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class Car { | |
constructor(outerDi, innerDi, screenHt, screenWd, carDi, obsts) { | |
this.x = | |
0.5 * (screenWd - (innerDi + outerDi) / 2) + round(random() * 80) - 40; // Slight variation in starting x | |
this.y = screenHt / 2 - 5; // Right above the starting line | |
this.angle = -PI / 2; // Facing upward | |
//Dimensions for later usage | |
this.carDi = carDi; |
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<head> | |
<!-- Load in Tensorflow, P5, and our Car Class--> | |
<script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@2.0.0/dist/tf.min.js"></script> | |
<script | |
src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.1.9/p5.min.js" | |
integrity="sha512-WIklPM6qPCIp6d3fSSr90j+1unQHUOoWDS4sdTiR8gxUTnyZ8S2Mr8e10sKKJ/bhJgpAa/qG068RDkg6fIlNFA==" | |
crossorigin="anonymous" | |
></script> | |
<script src="car.js"></script> |
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<div id="rasa-chat-widget" data-websocket-url="https://your-rasa-url-here/"></div> | |
<script src="https://unpkg.com/@rasahq/rasa-chat" type="application/javascript"></script> |
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import { aui } from './helper/jest.setup'; | |
describe('jest with askui', () => { | |
it('should click on text', async () => { | |
await aui | |
.click() | |
.text() | |
.exec(); | |
}); | |
}); |
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import speech_recognition as sr | |
import pyttsx3 | |
import random | |
from datetime import datetime | |
import os | |
engine = pyttsx3.init() | |
voices = engine.getProperty('voices') | |
engine.setProperty('voice', voices[0].id) |
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import random | |
p = 520 | |
g = 4 | |
class Person: | |
def __init__(self, name): | |
self.name = name | |
self.priv_key = random.randint(500, 4000) | |
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import './App.css'; | |
import {useEffect, useState} from 'react' | |
function App() { | |
const [orig, setOrig] = useState("") | |
const [redact, setRedact] = useState("") | |
const [guess, setGuess] = useState("") | |
const [guessCt, setGCt] = useState(0) | |
const [qa, setQA] = useState({q: "What is foo(3, 4)?", a: "5"}) | |
const [aGuess, setAG] = useState("") | |
const blurCode = (str) => { |
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function foo(x, y) { | |
let xSquared = x * x | |
let ySquared = y * y | |
return Math.sqrt( xSquared + ySquared ) | |
} |
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async function loadSnippyly() { | |
await Snippyly.init("<Your API Key Goes Here>"); | |
const presenceElement = Snippyly.getPresenceElement(); | |
presenceElement.getOnlineUsersOnCurrentDocument().subscribe((data) => { | |
console.log('getOnlineUsersOnCurrentDocument in html', data); | |
}); | |
// To enable text comment feature |
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<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<style> | |
.box-container { | |
display: flex; | |
flex-wrap: wrap; | |
} | |
.box { |