Package fingertree implements finger trees in Go.
Wikipedia: [https://en.wikipedia.org/wiki/Finger_tree](https://en.wikipedia.org/wiki/Finger_tree)
The finger tree is an incredibly versatile, customizable data structure that functions more or less like a random-access list except that, rather than using indexes to access the items, you define "measurements" for that. This key distinction provides a large amount of power and flexibility. Measurements give you a way to define a sort of "width-space" for items, specifying how "wide" each item is and accessing items by "offsets in the width-space". Measurements can be simple numbers or they can be complex structures, allowing you to index items on multiple aspects simultaneously (see examples/textLines.go which lets you find lines of text by either line number or character offset). I can't say enough about how interesting and powerful finger trees are.
Finger trees are reasonably performant although specialized data structures will perform better for their targeted tasks. Nevertheless, finger trees are very easy to use and I often use them for a first-cut before writing a custom data structure -- I've found that it's better to debug and maintain fewer pieces of complex code than more of them.
This is a modified port of Xueqiao Xu's JavaScript Fingertree code
[https://github.com/qiao/fingertree.js](https://github.com/qiao/fingertree.js)
<xueqiaoxu@gmail.com>
Which is based on:
Ralf Hinze and Ross Paterson,
"Finger trees: a simple general-purpose data structure"
[http://www.soi.city.ac.uk/~ross/papers/FingerTree.html](http://www.soi.city.ac.uk/~ross/papers/FingerTree.html)
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