wehub-resource-sync
89 lines
2.7 KiB
JavaScript
89 lines
2.7 KiB
JavaScript
import test from 'tape'
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import nlp from '../_lib.js'
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const here = '[two/freeze-lex] '
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test('internal freezeLex', function (t) {
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const arr = [
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['tiger woods', 'Person'],
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['houston astros', 'SportsTeam'],
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['top notch', 'Adjective'],
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['cold war', 'Noun'],
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['excuse me', 'Expression'],
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['chick fil-a', 'Organization'],
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['financial times', 'Organization'],
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['guns n roses', 'Organization'],
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['la z boy', 'Organization'],
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['labour party', 'Organization'],
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// ['new kids on the block', 'Organization'],
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['new york times', 'Organization'],
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['the guess who', 'Organization'],
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['thin lizzy', 'Organization'],
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['prime minister', 'Actor'],
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['free market', 'Singular'],
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['lay up', 'Singular'],
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['living room', 'Singular'],
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['spin off', 'Singular'],
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['appeal court', 'Uncountable'],
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['cold war', 'Uncountable'],
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['gene pool', 'Uncountable'],
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['machine learning', 'Uncountable'],
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['nail polish', 'Uncountable'],
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['time off', 'Uncountable'],
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['take part', 'Infinitive'],
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['bill gates', 'Person'],
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['doctor who', 'Person'],
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['he man', 'Person'],
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['iron man', 'Person'],
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['kid cudi', 'Person'],
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['run dmc', 'Person'],
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['rush limbaugh', 'Person'],
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['snow white', 'Person'],
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['brand new', 'Adjective'],
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['en route', 'Adjective'],
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['off guard', 'Adjective'],
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['on board', 'Adjective'],
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['so called', 'Adjective'],
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['spot on', 'Adjective'],
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['straight forward', 'Adjective'],
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['super duper', 'Adjective'],
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['tip top', 'Adjective'],
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['top notch', 'Adjective'],
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['up to date', 'Adjective'],
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['win win', 'Adjective'],
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['atlanta united', 'SportsTeam'],
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// ['try in', 'PhrasalVerb'],
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// ['try off', 'PhrasalVerb'],
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// ['try on', 'PhrasalVerb'],
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// ['try out', 'PhrasalVerb'],
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['iron maiden', 'ProperNoun'],
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['new york state', 'Region'],
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['prince edward island', 'Region'],
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["cote d'ivoire", 'Country'],
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['isle of man', 'Country'],
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['united states', 'Country'],
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['u.s. virgin islands', 'Country'],
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['united states of america', 'Country'],
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['cedar breaks', 'Place'],
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['cedar falls', 'Place'],
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['point blank', 'Adverb'],
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['tiny bit', 'Adverb'],
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['as soon as', 'Conjunction'],
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['by the time', 'Conjunction'],
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['no matter', 'Conjunction'],
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['will like', 'Verb'],
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['will refine', 'Verb'],
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['took part', 'PastTense'],
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['takes part', 'PresentTense'],
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['taking part', 'Gerund'],
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['will take part', 'Verb'],
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['taken part', 'Participle'],
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]
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arr.forEach(a => {
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const [str, tag] = a
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const doc = nlp(str)
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t.equal(doc.has('^#' + tag + '+$'), true, here + str)
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})
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t.end()
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})
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