React recently introduced an experimental profiler API. This page gives instructions on how to use this API in a production release of your app.
Table of Contents
| #if defined(ESP32) | |
| #include <WiFiMulti.h> | |
| WiFiMulti wifiMulti; | |
| #define DEVICE "ESP32" | |
| #elif defined(ESP8266) | |
| #include <ESP8266WiFiMulti.h> | |
| ESP8266WiFiMulti wifiMulti; | |
| #define DEVICE "ESP8266" | |
| #endif | 
| version: "3.8" | |
| services: | |
| # When scaling the opal-server to multiple nodes and/or multiple workers, we use | |
| # a *broadcast* channel to sync between all the instances of opal-server. | |
| # Under the hood, this channel is implemented by encode/broadcaster (see link below). | |
| # At the moment, the broadcast channel can be either: postgresdb, redis or kafka. | |
| # The format of the broadcaster URI string (the one we pass to opal server as `OPAL_BROADCAST_URI`) is specified here: | |
| # https://github.com/encode/broadcaster#available-backends | |
| broadcast_channel: | |
| image: postgres:alpine | 
| """ | |
| you may run this example with uvicorn, by using this command: | |
| uvicorn opalogger:app --reload | |
| """ | |
| import gzip | |
| from typing import Callable, List | |
| from fastapi import Body, FastAPI, Request, Response | 
| // Reference: http://stackoverflow.com/questions/4822471/count-number-of-lines-in-a-git-repository | |
| $ git ls-files | xargs wc -l | 
| """ | |
| Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
| BSD License | |
| """ | |
| import numpy as np | |
| # data I/O | |
| data = open('input.txt', 'r').read() # should be simple plain text file | |
| chars = list(set(data)) | |
| data_size, vocab_size = len(data), len(chars) | 
| from math import sqrt | |
| import torch | |
| from tqdm import tqdm | |
| import matplotlib.pyplot as plt | |
| import networkx as nx | |
| from torch_geometric.nn import MessagePassing | |
| from torch_geometric.data import Data | |
| from torch_geometric.utils import k_hop_subgraph, to_networkx | |
| import numpy as np | 
| <link rel="shortcut icon" width=32px> | |
| <canvas style="display: none" id="loader" width="16" height="16"></canvas> | |
| <script> | |
| class Loader { | |
| constructor(link, canvas) { | |
| this.link = link; | |
| this.canvas = canvas; | |
| this.context = canvas.getContext('2d'); | |
| this.context.lineWidth = 2; | 
React recently introduced an experimental profiler API. This page gives instructions on how to use this API in a production release of your app.
Table of Contents
| # to generate your dhparam.pem file, run in the terminal | |
| openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048 | 
| 'use strict'; | |
| const crypto = require('crypto'); | |
| const ENCRYPTION_KEY = process.env.ENCRYPTION_KEY; // Must be 256 bits (32 characters) | |
| const IV_LENGTH = 16; // For AES, this is always 16 | |
| function encrypt(text) { | |
| let iv = crypto.randomBytes(IV_LENGTH); | |
| let cipher = crypto.createCipheriv('aes-256-cbc', Buffer.from(ENCRYPTION_KEY), iv); |