https://github.com/google-deepmind/tree
tree is a library for working with nested data structures
https://github.com/google-deepmind/tree
Last synced: about 2 months ago
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tree is a library for working with nested data structures
- Host: GitHub
- URL: https://github.com/google-deepmind/tree
- Owner: google-deepmind
- License: apache-2.0
- Created: 2019-10-08T08:57:45.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2025-01-30T17:23:31.000Z (5 months ago)
- Last Synced: 2025-04-13T19:43:20.022Z (3 months ago)
- Language: Python
- Homepage: https://tree.readthedocs.io
- Size: 152 KB
- Stars: 977
- Watchers: 17
- Forks: 61
- Open Issues: 33
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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README
# Tree
`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.
```python
>>> 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.
## Installation
From PyPI:
```shell
$ pip install dm-tree
```
Directly from github using pip:
```shell
$ pip install git+git://github.com/deepmind/tree.git
```
Build from source:
```shell
$ python setup.py install
```
## Support
If you are having issues, please let us know by filing an issue on our
[issue tracker](https://github.com/deepmind/tree/issues).
## License
The project is licensed under the Apache 2.0 license.