wehub-resource-sync
73 lines
2.3 KiB
JavaScript
73 lines
2.3 KiB
JavaScript
import test from 'tape'
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import nlp from '../_lib.js'
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const here = '[three/sentence-misc] '
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test('misc sentences', function (t) {
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let doc = nlp(`quickly, suddenly`)
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t.equal(doc.sentences().length, 1, here + 'found one sentence')
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doc = nlp(`john, bill, and joe. Here we go. Must be three now.`)
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t.equal(doc.sentences().length, 3, here + 'found three sentences')
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const d = nlp(`i am good`)
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const s = d.sentences()
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s.replace('am', 'was')
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t.equal(d.text(), 'i was good', here + 'tricky map replace bug')
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t.end()
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})
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test('full sentence', function (t) {
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const doc = nlp(`john, bill, and joe. Here we go. Must be three now.`)
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const m = doc.match('we')
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t.equal(m.sentences().text(), 'Here we go.', here + 'found full sentence')
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t.end()
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})
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test('sentence prepend', function (t) {
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let doc = nlp('He is cool.')
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doc.sentences().prepend('so i think')
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t.equal(doc.text(), 'So i think he is cool.', here + 'reset titlecase')
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doc = nlp('Spencer is cool.')
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doc.sentences().prepend('yeah')
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t.equal(doc.text(), 'Yeah Spencer is cool.', here + 'leave propernoun titlecase')
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t.end()
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})
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test('sentence filters', function (t) {
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const doc = nlp('He is cool? I think not. Yipeee!').sentences()
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t.equal(doc.isExclamation().length, 1, here + 'has-exclamation')
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t.equal(doc.isQuestion().length, 1, here + 'has-question')
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t.equal(doc.isStatement().length, 1, here + 'has-statement')
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t.end()
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})
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test('sentence append', function (t) {
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let doc = nlp('Spencer is cool.')
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doc.sentences().append('i think')
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t.equal(doc.text(), 'Spencer is cool i think.', here + 'move period')
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doc = nlp('Spencer is cool?')
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doc.sentences().append('i think')
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t.equal(doc.text(), 'Spencer is cool i think?', here + 'move question-mark')
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doc = nlp('Spencer is cool!')
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doc.sentences().append('i think')
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t.equal(doc.text(), 'Spencer is cool i think!', here + 'move exclamation-mark')
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t.end()
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})
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// test('sentence append - change', function (t) {
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// let doc = nlp('i am cool. it is raining!')
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// doc.sentences().append('right?')
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// t.equal(doc.text(), 'i am cool right? it is raining right?', 'change ending')
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// doc = nlp('it is cool? it is raining?')
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// doc.sentences(0).append('for sure. ')
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// t.equal(doc.all().text(), 'it is cool for sure. it is raining?', 'change ending 2')
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// t.end()
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// })
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