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:
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.
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