wehub-resource-sync
35 lines
1.1 KiB
JavaScript
35 lines
1.1 KiB
JavaScript
import test from 'tape'
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import nlp from '../_lib.js'
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const here = '[two/wordcount] '
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test('==WordCount==', function (t) {
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const arr = [
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['he is good', 3],
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['jack and jill went up the hill.', 7],
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['Mr. Clinton did so.', 4],
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['Bill Clinton ate cheese.', 4],
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['5kb of data.', 3],
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['it was five hundred and seventy two.', 7],
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['jack and jill went up the hill. They got water.', 10],
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['Bill Clinton went walking', 4],
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['Bill Clinton will go walking', 5],
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[`is not isn't. it sure is.`, 6],
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]
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arr.forEach(function (a) {
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const doc = nlp(a[0])
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t.equal(doc.wordCount(), a[1], here + a[0])
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})
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t.end()
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})
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test('match-wordcount', function (t) {
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const doc = nlp("he is cool. she is nice. it isn't here.")
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t.equal(doc.eq(1).wordCount(), 3, here + 'middle-sentence')
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t.equal(doc.match('(he|she)').wordCount(), 2, here + 'he/she match')
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t.equal(doc.match('is').wordCount(), 3, here + 'is-contraction match')
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//i guess!?
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t.equal(doc.match('not').wordCount(), 0, here + 'not-contraction match')
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t.equal(doc.match('not').length, 1, here + 'length-vs-wordCount')
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t.end()
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})
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