PR/43790 CVS commit: pkgsrc/math/py-networkx

[Guillaume Lasmayous <gls%netbsd.org@localhost>]

The following reply was made to PR pkg/43790; it has been noted by GNATS.

From: Guillaume Lasmayous <gls%netbsd.org@localhost>
To: gnats-bugs%gnats.NetBSD.org@localhost
Cc: 
Subject: PR/43790 CVS commit: pkgsrc/math/py-networkx
Date: Fri, 27 Aug 2010 03:09:18 +0000

 Module Name:   pkgsrc
 Committed By:  gls
 Date:          Fri Aug 27 03:09:18 UTC 2010
 
 Modified Files:
        pkgsrc/math/py-networkx: Makefile PLIST distinfo
 
 Log Message:
 Update math/py-networkx to 1.2.
 From PR pkg/43790 by Kamel Derouiche
 
 pkgsrc changes:
 - re-set LICENSE (modified-bsd).
 
 upstream changes:
 
 Networkx-1.2
 
 Release date: 28 July 2010
 
 See: https://networkx.lanl.gov/trac/timeline
 New features
 
         * Ford-Fulkerson max flow and min cut
         * Closness vitality
         * Eulerian circuits
         * Functions for isolates
         * Simpler s_max generator
         * Compatible with IronPython-2.6
         * Improved testing functionality: import networkx; networkx.test() 
tests
  entire package and skips tests with missing optional packages
         * All tests work with Python-2.4
         * and more, see
 
https://networkx.lanl.gov/trac/query?status=closed&group=milestone&milestone=networkx-1.2
 
 Networkx-1.1
 
 Release date: 21 April 2010
 
 See: https://networkx.lanl.gov/trac/timeline
 New features
 
         * Algorithm for finding a basis for graph cycles
         * Blockmodeling
         * Assortativity and mixing matrices
         * in-degree and out-degree centrality
         * Attracting components and condensation.
         * Weakly connected components
         * Simpler interface to shortest path algorithms
         * Edgelist format to read and write data with attributes
         * Attribute matrices
         * GML reader for nested attributes
         * Current-flow (random walk) betweenness and closeness.
         * Directed configuration model, and directed random graph model.
         * Improved documentation of drawing, shortest paths, and other
  algorithms
         * Many more tests, can be run with ?import networkx; networkx.test()?
         * and much more, see
 
https://networkx.lanl.gov/trac/query?status=closed&group=milestone&milestone=networkx-1.1
 
 API Changes
 Returning dictionaries
 
 Several of the algorithms and the degree() method now return dictionaries keyed
 by node instead of lists. In some cases there was a with_labels keyword which 
is
 no longer necessary. For example,
 
 >>> G=nx.Graph()
 >>> G.add_edge('a','b')
 >>> G.degree() # returns dictionary of degree keyed by node
 {'a': 1, 'b': 1}
 
 Asking for the degree of a single node still returns a single number
 
 >>> G.degree('a')
 1
 
 The following now return dictionaries by default (instead of lists) and the
 with_labels keyword has been removed:
 
         * Graph.degree(), MultiGraph.degree(), DiGraph.degree(),
 DiGraph.in_degree(), DiGraph.out_degree(), MultiDiGraph.degree(),
 MultiDiGraph.in_degree(), MultiDiGraph.out_degree().
         * clustering(), triangles()
         * node_clique_number(), number_of_cliques(), cliques_containing_node()
         * eccentricity()
 
 The following now return dictionaries by default (instead of lists)
 
         * pagerank()
         * hits()
 
 Adding nodes
 
 add_nodes_from now accepts (node,attrdict) two-tuples
 
 >>> G=nx.Graph()
 >>> G.add_nodes_from([(1,{'color':'red'})])
 
 Examples
 
         * Mayvi2 drawing
         * Blockmodel
         * Sampson?s monastery
         * Ego graph
 
 Bug fixes
 
         * Support graph attributes with union, intersection, and other graph
 operations
         * Improve subgraph speed (and related algorithms such as
 connected_components_subgraphs())
         * Handle multigraphs in more operators (e.g. union)
         * Handle double-quoted labels with pydot
         * Normalize betweeness_centrality for undirected graphs correctly
         * Normalize eigenvector_centrality by l2 norm
         * read_gml() now returns multigraphs
 
 
 To generate a diff of this commit:
 cvs rdiff -u -r1.4 -r1.5 pkgsrc/math/py-networkx/Makefile
 cvs rdiff -u -r1.5 -r1.6 pkgsrc/math/py-networkx/PLIST
 cvs rdiff -u -r1.2 -r1.3 pkgsrc/math/py-networkx/distinfo
 
 Please note that diffs are not public domain; they are subject to the
 copyright notices on the relevant files.