https://github.com/google-deepmind/tree

tree is a library for working with nested data structures
https://github.com/google-deepmind/tree

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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 (about 5 years ago)
• Default Branch: master
• Last Pushed: 2024-08-28T17:01:01.000Z (3 months ago)
• Last Synced: 2024-10-09T11:25:44.371Z (about 1 month ago)
• Language: Python
• Homepage: https://tree.readthedocs.io
• Size: 153 KB
• Stars: 935
• Watchers: 19
• Forks: 58
• Open Issues: 30
• 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.