Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Bump python-igraph from 0.8.3 to 0.10.3 #960

Open
wants to merge 1 commit into
base: master
Choose a base branch
from

Conversation

dependabot[bot]
Copy link

@dependabot dependabot bot commented on behalf of github Jan 2, 2023

Bumps python-igraph from 0.8.3 to 0.10.3.

Release notes

Sourced from python-igraph's releases.

igraph 0.10.3

Changed

  • The C core of igraph was updated to version 0.10.3.

  • UMAP layout now exposes the computation of the symmetrized edge weights via umap_compute_weights(). The layout function, Graph.layout_umap(), can now be called either on a directed graph with edge distances, or on an undirected graph with edge weights, typically computed via umap_compute_weights() or precomputed by the user. Moreover, the sampling_prob argument was faulty and has been removed. See PR #613 for details.

  • The resolution_parameter argument of Graph.community_leiden() was renamed to resolution for sake of consistency. The old variant still works with a deprecation warning, but will be removed in a future version.

Fixed

  • Graph.Data_Frame() now handles the Int64 data type from pandas, thanks to @​Adriankhl. See PR #609 for details.

  • Graph.layout_lgl() root argument is now optional (as it should have been).

  • The VertexClustering class now handles partial dendrograms correctly.

igraph 0.10.2

Added

  • python-igraph is now tested in Python 3.11.
  • Added Graph.modularity_matrix() to calculate the modularity matrix of a graph.
  • Added Graph.get_k_shortest_paths(), thanks to @​sombreslames. See PR #577 for details.
  • The setup.py script now also accepts environment variables instead of command line arguments to configure several aspects of the build process (i.e. whether a fully static extension is being built, or whether it is allowed to use pkg-config to retrieve the compiler and linker flags for an external igraph library instead of the vendored one). The environment variables are named similarly to the command line arguments but in uppercase, dashes replaced with underscores, and they are prefixed with IGRAPH_ (i.e. --use-pkg-config becomes IGRAPH_USE_PKG_CONFIG).

Changed

  • The C core of igraph was updated to version 0.10.2, fixing a range of bugs originating from the C core.

Fixed

  • Fixed a crash in Graph.decompose() that was accidentally introduced in 0.10.0 during the transition to igraph_graph_list_t in the C core.
  • Clustering.sizes() now works correctly even if the membership vector contains None items.
  • Graph.modularity() and Graph.community_multilevel() now correctly expose the resolution parameter.
  • Fixed a reference leak in Graph.is_chordal() that decreased the reference count of Python's built-in True and False constants unnecessarily.
  • Unit tests updated to get rid of deprecation warnings in Python 3.11.

igraph 0.10.1

Added

  • Added Graph.minimum_cycle_basis() and Graph.fundamental_cycles()
  • Graph.average_path_length() now supports edge weights.

Fixed

  • Restored missing exports from igraph.__all__ that used to be in the main igraph package before 0.10.0.

igraph 0.10.0

Added

... (truncated)

Changelog

Sourced from python-igraph's changelog.

[0.10.3] - 2022-12-31

Changed

  • The C core of igraph was updated to version 0.10.3.

  • UMAP layout now exposes the computation of the symmetrized edge weights via umap_compute_weights(). The layout function, Graph.layout_umap(), can now be called either on a directed graph with edge distances, or on an undirected graph with edge weights, typically computed via umap_compute_weights() or precomputed by the user. Moreover, the sampling_prob argument was faulty and has been removed. See PR #613 for details.

  • The resolution_parameter argument of Graph.community_leiden() was renamed to resolution for sake of consistency. The old variant still works with a deprecation warning, but will be removed in a future version.

Fixed

  • Graph.Data_Frame() now handles the Int64 data type from pandas, thanks to @​Adriankhl. See PR #609 for details.

  • Graph.layout_lgl() root argument is now optional (as it should have been).

  • The VertexClustering class now handles partial dendrograms correctly.

[0.10.2] - 2022-10-14

Added

  • python-igraph is now tested in Python 3.11.

  • Added Graph.modularity_matrix() to calculate the modularity matrix of a graph.

  • Added Graph.get_k_shortest_paths(), thanks to @​sombreslames. See PR #577 for details.

  • The setup.py script now also accepts environment variables instead of command line arguments to configure several aspects of the build process (i.e. whether a fully static extension is being built, or whether it is allowed to use pkg-config to retrieve the compiler and linker flags for an external igraph library instead of the vendored one). The environment variables are named similarly to the command line arguments but in uppercase, dashes replaced with underscores, and they are prefixed with IGRAPH_ (i.e. --use-pkg-config becomes IGRAPH_USE_PKG_CONFIG).

... (truncated)

Commits
  • ee03c3c doc: restore sphinxbootstrap4theme in doc requirements
  • 94d14b2 fix: add sphinxcontrib-jquery to bring back JQuery for newer Sphinx versions
  • f73bbc4 fix: fix a circular import in RTD patched build
  • 8f54f85 doc: fix build of gallery examples on RTD
  • 502281f fix: RTD prebuild script should fail early if needed
  • 2c91847 chore: bumped version to 0.10.3
  • b4c04ab fix: test script now builds the C core of igraph for macOS 12.0
  • 6a65d16 chore: updated changelog
  • 7772cba chore: updated to igraph 0.10.3
  • 7f808bd chore: update vendored igraph
  • Additional commits viewable in compare view

Dependabot compatibility score

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.


Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

  • @dependabot rebase will rebase this PR
  • @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
  • @dependabot merge will merge this PR after your CI passes on it
  • @dependabot squash and merge will squash and merge this PR after your CI passes on it
  • @dependabot cancel merge will cancel a previously requested merge and block automerging
  • @dependabot reopen will reopen this PR if it is closed
  • @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
  • @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
  • @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

Bumps [python-igraph](https://github.com/igraph/python-igraph) from 0.8.3 to 0.10.3.
- [Release notes](https://github.com/igraph/python-igraph/releases)
- [Changelog](https://github.com/igraph/python-igraph/blob/master/CHANGELOG.md)
- [Commits](igraph/python-igraph@0.8.3...0.10.3)

---
updated-dependencies:
- dependency-name: python-igraph
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Jan 2, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
dependencies Pull requests that update a dependency file python Pull requests that update Python code
Projects
None yet
0 participants