Changelog for
python38-networkx-2.6.3-qubes.3.19.noarch.rpm :
* Tue Dec 07 2021 Steve Kowalik
- Add patch xfail-pydot-tests.patch:
* From upstream, survive pydot test failures.
* Wed Oct 13 2021 Fabrice Bauzac - update to 2.6.3:
* Fix modularity functions (gh#networkx/networkx#5072)
* CI/MAINT: drop gdal tests (gh#networkx/networkx#5068)
* modularity_max: provide labels to get_edge_data (gh#networkx/networkx#4965)
* Improvements to greedy_modularity_community (gh#networkx/networkx#4996)
* use weight arg instead of \'weight\' key at greedy_modularity_communities()
* modularity_max: breaking the loop when given community size is reached (gh#networkx/networkx#4950)
* modularity_max: allow input of desired number of communities
* greedy_modularity_communities with digraphs and multi(di)graphs (gh#networkx/networkx#5007) (gh#networkx/networkx#5007)
* Allow greedy_modularity_communities to use floating point weights or resolution (gh#networkx/networkx#5065)
* change i,j,k notation to u,v,w (no indexes since gh#networkx/networkx#5007)
* Mon Aug 02 2021 Dirk Müller - require pandas
* Wed Jul 28 2021 Dirk Müller - update to 2.6.2:
* This release is the result of 11 months of work with over 363 pull requests by 91 contributors. Highlights include:
* Dropped support for Python 3.6.
* NumPy, SciPy, Matplotlib, and pandas are now default requirements.
* NetworkX no longer depends on the library \"decorator\".
* Improved example gallery
* Removed code for supporting Jython/IronPython
* The __str__ method for graph objects is more informative and concise.
* Improved import time
* Improved test coverage
* New documentation theme
* Add functionality for drawing self-loop edges
* Add approximation algorithms for Traveling Salesman Problem- drop 0001-Replace-hash-function-for-test-of-weighted-astar.patch, yaml-loader.patch (merged upstream)
* Tue May 18 2021 Dirk Müller - update to 2.5.1:
* pin requirements
* Tue Feb 23 2021 Ben Greiner - Refine the optional test dependencies. We want to test python39 in the future.
* Sat Feb 20 2021 John Vandenberg - Re-enable Python 3.6 builds without optional dependencies- Add test dependencies lxml, pandas and pygraphviz
* Mon Feb 01 2021 Benjamin Greiner - Disable python36 build for good. Next up is SciPy 1.6.0 dropping Python 3.6 because of NEP 29.- Mark the doc package files as doc.
* Sat Jan 30 2021 Ben Greiner - Temporarily reenable python36 build until SciPy is updated, because the PyYAML fix needs to be merged first
* Wed Jan 27 2021 Markéta Machová - Add yaml-loader.patch adding support for new PyYAML
* Mon Jan 18 2021 Benjamin Greiner - Skip python36 because of SciPy 1.6.0
* Tue Oct 06 2020 Antonio Larrosa - Add patch from upstream that fixes gh#networkx/networkx#4203)
* 0001-Replace-hash-function-for-test-of-weighted-astar.patch- Drop patch that is not needed anymore:
* disable-test-failing-in-i586.patch
* Fri Sep 11 2020 Antonio Larrosa - Update to 2.5:
* Highlights: + Dropped support for Python 3.5. + add Pathlib support to work with files. + improve performance. + Updated docs and tests. + Removed code designed to work with Python 2.
* New Functions: + lukes_partitioning + triadic analysis functions + functions for trophic levels analysis + d_separated + is_regular and other regular graph measures + graph_hash using Weisfeiler Lehman methods + common_neighbor_centrality (CCPA link prediction) + max_weight_clique + path_weight and is_path + rescale_layout_dict + junction_tree
* New generators: + paley_graph + interval_graph
* New layouts: + multipartite_layout- To see improvements, API changes and deprecations, please visit: https://networkx.github.io/documentation/stable/release/release_2.5.html- Dropped patches already included by upstream:
* numpy-38-test.patch
* matplotlib.patch
* networkx-pr4012-use-mpl.patch- Add patch to remove a failing test in i586. The issue was submitted to upstream at gh#networkx/networkx#4203:
* disable-test-failing-in-i586.patch
* Tue Jul 21 2020 Benjamin Greiner - gh#networkx/networkx#4012 networkx-pr4012-use-mpl.patch new matplotlib removed keyword argument \'warn\' for mpl.use()
* Tue Jul 07 2020 Matej Cepl - We don\'t need to skip TestKatzCentralityDirectedNumpy when we don\'t use -n auto parameter of pytest (gh#networkx/networkx#4030)
* Mon Jun 29 2020 Matej Cepl - Skipping over test_subgraph_centrality_big_graph is not necessary anymore (gh#networkx/networkx#3304)
* Wed Apr 01 2020 Tomáš Chvátal - Add patch to fix matplotlib deprecation:
* matplotlib.patch- Skip two tests that keep failing everywhere
* Fri Nov 22 2019 steven.kowalikAATTsuse.com- Drop incorrectly calculated dependency on python33- Switch to using %pytest macro
* Sun Nov 17 2019 Steve Kowalik - Update to version 2.4 Highlights:
* Remove deprecated code from 1.x
* Support for Python 3.8
* Switched to pytest for testing
* Last release to support Python 3.5
* Fifteen new fuctions, including onion decomposition and linear prufing
* Three new generators, such as a directed joint degree generator- Add numpy-38-test.patch, to correct test failure under Python 3.8- Update URL, upstream changed to tarballs from zipfiles.
* Tue Jul 23 2019 Todd R - Update to version 2.3 Highlights:
* Dropped support for Python 2. We are no longer supporting Python 2.7 and we will start changing code to take advantage of Python 3 features we couldn\'t before.
* Added some Moral Graph analysis functions.
* Enable matplotlib drawing using curved arrows via connectionstyle parameter.
* Remove ticks and axes labels from matplotlib plots.
* Two new generators of Harary Graphs.
* Added Dual Barabasi-Albert model
* Added VoteRank algorithm
* Added Equitable coloring algorithms
* Added planar layout algorithms
* Les Miserables network example
* Javascript example update
* Tue Jan 22 2019 Matej Cepl - Switch off test_subgraph_centrality_big_graph test, as it leads to crashes on i586, gh#networkx/networkx#3304.
* Fri Jan 04 2019 Jan Engelhardt - Fix incomplete summary. Trim filler wording from description.
* Wed Jan 02 2019 Martin Pluskal - Update to version 2.2:
* Add support for Python 3.7. This is the last release to support Python 2.
* Uniform random number generator (RNG) handling which defaults to global RNGs but allows specification of a single RNG for all random numbers in NX.
* Improved GraphViews to ease subclassing and remove cyclic references which caused trouble with deepcopy and pickle.
* New Graph method G.update(H)- Run tests- Update project url
