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Utilities for navigating flat trees
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README.rst 

.. _header:

*********
flat-tree
*********

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.. _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.

.. _example:

Example
*******

.. code-block:: python

    """

    You can represent a binary tree in a simple
    flat list using the following structure:

           3
       1       5
     0   2   4   6  ...

    This module exposes a series of functions
    to help you build and maintain this data structure.

    """

    from flat_tree import FlatTreeAccessor

    tree_access = FlatTreeAccessor()

    # get array index for depth: 1, offset: 0
    tree_access.index(1, 0)

.. _documentation:

Documentation
*************

* `flat-tree.readthedocs.io`_

.. _flat-tree.readthedocs.io: https://flat-tree.readthedocs.io

.. _mirroring:

Mirroring
*********

* `hack.decentral1.se/datpy/flat-tree`_
* `github.com/datpy/flat-tree`_

.. _hack.decentral1.se/datpy/flat-tree: https://hack.decentral1.se/datpy/flat-tree
.. _github.com/datpy/flat-tree: https://github.com/datpy/flat-tree