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nx-parallel 0.3

We're happy to announce the release of nx-parallel 0.3!

Enhancements

  • Add parallel version of edge_betweenness_centrality (#60).
  • Adding a pre-commit hook to update get_info (#55).
  • ENH: Adding and documenting configs in nx-parallel (#75).

Bug Fixes

  • Ignoring functions in utils for the get_info dict (#78).
  • Adding ruff as a developer dependency (#85).

Documentation

  • Update release process (#66).
  • DOC: minor doc_string changes to check write access (#70).

Infrastructure

  • ENH: Adding and documenting configs in nx-parallel (#75).

Maintenance

  • Revisiting nxp algorithms (#63).
  • MAINT: Switching to setuptools (#69).
  • MAINT: updated readme with conda installation guide (#71).
  • Ignoring functions in utils for the get_info dict (#78).
  • Test on Python 3.13-dev (#83).
  • Chore/style cleanup utility functions (#80).
  • Clean up and bump deps, ruff, pre-commit (#84).
  • MAINT: Drop support for python 3.10, and update min supported networkx version to 3.4.1 (#88).
  • TST: Added tests checking entry_points discovery and config initialisation (#89).

Contributors

7 authors added to this release (alphabetically):

8 reviewers added to this release (alphabetically):

These lists are automatically generated, and may not be complete or may contain duplicates.

nx-parallel 0.2

We're happy to announce the release of nx-parallel 0.2!

Enhancements

  • parallel implementation for all_pairs_bellman_ford_path (#14).
  • benchmarking infrastructure (#24).
  • ENH : Adding backend_info entry point (#27).
  • ENH : added johnson in weighted.py (#37).
  • ENH : added square_clustering (#34).
  • ENH : improved all_pairs_bellman_ford_path (#49).
  • ENH : added node_redundancy in bipartite (#45).
  • ENH : adding parallel implementations of all_pairs_ algos (#33).
  • [ENH, BUG] : added time_tournament_is_strongly_connected benchmark, renamed tournament_is_strongly_connected to is_strongly_connected (#32).
  • ENH : Added get_chunks to betweenness_centrality and create_iterables in utils (#29).

Bug Fixes

  • BUG: moved get_info from backend.py to _nx_parallel (#53).
  • BUG : included _nx_parallel in packages (#54).

Documentation

  • Update release process (#21).
  • DOC: Adding CONTRIBUTING.md, updating readme, etc (#46).

Maintenance

  • replaced networkx_plugin with networkx_backend (#25).
  • replaced networkx.plugins with networkx.backends and updated readme (#26).
  • Sync up min python version with networkx main repo (#31).
  • MAINT : updated pre-commit-config.yaml (#35).
  • MAINT : added lint workflow test (#28).
  • MAINT : styling fixes (#38).
  • MAINT : style fix - 2 (#40).
  • MAINT : added default_benchmark_timeout to asv.conf.json (#43).
  • MAINT : removed NETWORKX_GRAPH_CONVERT (#48).
  • MAINT: updating backend.get_info (#47).
  • MAINT: renamed backend function keys (#50).
  • MAINT: added script to update _nx_parallel/__init__.py (#57).
  • MAINT: Renaming functions with a different name while dispatching (#56).
  • MAINT: updated README and _nx_parallel/__init__.py (#58).
  • MAINT: Added LICENSE and updated README (#59).
  • Use pypi for tests (#64).

Contributors

4 authors added to this release (alphabetically):

5 reviewers added to this release (alphabetically):

These lists are automatically generated, and may not be complete or may contain duplicates.

nx-parallel 0.1

We're happy to announce the release of nx-parallel 0.1!

Enhancements

  • first commit, isolates and betweenness (#2).
  • Reconfigure so ParallelGraph stores original nx graph (#9).

Bug Fixes

  • bug fix : changed edge probability from 0.5 to p (#13).

Documentation

  • Update README for Clarity and Comprehension (#16).
  • Add release process documentation (#19).

Maintenance

  • add skeleton (#1).
  • Add basic test.yaml based on graphblas-algorithms (#3).
  • New name for repository (#8).
  • Clean up tests, add some minimal docs to readme (#10).
  • Use changelist (#17).
  • Use hatch as the build backend (#20).
  • Use trusted publisher (#18).

Contributors

6 authors added to this release (alphabetically):

4 reviewers added to this release (alphabetically):

These lists are automatically generated, and may not be complete or may contain duplicates.