bigrandomgraphs
Fast, parallel generation of large sparse random graphs in C++ with a Python interface.
Install
pip install bigrandomgraphs # from PyPI (once published)
pip install . # from a local checkout
pip install git+https://github.com/JasonPSmith/bigrandomgraphs.git
Python ≥ 3.8. Source installs need a C++ compiler; CMake ≥ 3.15 is fetched automatically by the build frontend if not already present. Pre-built wheels are produced by CI for Linux x86_64, macOS arm64, macOS x86_64, and Windows x64 across CPython 3.9–3.13.
Testing
pip install -e .[test]
python -m pytest
Use python -m pytest rather than bare pytest — the latter resolves via $PATH and can end up in a Python environment that doesn't have bigrandomgraphs installed, producing a confusing ModuleNotFoundError: No module named 'pybrg' at collection time.
TODO
- Add "Publish to PyPI" in github workflows
License
See LICENSE.
Metadata
Release files for bigrandomgraphs 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| bigrandomgraphs-0.1.1.tar.gz | 10.6 kB | Details |
Built distributions (wheels)
Total release size: 2.2 MB
Release files / bigrandomgraphs-0.1.1.tar.gz
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| Size | 10.6 kB |
| Tags | Source |
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