Utilities for navigating flat trees
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.github | ||
changelog | ||
docs | ||
flat_tree | ||
test | ||
.drone.yml | ||
.gitignore | ||
.readthedocs.yml | ||
CHANGELOG.rst | ||
CODE_OF_CONDUCT.rst | ||
CONTRIBUTING.rst | ||
LICENSE | ||
MANIFEST.in | ||
mypy.ini | ||
pyproject.toml | ||
README.rst | ||
setup.cfg | ||
setup.py | ||
tox.ini |
.. _header: ********* flat-tree ********* .. image:: https://img.shields.io/badge/license-GPL-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://drone.autonomic.zone/api/badges/hyperpy/flat-tree/status.svg :target: https://drone.autonomic.zone/hyperpy/flat-tree :alt: Drone CI result .. image:: https://readthedocs.org/projects/flat-tree/badge/?version=latest :target: https://flat-tree.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status .. image:: http://img.shields.io/liberapay/patrons/decentral1se.svg?logo=liberapay :target: https://liberapay.com/decentral1se :alt: Support badge .. _introduction: Utilities for navigating flat trees ----------------------------------- Flat Trees are the core data structure that power 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 ************* * `flat-tree.readthedocs.io`_ .. _flat-tree.readthedocs.io: https://flat-tree.readthedocs.io