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import Link from 'next/link'
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import {
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documents,
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authors,
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topics as topicsList,
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affiliations,
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} from './db/data'
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import { epoch2datestring } from './utils/epoch2datestring'
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import News from './components/News'
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export default function Home() {
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const RandomDocs = (): React.ReactNode[] => {
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// Convert the object keys into an array
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const keys = Object.keys(documents)
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// Determine the number of keys to process (all if fewer than 10)
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const numKeysToProcess = keys.length < 10 ? keys.length : 10
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// Shuffle the keys array if there are more than 10 keys
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if (keys.length > 10) {
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for (let i = keys.length - 1; i > 0; i--) {
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const j = Math.floor(Math.random() * (i + 1))
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;[keys[i], keys[j]] = [keys[j], keys[i]]
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}
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}
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// Select keys based on numKeysToProcess
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const selectedKeys = keys.slice(0, numKeysToProcess)
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// Iterate over each of the selected keys
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return selectedKeys.map((key, index) => {
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const { title, dates, type, topics } = documents[key].manifest
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let dateString = epoch2datestring(dates[dates.length - 1])
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let typeString = ''
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switch (type) {
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case 'report':
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typeString = 'report'
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break
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case 'presentation':
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typeString = 'presentation'
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break
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case 'white paper':
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typeString = 'white paper'
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break
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case 'datasheet':
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typeString = 'datasheet'
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break
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case 'dwm':
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typeString = 'DWM'
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break
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case 'other':
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typeString = 'document'
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break
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}
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return (
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<div key={index}>
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<Link href={`/document/view/${key}`}>{title}</Link>, a {typeString}{' '}
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about {topicsList[topics[0]]['name']} published on {dateString}
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.
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<br />
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</div>
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)
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})
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}
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const AuthorDisplay = () => {
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return Object.entries(authors).map(([author, data], index) => {
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let affiliationSlug = data.affiliation[0].split('@')[1]
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let affiliation = affiliations[affiliationSlug]
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return (
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<div key={index}>
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<Link href={`/author/${author}`}>
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{data.name.first}
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{data.name.nickname ? ` "${data.name.nickname}" ` : ' '}
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{data.name.last}
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</Link>{' '}
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of{' '}
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<Link href={`/affiliation/${affiliationSlug}`}>
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{affiliation.short}
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</Link>
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</div>
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)
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})
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}
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return (
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<div className='text-slate-800 flex flex-wrap md:flex-row justify-center'>
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<p className='font-serif text-lg basis-full md:basis-1/2 grow mr-1 text-balance'>
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eeXiv<sup>2</sup>, like arXiv, is a free distribution service and an
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open-access archive for nearly {Object.keys(documents).length} scholarly
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articles in the fields of physics, mathematics, computer science,
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quantitative biology, quantitative finance, statistics, electrical
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engineering and systems science, and economics, but mainly related to
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the{' '}
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<Link
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href='https://en.wikipedia.org/wiki/FIRST_Robotics_Competition'
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target='_blank'
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>
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FIRST Robotics Competition (FRC)
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</Link>
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. Materials on this site may be published independently through other
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channels. Read more about us <Link href='/about'>here</Link>.
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</p>
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<News />
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<div className='grid grid-cols-1 space-y-2 mt-4 basis-full'>
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<hr className='mx-auto w-full h-1 border-0 bg-slate-200 my-2 rounded-md' />
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<span className='font-serif text-xl'>
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Selected documents in various disciplines
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</span>
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<RandomDocs />
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<hr className='mx-auto w-full h-1 border-0 bg-slate-200 my-2 rounded-md' />
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<span className='font-serif text-xl'>
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Our esteemed faculty and alumni
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</span>
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<AuthorDisplay />
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</div>
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</div>
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)
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}
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