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Add badges and a short description to the readme. (#13)
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tobiasraabe committed Feb 9, 2022
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Expand Up @@ -15,6 +15,7 @@ releases are available on `Anaconda.org
:func:`pybaum.tree_util.tree_just_yield`.
- :gh:`10` adds default arguments to ``tree_just_flatten``.
- :gh:`12` adds a section about the API to the docs.
- :gh:`13` extends the readme.


0.1.0 - 2022-01-28
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89 changes: 88 additions & 1 deletion README.rst
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pybaum
======

Tools to work with pytrees.
.. start-badges
.. image:: https://img.shields.io/pypi/v/pybaum?color=blue
:alt: PyPI
:target: https://pypi.org/project/pybaum

.. image:: https://img.shields.io/pypi/pyversions/pybaum
:alt: PyPI - Python Version
:target: https://pypi.org/project/pybaum

.. image:: https://img.shields.io/conda/vn/conda-forge/pybaum.svg
:target: https://anaconda.org/conda-forge/pybaum

.. image:: https://img.shields.io/conda/pn/conda-forge/pybaum.svg
:target: https://anaconda.org/conda-forge/pybaum

.. image:: https://img.shields.io/pypi/l/pybaum
:alt: PyPI - License
:target: https://pypi.org/project/pybaum

.. image:: https://readthedocs.org/projects/pybaum/badge/?version=latest
:target: https://pybaum.readthedocs.io/en/latest

.. image:: https://img.shields.io/github/workflow/status/OpenSourceEconomics/pybaum/main/main
:target: https://github.com/OpenSourceEconomics/pybaum/actions?query=branch%3Amain

.. image:: https://codecov.io/gh/OpenSourceEconomics/pybaum/branch/main/graph/badge.svg
:target: https://codecov.io/gh/OpenSourceEconomics/pybaum

.. image:: https://results.pre-commit.ci/badge/github/OpenSourceEconomics/pybaum/main.svg
:target: https://results.pre-commit.ci/latest/github/OpenSourceEconomics/pybaum/main
:alt: pre-commit.ci status

.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
:target: https://github.com/psf/black

.. end-badges
Installation
------------

pybaum is available on `PyPI <https://pypi.org/project/pybaum>`_ and `Anaconda.org
<https://anaconda.org/conda-forge/pybaum>`_. Install it with

.. code-block:: console
$ pip install pybaum
# or
$ conda install -c conda-forge pybaum
About
-----

pybaum provides tools to work with pytrees which is a concept burrowed from `JAX
<https://jax.readthedocs.io/en/latest/>`_.

What is a pytree?

In pybaum, we use the term pytree to refer to a tree-like structure built out of
container-like Python objects. Classes are considered container-like if they are in the
pytree registry, which by default includes lists, tuples, and dicts. That is:

1. Any object whose type is not in the pytree container registry is considered a leaf
pytree.

2. Any object whose type is in the pytree container registry, and which contains
pytrees, is considered a pytree.

For each entry in the pytree container registry, a container-like type is registered
with a pair of functions that specify how to convert an instance of the container type
to a (children, metadata) pair and how to convert such a pair back to an instance of the
container type. Using these functions, pybaum can canonicalize any tree of registered
container objects into tuples.

Example pytrees:

.. code-block:: python
[1, "a", object()] # 3 leaves
(1, (2, 3), ()) # 3 leaves
[1, {"k1": 2, "k2": (3, 4)}, 5] # 5 leaves
pybaum can be extended to consider other container types as pytrees.

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