ProfAvery

#!/usr/bin/env python3

import math, random

# RSA Key Generation, p. 208
p = int(input('p? '))
q = int(input('q? '))

n = p * q
phi = (p - 1) * (q - 1)

ProfAvery

#!/bin/sh
# compile.sh - multi-arch MinGW build wrapper
# Examples:
#  ./compile.sh test.c
#  ./compile.sh --64 test.c
#  ./compile.sh --64 --dll mydll.c
#  ./compile.sh --32 --windows test.c
#  ./compile.sh --32 --windows --unicode test.c -- -D_DEBUG

set -eu

ProfAvery

all: main.exe hello.dll

main.exe: main.c
        x86_64-w64-mingw32-gcc -o main.exe main.c

hello.dll: hello.c
        x86_64-w64-mingw32-gcc -shared -o hello.dll hello.c

clean:
        rm -f main.exe hello.dll

ProfAvery

CPSC 449 - Web Back-End Engineering

Exercise 1 - Fall 2023

This exercise may be completed individually, or in a pair with another student. If you work with another student, only one of you needs to submit via Canvas.

Exercise

By the end of this exercise you will have written Node.js programs to obtain information from REST and GraphQL APIs for an online music store.

ProfAvery

/* global WebSocket */
const socket = new WebSocket('ws://localhost:8080')

// send message from the form
document.forms.publish.onsubmit = function () {
  const outgoingMessage = this.message.value

  socket.send(outgoingMessage)
  return false
}

ProfAvery

#!/usr/bin/env node

// See https://chatgpt.com/share/67331281-9cec-800b-99fb-c193630dffa1

const http = require('http');
const { URL } = require('url');

const PORT = 8000;
const TARGET_PORT = 65412;
const TARGET_HOST = 'localhost';

ProfAvery

// Prototype pollution, part 1
// See https://learning.oreilly.com/library/view/grokking-web-application/9781633438262/OEBPS/Text/11.html#heading_id_10

const food = {
  munch() {
    console.log('Eating')
  },
}

const sandwich = {

ProfAvery

<!-- Edit to taste, e.g. <HostFolder>s and <MemoryInMB> -->
<Configuration>
  <vGpu>Disable</vGpu>
  <Networking>Disable</Networking>
  <MappedFolders>
    <MappedFolder>
      <HostFolder>C:\Development\cpsc458\tools</HostFolder>
      <SandboxFolder>C:\Users\WDAGUtilityAccount\Desktop\tools</SandboxFolder>
      <ReadOnly>true</ReadOnly>
    </MappedFolder>

ProfAvery

# This goes after the call to LetsPlot.setup_html(),
# but before calling ggplot().

def setup_svg():
  def _repr_svg_(self):
    from io import BytesIO
    from sys import stdout
    file_like = BytesIO()
    self.to_svg(file_like)
    return file_like.getvalue().decode(stdout.encoding)

ProfAvery

<configuration>
  <startup>
    <supportedRuntime version="v4.0" />
  </startup>
</configuration>