wehub-resource-sync
82 lines
3.4 KiB
JavaScript
82 lines
3.4 KiB
JavaScript
import test from 'tape'
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import nlp from '../_lib.js'
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const here = '[one/hyphens] '
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test('nums-punctuation', function (t) {
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const doc = nlp('10-ounce (12-ounce)')
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t.equal(doc.terms().length, 4, here + 'w/ brackets')
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// doc = nlp('2-for-1')
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// t.equal(doc.terms().length, 3, here + 'w/ numbers')
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t.end()
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})
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test('independence', function (t) {
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let doc
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doc = nlp(`The 2015–2016 fiscal year`)
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t.equal(doc.has('2015'), true, here + '2015')
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t.equal(doc.has('2016'), true, here + '2016')
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t.equal(doc.has('20152016'), false, here + 'combined-year')
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doc = nlp(`the cable installation is 1:00–3:00pm.`)
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t.equal(doc.has('1:00'), true, here + '1:00')
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t.equal(doc.has('3:00pm'), true, here + '3:00pm')
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doc = nlp(`pages 101–181 for tonight’s reading`)
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t.equal(doc.has('101'), true, here + '101')
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t.equal(doc.has('181'), true, here + '181')
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t.equal(doc.has('181181'), false, here + 'combined-number')
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doc = nlp(`The pro-choice movement`)
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// t.equal(doc.has('pro'), true, here + 'pro')
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// t.equal(doc.has('choice'), true, here + 'choice')
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t.equal(doc.has('pro-choice'), true, here + 'pro-choice')
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t.equal(doc.has('prochoice'), true, here + 'prochoice')
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t.equal(doc.has('the pro movement'), false, here + 'pro movement')
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doc = nlp('any load-bearing walls ')
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t.equal(doc.has('load'), true, here + 'load')
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t.equal(doc.has('bearing'), true, here + 'bearing')
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t.equal(doc.has('load-bearing walls'), true, here + 'load-bearing')
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// t.equal(doc.has('loadbearing'), true, here + 'loadbearing')
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// t.equal(doc.has('loadbearing walls'), true, here + 'loadbearing walls')
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t.equal(doc.has('load walls'), false, here + 'load walls')
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doc = nlp('a half-baked idea')
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t.equal(doc.has('half'), true, here + 'half')
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t.equal(doc.has('baked'), true, here + 'baked')
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t.equal(doc.has('half-baked idea'), true, here + 'half-baked')
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t.equal(doc.has('half baked idea'), true, here + 'half baked')
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doc = nlp('re-do and reuse')
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t.equal(doc.has('redo'), true, here + 're- one word')
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t.equal(doc.has('re-do'), true, here + 're- dashed word')
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// t.equal(doc.has('re do'), true, here + 'two words')
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t.equal(doc.has('re and'), false, here + 're and')
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doc = nlp('inter-species communication')
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t.equal(doc.has('interspecies'), true, here + 'inter one word')
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t.equal(doc.has('inter-species'), true, here + 'inter dashed word')
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// t.equal(doc.has('inter species'), true, here + 'inter two words')
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t.equal(doc.has('interspecies communication'), true, here + 'interspecies communication')
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t.equal(doc.has('inter communication'), false, here + 'inter communication')
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// unsupported prefix
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doc = nlp('the counter-argument')
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// t.equal(doc.has('counterargument'), true, here + 'counter one word')
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t.equal(doc.has('counter-argument'), true, here + 'counter dashed word')
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t.equal(doc.has('counter argument'), true, here + 'counter two words')
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doc = nlp(`additional non-urgent appointment.`)
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const m = doc.match(`additional non? urgent? appointment`)
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t.equal(m.found, true, here + 'non-urgent')
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t.equal(doc.has('additional non'), true, here + 'additional non')
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// t.equal(doc.has('additional nonurgent'), true, here + 'additional nonurgent')
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t.equal(doc.has('additional non-urgent'), true, here + 'additional non-urgent')
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t.equal(doc.has('additional urgent'), false, here + 'additional urgent')
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t.equal(doc.has('additional appointment'), false, here + 'additional appointment')
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t.end()
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})
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