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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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											2014-09-17 15:26:53 +00:00
										 
									 
								 
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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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											2014-03-30 06:28:38 +00:00
										 
									 
								 
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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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