pyqif
Python native Quantitative Information Flow library.
Installation
Use the package manager pip to install pyqif.
pip install pyqif
To install locally, you can use
pip install -e .
Running
To test run modules you need to use, for example:
python -m pyqif.measure.vg
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
Acknowledgements
This library is inspired and influenced by the brilliant work done by Kostas Chatzikokolakis (chatziko) on his libqif library for C++ and Python.
License
To understand how the various GNU licenses are compatible with each other, please refer to the GNU licenses FAQ.
Metadata
Release files for pyqif 0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pyqif-0.2.tar.gz | 8.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyqif-0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.3 kB
Release files / pyqif-0.2.tar.gz
| Download URL | pyqif-0.2.tar.gz |
|---|---|
| Size | 8.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/7.0.0 CPython/3.10.20
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Release files / pyqif-0.2-py3-none-any.whl
| Download URL | pyqif-0.2-py3-none-any.whl |
|---|---|
| Size | 9.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.20
|