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#Git notes

Warning : Support for isplay of git notes has been dropped by github : https://github.com/blog/707-git-notes-display

Resource : https://vimeo.com/34273537

##Add

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What forces layout / reflow

All of the below properties or methods, when requested/called in JavaScript, will trigger the browser to synchronously calculate the style and layout*. This is also called reflow or layout thrashing, and is common performance bottleneck.

Generally, all APIs that synchronously provide layout metrics will trigger forced reflow / layout. Read on for additional cases and details.

Element APIs

Getting box metrics

elem.offsetLeft, elem.offsetTop, elem.offsetWidth, elem.offsetHeight, elem.offsetParent

To be ran with:

model: claude-3-opus-20240229
temperature: 0.0

Context: https://twitter.com/VictorTaelin/status/1776677635491344744

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Code

Python development environment setup on Chromebook

Check for updates

Do this first!

sudo apt-get update && sudo apt-get dist-upgrade

	#include <iostream>
	#include <fstream>
	#include <cstdlib> // For rand() and srand()
	#include <ctime> // For time()
	#include <string>
	#include <vector>

	const int MAX_WIDTH = 50;
	const int MAX_HEIGHT = 40;
	const int MAX_FIRE_DISTANCE = 10;

	import { useEffect, useRef, useState } from 'react';
	import { useFrame, useThree } from '@react-three/fiber';
	import { MapControls, OrthographicCamera, PerspectiveCamera } from '@react-three/drei';
	import type { OrbitControls as OrbitControlsImpl } from 'three-stdlib';

	export function Camera() {
	const [oldType, setOldType] = useState('PerspectiveCamera');
	const [coords, setCoords] = useState({ x: 0, y: 0 });

	const gl = useThree((state) => state.gl);

	#
	# Montador ridiculamente simples para Assembly de Sagui Vetorial.
	# Escreve arquivos no formato hex do Logisim Evolution.
	# (Informações sobre a licença abaixo)
	# (Licensing information below)
	#
	# DÚVIDAS:
	#
	# - Como eu uso essa desgraça?
	#

	#!/usr/bin/env python

	import math
	import matplotlib.pyplot as plt
	import torch
	import torch.nn as nn

	from sklearn.datasets import make_moons
	from torch import Tensor
	from tqdm import tqdm

	import { useEffect, useRef } from 'react'

	// playground: https://stackblitz.com/edit/react-ts-nv5fxe?file=App.tsx

	export default function App() {

	// create a ref and declare an instance for each countUp animation
	const countupRef = useRef(null);
	let countUpAnim;