2019-06-20 15:12:38 +00:00
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.. _header:
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*********
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2019-07-01 16:33:29 +00:00
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flat-tree
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2019-06-20 15:12:38 +00:00
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*********
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.. image:: https://img.shields.io/badge/license-MIT-brightgreen.svg
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:target: LICENSE
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:alt: Repository license
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.. image:: https://badge.fury.io/py/flat_tree.svg
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:target: https://badge.fury.io/py/flat_tree
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:alt: PyPI Package
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2019-08-03 22:57:53 +00:00
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.. image:: https://travis-ci.com/datpy/flat-tree.svg?branch=master
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:target: https://travis-ci.com/datpy/flat-tree
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:alt: Travis CI result
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2019-06-20 15:12:38 +00:00
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.. image:: https://readthedocs.org/projects/flat-tree/badge/?version=latest
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:target: https://flat-tree.readthedocs.io/en/latest/?badge=latest
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:alt: Documentation Status
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.. image:: https://img.shields.io/badge/support-maintainers-brightgreen.svg
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:target: https://decentral1.se/
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:alt: Support badge
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.. _introduction:
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Utilities for navigating flat trees
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-----------------------------------
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From `The Dat Protocol`_:
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.. _The Dat Protocol: https://datprotocol.github.io/book/ch01-01-flat-tree.html
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Flat Trees are the core data structure that power Dat's Hypercore feeds. They
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allow us to deterministically represent a tree structure as a vector. This is
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particularly useful because vectors map elegantly to disk and memory.
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Because Flat Trees are deterministic and pre-computed, there is no overhead
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to using them. In effect this means that Flat Trees are a specific way of
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indexing into a vector more than they are their own data structure. This makes
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them uniquely efficient and convenient to implement in a wide range of
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languages.
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.. _documentation:
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Documentation
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*************
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2019-07-01 16:33:29 +00:00
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* https://flat-tree.readthedocs.io
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2019-06-20 15:12:38 +00:00
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.. _mirroring:
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Mirroring
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*********
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2019-08-03 22:42:30 +00:00
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* https://hack.decentral1.se/datpy/flat-tree (primary)
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* https://github.com/datpy/flat-tree
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