Drop the payload limitations that term ids fix
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@@ -74,27 +74,4 @@ doc.clearPayloads()
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doc.getPayloads().length // now 0
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```
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### Limitations
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Payloads are saved by sentence number and term position, in one store that every document from the same `nlp` shares. That means:
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- **Removing a sentence breaks the payloads that come after it.** They move to the wrong sentence, and the last one can go missing. Add payloads after you remove sentences, or add them again. Changing words inside a sentence is fine.
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```js
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let doc = nlp('One is red. Two is blue. Three is green.')
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doc.match('(red|blue|green)').forEach(m => m.addPayload({ color: m.text() }))
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doc.remove('two is blue')
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doc.getPayloads().map(p => [p.match.text(), p.val.color])
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// [['red', 'red'], ['Three is green', 'blue']]
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```
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- **A new document can see payloads from an older one** at the same sentence and term positions. Call `.clearPayloads()` on a document when you are done with it.
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```js
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nlp('the red car').match('car').addPayload({ kind: 'vehicle' })
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nlp('a blue bike').getPayloads().length // 1, from the first document
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```
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See [#1188](https://github.com/spencermountain/compromise/issues/1188).
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MIT
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