131 lines
3.3 KiB
JavaScript
131 lines
3.3 KiB
JavaScript
import test from 'tape'
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import nlp from './_lib.js'
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const here = '[three/places] '
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test('known-regions:', function (t) {
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const arr = [
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['i want to go to Ohio to see George Harrison', 'ohio'],
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['we are visiting Gloucestershire, before we leave', 'gloucestershire'],
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['manitoba is nice this time of year', 'manitoba'],
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]
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arr.forEach(function (a) {
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const str = nlp(a[0]).match('#Region').text('normal')
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t.equal(str, a[1], here + a[0])
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})
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t.end()
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})
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test('places-find:', function (t) {
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const arr = [
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['live in the Rekcjd Province', 'rekcjd province'],
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['live in the Lekfjs District', 'lekfjs district'],
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['visiting Tojbs Kjeh Region', 'tojbs kjeh region'],
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['visiting the State of Lkjfhe', 'state of lkjfhe'],
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['see you in West Nunavut', 'west nunavut'],
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['see you in western Hunan', 'western hunan'],
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['see you in Northern Hunan province', 'northern hunan province'],
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['see you in Toronto, Canada', 'toronto canada'],
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['see you in Toronto, Ontario', 'toronto ontario'],
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['I flew to Austin, Texas', 'austin texas'],
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['I flew to San antonio, Texas', 'san antonio texas'],
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]
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arr.forEach(function (a) {
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const str = nlp(a[0]).places(0).text('normal')
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t.equal(str, a[1], here + a[0])
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})
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t.end()
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})
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test('mixed continents-places:', function (t) {
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const doc = nlp('in north africa, eastern asia, guatemala, europe, north america, and japan')
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t.equal(doc.places().length, 6, here + '6-places')
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t.end()
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})
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test('national-monuments:', function (t) {
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const list = [
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"St. Peter's Basilica",
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'Palace of Versailles',
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'Lincoln Memorial',
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'Colosseum',
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'Parthenon',
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'Eiffel Tower',
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'Taj Mahal',
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'Cologne Cathedral',
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'Peterhof Palace',
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'Łazienki Palace',
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// 'Independence National Historical Park',
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// 'Statue of Liberty National Monument',
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'Teotihuacán',
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'Mysore Palace',
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'Tsarskoe Selo State Museum',
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'Pompeii',
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'Wilanów Palace',
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'Schönbrunn Palace',
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'Kazan Kremlin',
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'Tower of London',
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'Alhambra',
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'Chichén Itzá',
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'Topkapı Palace',
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'Chapultepec Castle',
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'Tulum',
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'Edinburgh Castle',
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'Wawel Castle',
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'Arc de Triomphe',
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'Royal Palace of Madrid',
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'Neuschwanstein',
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'Machu Picchu',
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'San Juan National Historic Site',
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'Admiralty Island',
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'Berryessa Snow Mountain',
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'Buck Island Reef',
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'Capulin Volcano',
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'Carrizo Plain',
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'Casa Grande Ruins',
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'Castle Mountains',
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// 'Castner Range',
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'Cedar Breaks',
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'Chiricahua',
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'Colorado',
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'Fort Frederica',
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'Fort Matanzas',
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'Fort McHenry',
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'Fort Monroe',
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'Fort Ord',
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'Fort Pulaski',
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'Fort Stanwix',
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'Fort Union',
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'Mill Springs Battlefield',
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'Misty Fjords',
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'Mojave Trails',
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'Montezuma Castle',
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'Muir Woods',
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'Rainbow Bridge',
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'Río Grande del Norte',
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'Rose Atoll',
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'Russell Cave',
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'San Gabriel Mountains',
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'San Juan Islands',
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'Scotts Bluff',
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'Sonoran Desert',
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'Sunset Crater Volcano',
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'Timpanogos Cave',
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'Tonto',
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'Tule Lake',
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// 'Tule Springs Fossil Beds',
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'Tuzigoot',
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'Upper Missouri River Breaks',
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'Vermilion Cliffs',
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'Virgin Islands Coral Reef',
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'Walnut Canyon',
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'Wupatki',
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'Yucca House',
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]
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list.forEach(str => {
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const doc = nlp(str)
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t.ok(doc.places().found, str)
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})
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t.end()
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})
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