wehub-resource-sync
258 lines
6.6 KiB
JavaScript
258 lines
6.6 KiB
JavaScript
import test from 'tape'
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import nlp from '../_lib.js'
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const here = '[three/number-value] '
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test('value-lumper-splitter:', function (t) {
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let r = nlp('202 199')
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t.equal(r.values().length, 2, here + 'two-numbers')
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r = nlp('two hundred and fifty times six')
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t.equal(r.values().length, 2, here + 'two-numbers2')
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r = nlp('one two')
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t.equal(r.values().length, 2, here + 'two-numbers3')
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r = nlp('fifth ninth')
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t.equal(r.values().length, 2, here + 'two-numbers4')
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t.end()
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})
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test('value-basic:', function (t) {
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const r = nlp('third month of 2019')
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r.values().toNumber()
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t.equal(r.out(), '3rd month of 2019', here + 'toNumber')
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r.values().toText()
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t.equal(r.out(), 'third month of two thousand and nineteen', here + 'toText')
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// r = nlp('third month of two thousand and nineteen')
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// r.values().toCardinal()
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// t.equal(r.out(), 'three months of two thousand and nineteen', here + 'toCardinal')
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// r = nlp('three months of two thousand nineteen')
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// r.values().toOrdinal()
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// t.equal(r.out(), 'third month of two thousand and nineteenth', here + 'toOrdinal')
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// r.values()
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// .toNumber()
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// .all()
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// t.equal(r.out(), '3rd month of 2019th', here + 'toNumber2')
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t.end()
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})
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test('value-to_ordinal:', function (t) {
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const arr = [
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[11, '11th'],
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[5, '5th'],
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[22, '22nd'],
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]
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arr.forEach(function (a) {
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const str = nlp(a[0])
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.values()
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.toOrdinal()
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.out('normal')
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t.equal(str, a[1], here + a[0])
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})
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t.end()
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})
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test('value-number:', function (t) {
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const arr = [
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['five hundred feet', 500],
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['fifty square feet', 50],
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['90 hertz', 90],
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// ['5 six-ounce containers', 5],
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['twelve 2-gram containers', 12],
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['thirty-seven forever-21 stores', 37],
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]
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arr.forEach(function (a) {
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const str = nlp(a[0])
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.values()
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.toNumber()
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.terms(0)
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.first()
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.out('normal')
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a[1] = String(a[1])
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t.equal(str, a[1], here + a[0])
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})
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t.end()
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})
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test('add/subtract:', function (t) {
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let r = nlp('beginning of 2019')
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.values()
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.add(2)
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.all()
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t.equal(r.out(), 'beginning of 2021', here + 'add-2-cardinal')
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r = nlp('beginning of the 2019th')
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.values()
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.add(2)
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.all()
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t.equal(r.out(), 'beginning of the 2021st', here + 'add-2-ordinal')
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r = nlp('beginning of the 2019th')
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.values()
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.add(-2)
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.all()
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t.equal(r.out(), 'beginning of the 2017th', here + 'add-minus-2-ordinal')
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r = nlp('beginning of 2019')
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.values()
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.subtract(2)
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.all()
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t.equal(r.out(), 'beginning of 2017', here + 'subtract-2-cardinal')
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r = nlp('beginning of the 2019th')
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.values()
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.subtract(2)
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.all()
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t.equal(r.out(), 'beginning of the 2017th', here + 'subtract-2-ordinal')
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r = nlp('seventeen years old')
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.values()
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.add(2)
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.all()
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t.equal(r.out(), 'nineteen years old', here + 'text-add-2-ordinal')
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r = nlp('seventeenth birthday')
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.values()
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.add(2)
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.all()
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t.equal(r.out(), 'nineteenth birthday', here + 'text-add-2-ordinal')
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r = nlp('seventeen years old')
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.values()
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.subtract(2)
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.all()
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t.equal(r.out(), 'fifteen years old', here + 'text-subtract-2-cardinal')
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r = nlp('seventeenth birthday')
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.values()
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.subtract(2)
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.all()
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t.equal(r.out(), 'fifteenth birthday', here + 'text-subtract-2-cardinal')
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r = nlp('seven apples and 1,231 peaches')
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.values()
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.add(50)
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.all()
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t.equal(r.out(), 'fifty seven apples and 1,281 peaches', here + 'two-add-50s')
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t.end()
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})
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test('increment:', function (t) {
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let r = nlp('seven apples and 231 peaches')
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r.values().increment()
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t.equal(r.out(), 'eight apples and 232 peaches', here + 'increment-cardinal')
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r.values().decrement()
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t.equal(r.out(), 'seven apples and 231 peaches', here + 'decrement-cardinal')
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r = nlp('seventh place and 12th place')
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r.values()
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.increment()
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.increment()
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t.equal(r.out(), 'ninth place and 14th place', here + 'increment-ordinal')
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r.values()
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.decrement()
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.decrement()
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t.equal(r.out(), 'seventh place and 12th place', here + 'decrement-ordinal')
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t.end()
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})
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test('number splits', function (t) {
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const arr = ['12, 34, 56', '12 34 56', '12, 34, 56', '1 2 4']
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arr.forEach(str => {
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const tokens = nlp(str)
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.values()
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.out('array')
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t.equal(tokens.length, 3, here + str)
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})
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t.end()
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})
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// test('nounit:', function(t) {
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// let r = nlp('seven apples and 231 peaches')
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// let arr = r.values().out('array')
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// t.deepEqual(arr, ['seven apples', '231 peaches'])
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// arr = r
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// .values()
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// .noUnits()
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// .out('array')
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// t.deepEqual(arr, ['seven', '231'])
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// t.end()
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// })
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// test('value-unit:', function(t) {
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// let arr = [
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// ['five hundred feet', 'feet'],
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// ['fifty hertz', 'hertz'],
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// ['100 dollars', 'dollars'],
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// // ['$100', 'dollar'],
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// // ['¥2.5', 'yen'],
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// // ['€3,000,100', 'euro'],
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// // ['EUR 9.99', 'eur'],
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// // ['5 g', 'g'],
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// // ['2 in', 'in'],
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// // ['5 g sugar', 'g'],
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// ['3 grams', 'grams'],
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// ['2 inches', 'inches'],
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// ['10 grams of sugar', 'grams'],
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// ['fifty inches of snow', 'inches'],
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// ['7 years', 'years'],
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// ['7.5 days', 'days'],
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// ['7th year', 'year'],
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// ['7th years', ''],
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// ['1 day', 'day'],
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// ['one book', 'book'],
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// ['first book', 'book'],
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// ['7 day', ''],
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// ]
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// arr.forEach(function(a) {
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// const r = nlp(a[0])
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// .values()
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// .units()
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// t.equal(r.out('normal'), a[1], a[0])
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// })
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// t.end()
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// })
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// test('value-measurement:', function(t) {
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// [
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// ['five hundred feet', 'Distance'],
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// ['100 kilometers', 'Distance'],
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// ['fifty hertz', 'Frequency'],
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// ['59 thousand $', 'Money'],
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// ['100 mb', 'Data'],
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// ['50 руб', 'Money'],
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// ['EUR 9.99', 'Money'],
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// ['100 dollars', 'Money'],
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// ['256 bitcoins', 'Money'],
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// ].forEach(function (a) {
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// const str = nlp.value(a[0]).measurement;
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// str_test(str, a[0], a[1], t);
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// });
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// t.end();
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// });
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//
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// test('value-of_what:', function(t) {
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// [
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// ['nine kg', 'kg'],
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// ['5 kg of copper', 'copper'],
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// ['many of these stories', 'many of these stories'],
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// ['room full of beautiful creatures', 'full of beautiful creatures'],
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// ['boxes of bags of food', 'boxes of bags of food'],
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// ['5 boxes of water', 'boxes of water'],
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// ['6 of kids', 'kids'],
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// ['10 kids', 'kids'],
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// ['just nothing', 'just nothing'],
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// ['EUR 77', 'eur'],
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// ['kg', 'kg']
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// ].forEach(function (a) {
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// const str = nlp.value(a[0]).of_what;
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// str_test(str, a[0], a[1], t);
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// });
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// t.end();
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// });
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