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Accepting request 249853 from devel:languages:python

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OBS-URL: https://build.opensuse.org/request/show/249853
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-networkx?expand=0&rev=3
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Stephan Kulow 2014-09-17 15:26:53 +00:00 committed by Git OBS Bridge
parent 30677eea5f
commit 88bb1bea57
4 changed files with 51 additions and 7 deletions
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3
networkx-1.8.1.tar.gz
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size 806766

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networkx-1.9.tar.gz Normal file
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python-networkx.changes
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-------------------------------------------------------------------
Mon Sep 15 14:49:41 UTC 2014 - tbechtold@suse.com
- update to version 1.9:
* The flow package (networkx.algorithms.flow) is completely rewritten
with backward incompatible changes. It introduces a new interface
to flow algorithms. Existing code that uses the flow package will
not work unmodified with NetworkX 1.9.
* We added two new maximum flow algorithms (preflow_push and
shortest_augmenting_path) and rewrote All maximum flow algorithm
implementations (including the legacy ford_fulkerson) output now
a residual network (i.e., a DiGraph) after computing the maximum
flow. See maximum_flow documentation for the details on the
conventions that NetworkX uses for defining a residual network.
* We removed the old max_flow and min_cut functions. The main entry
points to flow algorithms are now the functions maximum_flow,
maximum_flow_value, minimum_cut and minimum_cut_value, which have
new parameters that control maximum flow computation: flow_func
for specifying the algorithm that will do the actual computation
(it accepts a function as argument that implements a maximum flow
algorithm), cutoff for suggesting a maximum flow value at which the
algorithm stops, value_only for stopping the computation as soon as
we have the value of the flow, and residual that accepts as argument
a residual network to be reused in repeated maximum flow computation.
* All flow algorithms are required to accept arguments for these parameters
but may selectively ignored the inapplicable ones. For instance,
preflow_push algorithm can stop after the preflow phase without computing
a maximum flow if we only need the flow value, but both edmonds_karp and
shortest_augmenting_path always compute a maximum flow to obtain the
low value.
* The new function minimum_cut returns the cut value and a node partition
that defines the minimum cut. The function minimum_cut_value returns
only the value of the cut, which is what the removed min_cut function
used to return before 1.9.
* The functions that implement flow algorithms (i.e., preflow_push,
edmonds_karp, shortest_augmenting_path and ford_fulkerson) are not
imported to the base NetworkX namespace. You have to explicitly import
them from the flow package.
* We also added a capacity-scaling minimum cost flow algorithm: capacity
scaling. It supports MultiDiGraph and disconnected networks.
- Add python-decorator as Requires
-------------------------------------------------------------------
Mon Dec 9 13:26:37 UTC 2013 - toddrme2178@gmail.com

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python-networkx.spec
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#
# spec file for package python-networkx
#
# Copyright (c) 2013 SUSE LINUX Products GmbH, Nuernberg, Germany.
# Copyright (c) 2014 SUSE LINUX Products GmbH, Nuernberg, Germany.
#
# All modifications and additions to the file contributed by third parties
# remain the property of their copyright owners, unless otherwise agreed
@ -17,12 +17,12 @@
Name: python-networkx
Version: 1.8.1
Version: 1.9
Release: 0
License: BSD-3-Clause
Summary: Python package for the creation, manipulation,
Url: http://networkx.lanl.gov
License: BSD-3-Clause
Group: Development/Languages/Python
Url: http://networkx.lanl.gov
Source: http://pypi.python.org/packages/source/n/networkx/networkx-%{version}.tar.gz
BuildRequires: fdupes
BuildRequires: python-PyYAML
@ -33,6 +33,8 @@ BuildRequires: python-pydot
BuildRequires: python-pygraphviz
BuildRequires: python-pyparsing
BuildRequires: python-scipy
BuildRequires: python-setuptools
Requires: python-decorator >= 3.4.0
Recommends: python-matplotlib
Recommends: python-numpy
Recommends: python-pydot