Upstream spencermountain/compromise state of the touched files before ff559ff7cd
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@@ -0,0 +1,58 @@
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import canBe from './canBe.js'
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const tagger = function (list, document, world) {
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const { model, methods } = world
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const { getDoc, setTag, unTag } = methods.one
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const looksPlural = methods.two.looksPlural
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if (list.length === 0) {
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return list
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}
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return list.map(todo => {
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if (!todo.tag && !todo.chunk && !todo.unTag) {
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return
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}
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const reason = todo.reason || todo.match
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const terms = getDoc([todo.pointer], document)[0]
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let validated
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// handle 'safe' tag
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if (todo.safe === true) {
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// check for conflicting tags
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if (canBe(terms, todo.tag, model) === false) {
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return
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}
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// dont tag half of a hyphenated word
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if (terms[terms.length - 1].post === '-') {
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return
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}
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// Only an exact single tag was checked by canBe; arrays and shorthand
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// still need their individual checks in setTag.
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if (typeof todo.tag === 'string' && Object.hasOwn(model.one.tagSet, todo.tag)) {
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validated = model.one.tagSet[todo.tag]
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}
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}
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if (todo.tag !== undefined) {
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setTag(terms, todo.tag, world, todo.safe, `[post] '${reason}'`, validated)
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// quick and dirty plural tagger 😕
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if (todo.tag === 'Noun' && looksPlural) {
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const term = terms[terms.length - 1]
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if (looksPlural(term.text)) {
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setTag([term], 'Plural', world, todo.safe, 'quick-plural')
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} else {
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setTag([term], 'Singular', world, todo.safe, 'quick-singular')
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}
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}
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// allow freezing this match, too
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if (todo.freeze === true) {
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terms.forEach(term => (term.frozen = true))
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}
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}
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if (todo.unTag !== undefined) {
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unTag(terms, todo.unTag, model.one.tagSet, reason)
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}
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// allow setting chunks, too
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if (todo.chunk) {
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terms.forEach(t => (t.chunk = todo.chunk))
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}
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})
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}
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export default tagger
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@@ -0,0 +1,40 @@
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import test from 'tape'
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import nlp from '../../lib/three.js'
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const here = '[three/misc/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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