forked from pool/python-networkx
bd89816d4f
1 OBS-URL: https://build.opensuse.org/request/show/259014 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-networkx?expand=0&rev=5
97 lines
4.3 KiB
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97 lines
4.3 KiB
Plaintext
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Thu Oct 30 10:46:52 UTC 2014 - tbechtold@suse.com
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- update to version 1.9.1:
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* Bugfix release for minor installation and documentation issues
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- Don't BuildRequire/Recommend matplotlib and scipy on SLE11
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and SLE12. Both are not available there.
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Fri Oct 24 09:35:49 UTC 2014 - toddrme2178@gmail.com
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- Add python-decorator in requires to buildrequires
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Mon Sep 15 14:49:41 UTC 2014 - tbechtold@suse.com
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- update to version 1.9:
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* The flow package (networkx.algorithms.flow) is completely rewritten
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with backward incompatible changes. It introduces a new interface
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to flow algorithms. Existing code that uses the flow package will
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not work unmodified with NetworkX 1.9.
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* We added two new maximum flow algorithms (preflow_push and
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shortest_augmenting_path) and rewrote All maximum flow algorithm
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implementations (including the legacy ford_fulkerson) output now
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a residual network (i.e., a DiGraph) after computing the maximum
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flow. See maximum_flow documentation for the details on the
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conventions that NetworkX uses for defining a residual network.
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* We removed the old max_flow and min_cut functions. The main entry
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points to flow algorithms are now the functions maximum_flow,
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maximum_flow_value, minimum_cut and minimum_cut_value, which have
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new parameters that control maximum flow computation: flow_func
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for specifying the algorithm that will do the actual computation
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(it accepts a function as argument that implements a maximum flow
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algorithm), cutoff for suggesting a maximum flow value at which the
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algorithm stops, value_only for stopping the computation as soon as
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we have the value of the flow, and residual that accepts as argument
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a residual network to be reused in repeated maximum flow computation.
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* All flow algorithms are required to accept arguments for these parameters
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but may selectively ignored the inapplicable ones. For instance,
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preflow_push algorithm can stop after the preflow phase without computing
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a maximum flow if we only need the flow value, but both edmonds_karp and
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shortest_augmenting_path always compute a maximum flow to obtain the
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low value.
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* The new function minimum_cut returns the cut value and a node partition
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that defines the minimum cut. The function minimum_cut_value returns
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only the value of the cut, which is what the removed min_cut function
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used to return before 1.9.
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* The functions that implement flow algorithms (i.e., preflow_push,
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edmonds_karp, shortest_augmenting_path and ford_fulkerson) are not
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imported to the base NetworkX namespace. You have to explicitly import
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them from the flow package.
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* We also added a capacity-scaling minimum cost flow algorithm: capacity
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scaling. It supports MultiDiGraph and disconnected networks.
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- Add python-decorator as Requires
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Mon Dec 9 13:26:37 UTC 2013 - toddrme2178@gmail.com
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- Add optional dependencies as Recommends
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Sun Dec 8 13:49:40 UTC 2013 - p.drouand@gmail.com
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- Update to version 1.8.1
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+ No changelog available
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Tue Jan 31 14:42:25 UTC 2012 - saschpe@suse.de
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- Don't package INSTALL.txt and other docs twice
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Thu Jan 12 14:52:26 UTC 2012 - saschpe@suse.de
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- Spec file cosmetics
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Wed Jan 11 14:56:08 UTC 2012 - toddrme2178@gmail.com
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- Cleaned up spec file
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- Renamed package from python-NetworkX to python-networkx to match the module name
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Thu Sep 8 20:27:43 UTC 2011 - alinm.elena@gmail.com
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- initial commit
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Fri Feb 6 00:00:00 UTC 2009 - urs.beyerle@env.ethz.ch
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- update to 0.99
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Thu Jun 26 00:00:00 UTC 2008 - ti.eugene@gmail.com
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- Initial build
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