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.. _header: ********* flat-tree ********* .. image:: https://img.shields.io/badge/license-MIT-brightgreen.svg :target: LICENSE :alt: Repository license .. image:: https://badge.fury.io/py/flat_tree.svg :target: https://badge.fury.io/py/flat_tree :alt: PyPI Package .. image:: https://readthedocs.org/projects/flat-tree/badge/?version=latest :target: https://flat-tree.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status .. image:: https://img.shields.io/badge/support-maintainers-brightgreen.svg :target: https://decentral1.se/ :alt: Support badge .. _introduction: Utilities for navigating flat trees ----------------------------------- From `The Dat Protocol`_: .. _The Dat Protocol: https://datprotocol.github.io/book/ch01-01-flat-tree.html Flat Trees are the core data structure that power Dat's Hypercore feeds. They allow us to deterministically represent a tree structure as a vector. This is particularly useful because vectors map elegantly to disk and memory. Because Flat Trees are deterministic and pre-computed, there is no overhead to using them. In effect this means that Flat Trees are a specific way of indexing into a vector more than they are their own data structure. This makes them uniquely efficient and convenient to implement in a wide range of languages. .. _documentation: Documentation ************* * https://flat-tree.readthedocs.io .. _mirroring: Mirroring ********* * https://hack.decentral1.se/datpy/flat_tree (primary) * https://github.com/datpy/flat_tree
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