wehub-resource-sync
41 lines
1.3 KiB
JavaScript
41 lines
1.3 KiB
JavaScript
import test from 'tape'
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import nlp from './_lib.js'
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const here = '[three/sweep-tag] '
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test('cache-one:', function (t) {
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const matches = [{ match: '(he|she|they|#Noun) (has|have) (a|an)' }]
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const net = nlp.buildNet(matches)
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const doc = nlp(`you have a appointment`)
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t.equal(doc.has(net), true, here + 'Noun cache')
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t.end()
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})
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test('sweep-root:', function (t) {
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const matches = [{ match: '{appointment}' }]
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const net = nlp.buildNet(matches)
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const doc = nlp(`you have some appointments`)
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doc.compute('root')
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t.equal(doc.has(net), true, here + 'root cache')
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t.end()
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})
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test('sweep-freeze:', function (t) {
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const matches = [
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{ match: 'juicy fruit', tag: 'Singular', freeze: true },
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{ match: 'front steps', tag: 'Plural', freeze: true },
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{ match: 'juicy', tag: 'Adjective' },
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{ match: 'front', tag: 'Adjective' },
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]
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const doc = nlp(`i ate juicy fruit on the front steps`)
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const net = nlp.buildNet(matches)
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doc.sweep(net)
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let m = doc.match('juicy fruit')
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t.equal(m.has('#Singular #Singular'), true, here + 'juicy fruit')
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t.equal(m.has('#Adjective'), false, here + 'juicy fruit frozen')
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m = doc.match('front steps')
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t.equal(m.has('#Plural #Plural'), true, here + 'front steps')
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t.equal(m.has('#Adjective'), false, here + 'front steps frozen')
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t.end()
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})
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