wehub-resource-sync
293 lines
6.7 KiB
TypeScript
293 lines
6.7 KiB
TypeScript
// a smoke-test for our typescipt typings
|
|
import nlp from '../../'
|
|
import tape from 'tape'
|
|
import stats, { StatsMethods } from '../../plugins/stats'
|
|
import dates, { DatesMethods } from '../../plugins/dates'
|
|
import speech, { SpeechMethods } from '../../plugins/speech'
|
|
import speed, { SpeedMethods } from '../../plugins/speed'
|
|
import wiki, { WikiMethods } from '../../plugins/wikipedia'
|
|
nlp.plugin(stats)
|
|
nlp.plugin(dates)
|
|
nlp.plugin(speech)
|
|
nlp.plugin(speed)
|
|
nlp.plugin(wiki)
|
|
|
|
console.log('\n 🥗 - running types-test..\n')
|
|
|
|
tape('misc functions', function (t) {
|
|
let doc = nlp('John and Joe walked to the store')
|
|
let m = doc.filter(s => s.found)
|
|
const b = doc.map(s => s)
|
|
doc.forEach((s) => s)
|
|
const o = doc.find(s => s.found)
|
|
m = doc.some(s => s.found)
|
|
m = doc.random()
|
|
m = doc.all()
|
|
m = doc.eq(0)
|
|
m = doc.first()
|
|
m = doc.firstTerms()
|
|
m = doc.fullSentences()
|
|
m = doc.last()
|
|
m = doc.lastTerms()
|
|
m = doc.none()
|
|
m = doc.slice(0, 1)
|
|
m = doc.terms()
|
|
m = doc.update([])
|
|
m = doc.toView([])
|
|
m = doc.fromText('')
|
|
m = doc.clone()
|
|
const obj = doc.groups()
|
|
let arr = doc.termList()
|
|
const c = doc.wordCount()
|
|
doc.fullPointer
|
|
doc.docs
|
|
doc.pointer
|
|
doc.methods
|
|
doc.model
|
|
doc.hooks
|
|
doc.isView
|
|
doc.found
|
|
doc.length
|
|
|
|
// One
|
|
doc.compute('id')
|
|
// change
|
|
m = doc.toLowerCase()
|
|
m = doc.toUpperCase()
|
|
m = doc.toTitleCase()
|
|
m = doc.toCamelCase()
|
|
m = doc.insertAfter('asdf')
|
|
m = doc.insertBefore('boo')
|
|
m = doc.append('foo')
|
|
m = doc.prepend('foo')
|
|
m = doc.insert('bar')
|
|
m = doc.match('flood').replaceWith('asf')
|
|
m = doc.replace('m', 'woo')
|
|
m = doc.remove('foo')
|
|
m = doc.delete('bar')
|
|
m = doc.pre(' ')
|
|
m = doc.post(' ')
|
|
m = doc.trim()
|
|
m = doc.hyphenate()
|
|
m = doc.dehyphenate()
|
|
m = doc.toQuotations()
|
|
m = doc.toParentheses()
|
|
m = doc.deHyphenate()
|
|
m = doc.toQuotation()
|
|
m = doc.unique()
|
|
m = doc.reverse()
|
|
m = doc.sort()
|
|
m = doc.concat(doc.none())
|
|
// doc.fork()
|
|
|
|
doc.compute('contractions')
|
|
doc.compute('lexicon')
|
|
doc.lookup(['blue jays', 'farmer'])
|
|
|
|
// match
|
|
m = doc.matchOne('#Foo')
|
|
m = doc.match('#Foo')
|
|
const bool = doc.has('#Foo')
|
|
m = doc.if('#Foo')
|
|
m = doc.ifNo('#Foo')
|
|
m = doc.before('#Foo')
|
|
m = doc.after('#Foo')
|
|
m = doc.growLeft('#Foo')
|
|
m = doc.growRight('#Foo')
|
|
m = doc.grow('#Foo')
|
|
m = doc.splitOn('#Foo')
|
|
m = doc.splitBefore('#Foo')
|
|
m = doc.splitAfter('#Foo')
|
|
m = doc.split('#Foo')
|
|
|
|
// output
|
|
const res = doc.out()
|
|
let txt = doc.text()
|
|
txt = doc.text('normal')
|
|
txt = doc.text('machine')
|
|
txt = doc.text('root')
|
|
txt = doc.text('implicit')
|
|
txt = doc.json()
|
|
|
|
// sets
|
|
m = doc.union('blah')
|
|
m = doc.and('blah')
|
|
m = doc.intersection('blah')
|
|
m = doc.difference('blah')
|
|
m = doc.not('blah')
|
|
m = doc.complement('blah')
|
|
m = doc.settle('blah')
|
|
|
|
m = doc.tag('Foo')
|
|
m = doc.tagSafe('Foo')
|
|
m = doc.unTag('Foo')
|
|
m = doc.canBe('Foo')
|
|
|
|
doc.compute('alias')
|
|
doc.compute('normal')
|
|
doc.compute('machine')
|
|
doc.compute('freq')
|
|
doc.compute('offset')
|
|
doc.compute('index')
|
|
doc.compute('wordCount')
|
|
|
|
doc.compute('typeahead')
|
|
doc.autoFill()
|
|
|
|
// sweep
|
|
const matches = [
|
|
{ match: '2nd quarter of? 2022', tag: 'TimePeriod' },
|
|
{ match: '(from|by|before) now', tag: 'FooBar' },
|
|
]
|
|
const net = nlp.buildNet(matches)
|
|
doc = nlp(`so good by now. woo hoo before now. in the 2nd quarter 2022`)
|
|
const sr = doc.sweep(net)
|
|
|
|
// lazy
|
|
doc = nlp.lazy('hello', 'foo')
|
|
|
|
// Two
|
|
doc.compute('contractionTwo')
|
|
m = doc.contractions()
|
|
m = doc.contractions().expand()
|
|
|
|
doc.confidence()
|
|
|
|
doc.compute('preTagger')
|
|
doc.compute('tagRank')
|
|
doc.compute('root')
|
|
doc.compute('penn')
|
|
|
|
m = doc.swap('rock', 'stone', '#Noun')
|
|
|
|
|
|
// Three
|
|
doc.compute('chunks')
|
|
m = doc.chunks()
|
|
m = doc.clauses()
|
|
|
|
// nouns
|
|
let tmp = doc.nouns().parse()
|
|
arr = doc.nouns().json()
|
|
let noun = doc.nouns().isPlural()
|
|
noun = doc.nouns().adjectives()
|
|
noun = doc.nouns().toPlural()
|
|
noun = doc.nouns().toSingular()
|
|
// numbers
|
|
tmp = doc.numbers().parse()
|
|
doc.numbers().get()
|
|
arr = doc.numbers().json()
|
|
let num = doc.numbers().isOrdinal()
|
|
num = doc.numbers().isCardinal()
|
|
num = doc.numbers().toNumber()
|
|
num = doc.numbers().toLocaleString()
|
|
num = doc.numbers().toText()
|
|
num = doc.numbers().toCardinal()
|
|
num = doc.numbers().toOrdinal()
|
|
num = doc.numbers().isEqual()
|
|
num = doc.numbers().greaterThan(3)
|
|
num = doc.numbers().lessThan(3)
|
|
num = doc.numbers().between(3, 4)
|
|
num = doc.numbers().set(2)
|
|
num = doc.numbers().add(3)
|
|
num = doc.numbers().subtract(2)
|
|
num = doc.numbers().increment()
|
|
num = doc.numbers().decrement()
|
|
num = doc.percentages().json()
|
|
num = doc.money().json()
|
|
num = doc.fractions().json()
|
|
|
|
// sentences
|
|
let s = doc.sentences().toPastTense()
|
|
s = doc.sentences().toPresentTense()
|
|
s = doc.sentences().toFutureTense()
|
|
s = doc.sentences().toInfinitive()
|
|
s = doc.sentences().toNegative()
|
|
s = doc.questions()
|
|
|
|
// verbs
|
|
// arr = doc.verbs().parse()
|
|
arr = doc.verbs().json()
|
|
const sj = doc.verbs().subjects()
|
|
let vb = doc.verbs().isSingular()
|
|
vb = doc.verbs().isPlural()
|
|
vb = doc.verbs().isImperative()
|
|
vb = doc.verbs().toInfinitive()
|
|
vb = doc.verbs().toPresentTense()
|
|
vb = doc.verbs().toPastTense()
|
|
vb = doc.verbs().toFutureTense()
|
|
vb = doc.verbs().toGerund()
|
|
vb = doc.verbs().conjugate()
|
|
vb = doc.verbs().isNegative()
|
|
vb = doc.verbs().isPositive()
|
|
vb = doc.verbs().toPositive()
|
|
vb = doc.verbs().toNegative()
|
|
|
|
// misc
|
|
m = doc.redact()
|
|
m = doc.topics()
|
|
m = doc.organizations()
|
|
tmp = doc.people().parse()
|
|
arr = doc.people().json()
|
|
m = doc.places()
|
|
|
|
m = doc.quotations()
|
|
m = doc.quotations().strip()
|
|
m = doc.parentheses()
|
|
m = doc.parentheses().strip()
|
|
m = doc.possessives()
|
|
m = doc.possessives().strip()
|
|
|
|
t.ok(true)
|
|
t.end()
|
|
})
|
|
|
|
tape('plugin-date', function (t) {
|
|
const doc = nlp<DatesMethods>('foo bar baz')
|
|
const a = doc.dates()
|
|
const b = doc.times()
|
|
const c = doc.durations()
|
|
|
|
let m = doc.dates().match('foo')
|
|
m = doc.dates().format('foo')
|
|
const arr = doc.dates().get()
|
|
// doc.dates().floob()
|
|
// doc.floob()
|
|
t.end()
|
|
})
|
|
|
|
tape('plugin-speech', function (t) {
|
|
const doc = nlp<SpeechMethods>('foo bar baz')
|
|
let arr = doc.syllables()
|
|
arr = doc.soundsLike()
|
|
t.end()
|
|
})
|
|
|
|
tape('plugin-speed', function (t) {
|
|
const doc = nlp<SpeedMethods>('foo bar')
|
|
// nlp.workerPool()
|
|
doc.match('foo')
|
|
t.end()
|
|
})
|
|
|
|
tape('plugin-stats', function (t) {
|
|
const doc = nlp<StatsMethods>('foo bar baz. foo')
|
|
let arr = doc.ngrams()
|
|
arr = doc.ngrams()
|
|
arr = doc.unigrams()
|
|
arr = doc.bigrams()
|
|
arr = doc.trigrams()
|
|
arr = doc.startgrams()
|
|
arr = doc.endgrams()
|
|
arr = doc.edgegrams()
|
|
const res = doc.tfidf()
|
|
t.end()
|
|
})
|
|
|
|
tape('plugin-wikipedia', function (t) {
|
|
const doc = nlp<WikiMethods>('foo bar baz. foo')
|
|
const wp = doc.wikipedia()
|
|
t.end()
|
|
})
|
|
|