import test from 'tape'
import nlp from '../_lib.js'
const here = '[three/normalize-preset] '

test('normalize - light', function (t) {
  const arr = [
    [' so... you like donuts? have all the donuts in the world!!!', 'so you like donuts? have all the donuts in the world!'],
    ['This is a test. ', 'This is a test.'],
    ['This is a test?!', 'This is a test?'],
    ['Björk, the singer-songwriter...', 'Bjork the singer songwriter'],
    // ['the so-called “fascist  dictator”', 'the so called "fascist dictator"'],
    // ['the so-called ❛singer-songwriter❜', 'the so called \'singer songwriter\''],
    // ['the so-called ❛group of seven❜', 'the so called \'group of 7\''],
    ['Director of the F.B.I.', 'Director of the FBI'],
    [`he - said.`, `he said.`]
  ]
  arr.forEach(function (a) {
    const str = nlp(a[0]).normalize().out('text')
    t.equal(str, a[1], here + '[light] ' + a[0])
  })
  t.end()
})

test('normalize - medium', function (t) {
  const arr = [
    [' so... you like DONUTS? have all the donuts in the WORLD!!!', 'so you like donuts? have all the donuts in the world!'],
    ['This is a test?!', 'this is a test?'],
    ['Björk, the singer-songwriter...', 'bjork the singer songwriter'],
    ['Director of the F.B.I.', 'director of the fbi'],
  ]
  arr.forEach(function (a) {
    const str = nlp(a[0]).normalize('medium').out('text')
    t.equal(str, a[1], here + '[medium] ' + a[0])
  })
  t.end()
})

test('normalize - heavy', function (t) {
  const arr = [
    [' so... you like DONUTS? have all the donuts in the WORLD!!!', 'so you like donut? have all the donut in the world!'],
    ['This is a test?!', 'this be a test?'],
    ['Björk, the singer-songwriter...', 'bjork the singer songwriter'],
    ['Director of the F.B.I.', 'director of the fbi'],
    ['cross', 'cross'],
    ['the police', 'the police'],
    ['the kiss', 'the kiss'],
    ['he kisses', 'he kiss'],
    ['we kiss', 'we kiss'],
    ['series', 'series'],
    ['the clothes', 'the clothes'],
    ['the services', 'the service'],
    ['he services', 'he service'],
    ['the species', 'the species'],
  ]
  arr.forEach(function (a) {
    const str = nlp(a[0]).normalize('heavy').out('text')
    t.equal(str, a[1], here + '[heavy] ' + a[0])
  })
  t.end()
})