Python library for working with braids
Project description
BraidPy
A Python library for working with braids, with the goal to help design real world complex 3D braids, using recent advances in braid theory. Source is available at on github
Features
- Mathematical representation of braids with braid words using Artin's generators
- Conversion between different braid word formats
- Braid operations and manipulations (inversion, handles reduction, ...)
- Generation of parametric braid from braid word
- Visualization capabilities (ASCI, 2D and 3D)
- Computations of mathematical properties of braid word or invariants of braid
- Annulus braids
- Conversion from parametric braid to braid word
- Conversion from material braid to parametric braid
- Simulation of machine braiding process (hexagonal braiding machine)
Basic example
from braidpy import Braid
# Create a braid
b = Braid([1, 2, -1])
# Perform operations
result = b * b.inverse()
🛠️ Installation
Release versions are available on Pypi and it should be very easy to install braidpy in your python environment.
Using pip
pip install braidpy
Or using poetry
poetry add braidpy
Or using uv (recommended package manager used on the project)
uv add braidpy
🛠️ Installation from source
The version in pypi might lack features or bug corrections compared to the development versions.
You can download the code directly from GitHub or using git:
git clone git@github.com:baptistelabat/braidpy.git
By default, you should be on the 'develop' branch.
To install the required dependencies, follow the steps below:
- On linux, run the commands from root of repository to install uv. Use the official installation guide otherwise.
sudo apt-get install build-essential cd braidpy make install-uv
Test
To launch the complete suite of tests, launch the following command:
uv run pytest tests
Alternatively, if you have make install, just run:
make test
📜 Documentation
Documentation of released versions is hosted by [readthedocs] (https://braidpy.readthedocs.io/en/latest/)
Documentation of development version can be found on [github pages] (https://baptistelabat.github.io/braidpy) You should be able to select among several versions. Note that this process is manual. You can also generate the documentation for your version installed from sources
make docs
Project Team:
This is a single person project for now, but I would be happy to make the team grow. Human:
Bot: chatgpt windsurf
🤝 Contributions
Contributions are welcome! Please open an issue or submit a pull request from your fork to suggest changes, report bugs, or propose new features.
Here are a few code guidelines:
- We use english for code and comments.
- We use Google style docstring.
- We use type hinting.
Please be sure to install the pre-commit tool in order to check your code while commiting in order to keep a clean project history.
pre-commit install
Please have a look to makefile to find helpful commands.
📜 License
This project is licensed under the Mozilla Public License 2.0 - see the LICENSE file for details.
🖇️ References
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file braidpy-0.2.2.tar.gz.
File metadata
- Download URL: braidpy-0.2.2.tar.gz
- Upload date:
- Size: 28.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ed37e94bf99fda3098c2f13408bf31ccd082ba3f29cd998b888fb12a80696a86
|
|
| MD5 |
591f14fa3a2f232ddb064362160a98bb
|
|
| BLAKE2b-256 |
fb122bd67fc45fe4c70eafeea0cc52428b24f08377307c482cc20f3405282fe9
|
File details
Details for the file braidpy-0.2.2-py3-none-any.whl.
File metadata
- Download URL: braidpy-0.2.2-py3-none-any.whl
- Upload date:
- Size: 29.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.6.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2c7ba91f6b1ec08d2357e7cd6cb9f8ffbd2adec6574f9f7684da174f99d48eae
|
|
| MD5 |
981e48288ce4326579795bf05d3e7695
|
|
| BLAKE2b-256 |
dada652fe4326493958dd8cc4c42919b4618bd83d49911cab69284ccf27963cf
|