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https://github.com/opensourceeconomics/pybaum

Tools to work with pytrees.
https://github.com/opensourceeconomics/pybaum

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Tools to work with pytrees.

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pybaum
======

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Installation
------------

pybaum is available on `PyPI `_ and `Anaconda.org
`_. 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 borrowed from `JAX
`_.

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.