nodeIndex parameters accepted by SetLUT() and SetCDL() are 1-based instead of 0-based, i.e. 1 <= nodeIndex <= total number of nodes.

	Overview
	--------
	As with Blackmagic Fusion scripts, user scripts written in Lua and Python programming languages are supported. By default, scripts can be invoked from the Console window in the Fusion page,

	#!/usr/bin/env python3

	import numpy as np
	from PIL import Image
	import imageio
	import OpenEXR
	import struct
	import os

	def get_pointcloud(color_image,depth_image,camera_intrinsics):

	'use strict'

	const password = 'secure secret key'

	const encrypt = (content, password) => CryptoJS.AES.encrypt(JSON.stringify({ content }), password).toString()
	const decrypt = (crypted, password) => JSON.parse(CryptoJS.AES.decrypt(crypted, password).toString(CryptoJS.enc.Utf8)).content

	// Encrypt
	const encryptedString = encrypt('This is a string', password)
	const encryptedObject = encrypt({ test: 'This is an object' }, password)

	#!/usr/bin/env python3

	from v4l2 import *
	import fcntl
	import mmap
	import select
	import time

	vd = open('/dev/video0', 'rb+', buffering=0)