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.