chore(markdown): Working on v3 docs
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title: Pattern.sampleOption()
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---
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A pattern's `sampleOption()` method will _sample_ a given option,
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which means to draft it in different iterations while adjusting the input value
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of the given option.
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The practical implementation varies based on [the type of option](/config/options/):
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The `Pattern.sampleOption()` method will _sample_ the pattern which means
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to draft multiple variants of the same pattern, and stack them on
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top of each other.
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In this particular case, the variants it drafts depend
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on [the type of option](/config/options/):
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- For options that are an object with a **min** and **max** property, 10 steps will be sampled, between min and max
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- For options that are a numeric value (**constants**), 10 steps will be sampled between 90% and 110% of the value
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- For options with a **list** of options, each option in the list will be sampled
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<Fixme>Handle other option types</Fixme>
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<Tip>
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The goal of option sampling is to verify the impact of an option on the pattern, and verify that
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its min and max boundaries are correct and its default value is sensible.
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<Note>This method is chainable as it returns the Pattern object</Note>
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<Tip>
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###### Anchor your samples
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If you add a point named `anchor` to your pattern part, the different samples
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will be anchored on this point.
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In other words, for each sample, the anchor point will be kept in the same location.
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</Tip>
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## Pattern.sampleOption() signature
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```js
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## Pattern.sampleOption() example
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```js
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import Aaron from "@freesewing/aaron"
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import models from "@freesewing/models"
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import { Aaron } from "@freesewing/aaron"
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import { cisFemaleAdult34 } from "@freesewing/models"
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const pattern = new aaron({
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measurements: models.manSize38
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const pattern = new Aaron({
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measurements: cisFemaleAdult34
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})
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const svg = pattern.sampleOption("necklineDrop").render()
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const svg = pattern.draft().sampleMeasurement('chest')
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```
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