wehub-resource-sync
161 lines
4.4 KiB
JavaScript
161 lines
4.4 KiB
JavaScript
import test from 'tape'
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import nlp from './_lib.js'
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const here = '[three/misc] '
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test('full-sentence-issue', function (t) {
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let doc = nlp(`Images of death have lost shock value`)
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doc.ptrs = [[0], [0]]
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t.equal(doc.questions().found, false, here + 'no questions')
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t.equal(doc.length, 2, here + '2 matches')
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t.equal(doc.sentences().length, 2, here + '2 sentences')
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doc.unique()
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t.equal(doc.sentences().length, 2, here + 'still 2')
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doc = doc.unique()
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t.equal(doc.sentences().length, 1, here + '1 unique sentence')
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t.end()
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})
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test('test overloading', function (t) {
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const doc = nlp(`the 7 days since december were gross`)
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let m = doc.verbs()
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t.ok(m.json(), 'overload-verb')
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t.equal(m.eq(0).viewType, 'Verbs', 'still-is-verb')
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m = doc.nouns()
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t.ok(m.json(), 'overload-nouns')
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t.equal(m.eq(0).viewType, 'Nouns', 'still-is-nouns')
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m = doc.numbers()
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t.ok(m.json(), 'overload-numbers')
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t.equal(m.eq(0).viewType, 'Numbers', 'still-is-numbers')
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m = doc.sentences()
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t.ok(m.json(), 'overload-sentences')
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t.equal(m.eq(0).viewType, 'Sentences', 'still-is-sentences')
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m = doc.people()
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t.ok(m.json(), 'overload-people')
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t.equal(m.eq(0).viewType, 'People', 'still-is-people')
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m = doc.places()
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t.ok(m.json(), 'overload-places')
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t.equal(m.eq(0).viewType, 'View', 'places has no class')
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t.end()
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})
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test('drop back to View', function (t) {
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const doc = nlp(`John Smith and Jack were walking`)
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const vb = doc.verbs()
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// ====== drop class ----
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let m = vb.match('.')
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t.equal(m.viewType, 'View', here + 'match-to-view')
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m = vb.before('.$')
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t.equal(m.viewType, 'View', here + 'before-to-view')
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m = vb.map(v => v)
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t.equal(m.viewType, 'View', here + 'map-to-view')
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m = vb.insertAfter('drugs')
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t.equal(m.viewType, 'View', here + 'insert-to-view')
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m = vb.remove('jack')
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t.equal(m.viewType, 'View', here + 'remove-to-view')
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m = vb.replaceWith('jack', 'blue')
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t.equal(m.viewType, 'View', here + 'replace-to-view')
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m = vb.intersection(doc.match('.'))
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t.equal(m.viewType, 'View', here + 'intersection-to-view')
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m = vb.adverbs()
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t.equal(m.viewType, 'View', here + 'adverbs-to-view')
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t.end()
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})
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test('retain class', function (t) {
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const doc = nlp(`John Smith and Jack were walking`)
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const vb = doc.verbs()
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// ====== keep class ---
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let m = vb.update([])
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t.equal(m.viewType, 'Verbs', here + 'update-keeps-class')
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m = vb.find(v => v.toUpperCase())
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t.equal(m.viewType, 'Verbs', here + 'find-kees-class')
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m = vb.tag('Foo')
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t.equal(m.viewType, 'Verbs', here + 'tag-keeps-class')
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m = vb.ifNo('.')
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t.equal(m.viewType, 'Verbs', here + 'if-keeps-class')
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m = vb.toUpperCase()
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t.equal(m.viewType, 'Verbs', here + 'case-keeps-class')
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m = vb.clone()
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t.equal(m.viewType, 'Verbs', here + 'clone-keeps-class')
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m = vb.sort('alpha')
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t.equal(m.viewType, 'Verbs', here + 'sort-keeps-class')
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m = vb.unique()
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t.equal(m.viewType, 'Verbs', here + 'unique-keeps-class')
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t.end()
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})
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test('barely a term', function (t) {
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let str = '.('
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let doc = nlp(str)
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t.equal(doc.out(), str, 'barely-term-no-space')
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str = '.( '
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doc = nlp(str)
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t.equal(doc.out(), str, 'barely-term-with-space')
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t.end()
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})
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//#744
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test('replacement with a contraction', function (t) {
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let doc = nlp('a b c d')
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t.equal(doc.text(), 'a b c d', 'before replace')
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doc.replace('b', "added i'm")
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t.equal(doc.text(), "a added i'm c d", 'after replace')
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doc = nlp("The only reason he doesn't continue is because of how tired he feels.", { reason: 'Noun' })
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doc.verbs().toPastTense()
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t.equal(doc.text(), 'The only reason he did not continue was because of how tired he felt.', 'conjugate-contraction')
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t.end()
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})
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test('json extended options:', function (t) {
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const doc = nlp(`Hey everybody, I'm lookin' for Amanda Hugginkiss`)
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const json = doc.people().json({ offset: true })
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t.ok(json[0].offset, here + 'exteded json methods')
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t.end()
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})
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test('tag-multiples:', function (t) {
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const r = nlp('twas brillig in the doofgafoof.')
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r.match('brillig').tag(['Foo', 'Barr'])
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t.ok(r.match('#Foo').found, 'tagged-foo')
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t.ok(r.match('#Barr').found, 'tagged-barr')
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t.end()
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})
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// -----
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test('root-text vs match-text', function (t) {
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const str = ` paper, scissors, rock. I run with scissors.`
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const doc = nlp(str).match('*').all()
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t.equal(doc.text(), str, 'perfect-root-text')
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const m = doc.match('scissors')
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t.equal(m.text(), 'scissors, scissors', 'match-text')
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t.end()
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})
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