tree is a library for working with nested data structures. In a way, tree
generalizes the builtin map function which only supports flat sequences,
and allows to apply a function to each "leaf" preserving the overall
structure.
>>> import tree
>>> structure = [[1], [[[2, 3]]], [4]]
>>> tree.flatten(structure)
[1, 2, 3, 4]
>>> tree.map_structure(lambda v: v**2, structure)
[[1], [[[4, 9]]], [16]]
tree is backed by an optimized C++ implementation suitable for use in
demanding applications, such as machine learning models.
From PyPI:
$ pip install dm-tree
Directly from github using pip:
$ pip install git+git://github.com/deepmind/tree.git
Build from source:
$ python setup.py install
If you are having issues, please let us know by filing an issue on our issue tracker.
The project is licensed under the Apache 2.0 license.
FAQs
Tree is a library for working with nested data structures.
We found that dm-tree demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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