Release/0.5.0-beta, complete rewrite - #68
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* Fix bug in rewiring and models, faster degree assignments * Faster (and fixed?) degree assignment * Can sample 100 000 node graph in 0.5s.
* Start docs with index and API * Getting started notebook * Add outliers notebook * Add overlap notebook * Run overlap notebook through prek * Add igraph notebook * Add networkx benchmark * Add networkx benchmark to index * Add sknetwork benchmark * Fix igraph benchmark import * Update getting started headers * Add how it works doc
* Add custom powerlaw exponent estimator and remove powerlaw package * Fix abcd_sample rho
* Add benchmarks and ci workflow * Add pytest-benchmark to dev * Move to dependency-groups in pyproject.toml * Upgrade packages in lock * Run everything with uv (and delete custom actions, specify everything in each workflow file)
* Fix doc typos in ABCD * Add controls for fitting groups of parasm * Add tests
Hash edges as tuples instead of uint64 in rewire. Set up for general changes to make node dtype dynamic instead of uint32.
* Configuration model inplace option * Add chung-lu model and update protocol * Make abcd generate inplace
* Use argpartiton in outlier degree assignment * Special path for alpha=0
Instead of fixed uint32 (and thus maximum allowable node count), instead pick a dtype dynamically based on the number of nodes. Scipy requires int32/int64 for their pointer arrays, so there's not as much savings as anticipated
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Complete re-write for version 0.5.0 to simplify structure and increase speed. Total disregard for backwards compatibility.
dependency-groupsin pyproject, may cause problems with package versions.Anything docker will probably break since I'm not sure how it works.