wehub-resource-sync
69 lines
3.3 KiB
JavaScript
69 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/clauses] '
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test('clauses-count', function (t) {
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const arr = [
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['In fact, you are the most beautiful', 2],
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['And this July, we will begin to bring our troops home.', 2],
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['And keep ya cup, we drink whole bottles', 2],
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[`I think I'm gonna stay here.. I desperately need to pack`, 2],
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['and if time and budget permits, make cute little thank-you bags for your friends.', 2],
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[`Located at the mouth of the Demerara River, it's the capital & largest city`, 2],
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[`For the most part, I really like this Starbucks.`, 2],
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[`I'm telling you, she gives the worst massages ever!!`, 2],
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[`Emily won't let Ross see Rachel, we're not gonna stop seeing Rachel, hence Ross stops seeing us!`, 3],
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[`More than anyone else in our society, they know the true difficulty`, 2],
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[`Dear ladies and gentlemen, im organising a trip to ily `, 2],
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[`According to some sources, his heart remained at Missolonghi.`, 2],
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[`After the 1979 electoral defeat of the Labour Party, she took over for Prime Minister James Callaghan`, 2],
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[`Robinsonade is not a refreshing drink, it's a novel similar in theme`, 2],
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[`this might be a convenient stop, I highly encourage you to take it`, 2],
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[`Thanks again to Lisa, she is the best!`, 2],
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[`Off he flew; and there he was`, 2],
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[`to cut spending, we're going to have to do more`, 2],
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[`Just look at them I mean, is it okay if they come visit?`, 2],
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// single
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[`Make sure you look clean, neat, and groomed at all times.`, 1],
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['but, no thank you', 1],
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[`Use quinoa in any place you’d use lentils, corn, millet, rice, or pasta.`, 1],
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[`These are the steps I used.`, 1],
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[`actually, that's the shirt`, 1],
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[`we can help the world if Congress gives us the means `, 2],
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// [``, 2],
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// [``, 2],
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// [``, 2],
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// "Stances include regular, goofy foot & this one ",
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// "He got in touch with me last night and wants me to meet him today at 2 pm",
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]
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arr.forEach(function (a) {
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const clauses = nlp(a[0]).clauses()
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t.equal(clauses.length, a[1], here + '[number of clauses] ' + a[0])
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})
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t.end()
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})
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test('clauses', function (t) {
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const arr = [
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// ['string', ['expected clauses', 'in an array']]
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['fun, cool, etc...', ['fun, cool, etc...']],
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['cool, and fun', ['cool, and fun']],
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['one, two, and three', ['one, two, and three']],
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['just one clause here!', ['just one clause here!']],
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['if you must, go to the basement', ['if you must,', 'go to the basement']],
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['an apple, washed and dried', ['an apple,', 'washed and dried']],
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['one thing, at a time. and then another, right afterwards', ['one thing,', 'at a time.', 'and then another,', 'right afterwards']],
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['oh and something else, too', ['oh and something else, too']],
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['tuesday, march 2nd', ['tuesday, march 2nd']],
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['toronto, canada', ['toronto, canada']],
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['june 6, 1992', ['june 6, 1992']],
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// ['In fact, you are the most beautiful', ['in fact', 'you are the most beautiful']]
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]
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arr.forEach(function (a) {
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const clauses = nlp(a[0]).clauses().out('array')
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t.equal(clauses.length, a[1].length, here + '[number of clauses] ' + a[0])
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t.deepEqual(clauses, a[1], here + '[clause content] ' + a[0])
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})
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t.end()
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}) |