Creating a Document Editor with AI and delta changes a faster way.
Instead of replacing the entire document, create transactions that apply specific changes:
// Your chatbot returns structured commands
const chatbotResponse = {
message: "I've added a security section and updated the introduction.",
| import re | |
| import requests | |
| import js2py | |
| def getContent(url): | |
| javascript=js2py.EvalJs() | |
| javascript.eval(requests.get(re.search("(https?://.*?\.[a-zA-Z0-9.]{0,20})",url).group(1)+"/aes.js").text) | |
| return requests.get(url, headers={"Cookie":javascript.eval(re.search("\<script\>(fu.*?;)\<", requests.get(url).text).group(1).replace("document.cookie", "cookie").replace("location.", "")+"cookie")}) | |
| print(getContent("http://krypton-byte.byethost5.com/")) |
| from collections import deque | |
| import heapq | |
| import math | |
| class NQueens: | |
| def __init__(self, N): | |
| self.N = N | |
| self.initial_state = tuple((0, col) for col in range(N)) | |
| def actions(self, state): |
| /** | |
| * Everyone is familiar with a television. It is the object we are going to create in this lab. First we need | |
| a blueprint. All manufacturers have the same basic elements in the televisions they produce as well as | |
| many options. We are going to work with a few basic elements that are common to all televisions. Think | |
| about a television in general. It has a brand name (i.e. it is made by a specific manufacturer). The | |
| television screen has a specific size. It has some basic controls. There is a control to turn the power on | |
| and off. There is a control to change the channel. There is also a control for the volume. At any point in | |
| time, the television’s state can be described by how these controls are set. We will write the television | |
| class. Each object that is created from the television class must be able to hold information about that | |
| instance of a television in fields. So a television object will have the following attributes: |
| #include <iostream> | |
| #include <sstream> | |
| #include <stack> | |
| #include <string> | |
| // Function implementation, not important for this question | |
| double Task3Evaluate(const std::string& expression) { | |
| std::stack<double> operands; | |
| std::istringstream iss(expression); |
| const validWords = ["dog", "dough", "doggy", "doodle", "dig", "door"]; | |
| const bigrams = ["do", "og"]; // Example bigram array | |
| function generateValidWordsFromBigrams(bigrams, validWords) { | |
| const validGeneratedWords = []; | |
| for (const word of validWords) { | |
| const isValid = bigrams.every(bigram => word.includes(bigram)); | |
| if (isValid) { | |
| validGeneratedWords.push(word); |
| { | |
| "scripts": { | |
| "build": "npm run build:es2015 && npm run build:esm && npm run build:cjs && npm run build:umd && npm run build:umd:min", | |
| "build:es2015": "tsc --module es2015 --target es2015 --outDir dist/es2015", | |
| "build:esm": "tsc --module es2015 --target es5 --outDir dist/esm", | |
| "build:cjs": "tsc --module commonjs --target es5 --outDir dist/cjs", | |
| "build:umd": "rollup dist/esm/index.js --format umd --name YourLibrary --sourceMap --output dist/umd/yourlibrary.js", | |
| "build:umd:min": "cd dist/umd && uglifyjs --compress --mangle --source-map --screw-ie8 --comments --o yourlibrary.min.js -- yourlibrary.js && gzip yourlibrary.min.js -c > yourlibrary.min.js.gz", | |
| } | |
| } |
| const io = require('socket.io-client'); | |
| const socket = io('http://localhost:3000', { | |
| transportOptions: { | |
| polling: { | |
| extraHeaders: { | |
| 'Authorization': 'Bearer abc', | |
| }, | |
| }, | |
| }, |
| #!/bin/bash | |
| # Reference: http://stdioe.blogspot.com/2012/01/creating-virtual-machine-with.html | |
| VM_NAME="Debian Squeeze 2" | |
| DEBIAN_CD_IMAGE="debian-6.0.7-amd64-netinst.iso" | |
| # Create VM | |
| VBoxManage createvm --name "$VM_NAME" --ostype Debian_64 --register | |
| # VM Settings |