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pragma solidity ^0.5.0;

library Adder {
  function add(uint self, uint b) public pure returns (uint) {
    return self + b;
  }
}

contract Example {

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$(document).ready(function (){
  // Get the image and canvas nodes
  var img = $('#original_image')[0];
  var canvas = $('#original_canvas')[0];

  // confirm that the image has loaded
  img.addEventListener("load", function() {
    // set the canvas dimensions
    canvas.width = img.width;
    canvas.height = img.height;

cgcardona

require("@nomiclabs/hardhat-waffle");
require("@nomiclabs/hardhat-ethers");

// This is a sample Hardhat task. To learn how to create your own go to
// https://hardhat.org/guides/create-task.html
task("accounts", "Prints the list of accounts", async () => {
  const accounts = await ethers.getSigners();

  for (const account of accounts) {
    console.log(account.address);

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import { Avalanche, BN, Buffer } from "avalanche/dist"
import {
  AVMAPI,
  KeyChain,
  UTXOSet,
  UnsignedTx,
  Tx,
  KeyPair,
  SelectCredentialClass
} from "avalanche/dist/apis/avm"

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Generating a new keypair

TODO

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When you have a type which is an array of objects you can access the object's properties by using the dot notation. For example:

let foo = {
  arrKey: [{key: "value"}]
}

foo.arrKey[0].key // "value"

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import { Avalanche, BN, Buffer } from "avalanche/dist"
import {
  AVMAPI,
  KeyChain,
  UTXOSet,
  UnsignedTx,
  Tx
} from "avalanche/dist/apis/avm"
import {
  GetBalanceResponse,

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# all the imports
import torch, time, math, os

# import specified modules
from torch import autocast
from diffusers import StableDiffusionPipeline

# confirm GPU supports the NVIDIA machine learning toolkit
assert torch.cuda.is_available()
# Stable Diffusion v1.4: CompVis/stable-diffusion-v1-4

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# all the imports
import io, torch, time, math, os

# import specified modules
from flask import Flask, request, send_file
from torch import autocast
from diffusers import StableDiffusionPipeline

# create a new flask app
app = Flask(__name__)

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Exposing a port to the Web and port forwarding on EC2

By default a new AWS EC2 instance only exposes port 22 to the Web to enable accessing the new EC2 instance via ssh. Often it's helpful to open other ports to the Web so that you can access them via a browser. This tutorial shows 2 different ways of exposing ports on AWS EC2 instances.

Additionally if you're not interested in exposing a port to the Web but would still like to access it via your browser you can use port forwarding in VS Code which is covered in the final section below.

Exposing a port to the Web on an AWS instance

When launching a new EC2 instance, fill out the following items