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pkgsrc/math/py-networkx/PLIST
gls 6e64bd929f 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
2010-08-27 03:09:18 +00:00

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@comment $NetBSD: PLIST,v 1.6 2010/08/27 03:09:18 gls Exp $
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${PYSITELIB}/networkx/generators/ego.py
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${PYSITELIB}/networkx/generators/stochastic.py
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${PYSITELIB}/networkx/tests/test_convert_scipy.py
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${PYSITELIB}/networkx/version.py
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share/doc/networkx-${PKGVERSION}/INSTALL.txt
share/doc/networkx-${PKGVERSION}/LICENSE.txt
share/doc/networkx-${PKGVERSION}/README.txt
share/doc/networkx-${PKGVERSION}/examples/advanced/eigenvalues.py
share/doc/networkx-${PKGVERSION}/examples/advanced/heavy_metal_umlaut.py
share/doc/networkx-${PKGVERSION}/examples/advanced/iterated_dynamical_systems.py
share/doc/networkx-${PKGVERSION}/examples/algorithms/blockmodel.py
share/doc/networkx-${PKGVERSION}/examples/algorithms/davis_club.py
share/doc/networkx-${PKGVERSION}/examples/algorithms/hartford_drug.edgelist
share/doc/networkx-${PKGVERSION}/examples/algorithms/krackhardt_centrality.py
share/doc/networkx-${PKGVERSION}/examples/basic/properties.py
share/doc/networkx-${PKGVERSION}/examples/basic/read_write.py
share/doc/networkx-${PKGVERSION}/examples/drawing/atlas.py
share/doc/networkx-${PKGVERSION}/examples/drawing/chess_masters.py
share/doc/networkx-${PKGVERSION}/examples/drawing/chess_masters_WCC.pgn.bz2
share/doc/networkx-${PKGVERSION}/examples/drawing/circular_tree.py
share/doc/networkx-${PKGVERSION}/examples/drawing/degree_histogram.py
share/doc/networkx-${PKGVERSION}/examples/drawing/edge_colormap.py
share/doc/networkx-${PKGVERSION}/examples/drawing/ego_graph.py
share/doc/networkx-${PKGVERSION}/examples/drawing/four_grids.py
share/doc/networkx-${PKGVERSION}/examples/drawing/giant_component.py
share/doc/networkx-${PKGVERSION}/examples/drawing/house_with_colors.py
share/doc/networkx-${PKGVERSION}/examples/drawing/knuth_miles.py
share/doc/networkx-${PKGVERSION}/examples/drawing/knuth_miles.txt.gz
share/doc/networkx-${PKGVERSION}/examples/drawing/labels_and_colors.py
share/doc/networkx-${PKGVERSION}/examples/drawing/lanl_routes.edgelist
share/doc/networkx-${PKGVERSION}/examples/drawing/lanl_routes.py
share/doc/networkx-${PKGVERSION}/examples/drawing/mayavi2_spring.py
share/doc/networkx-${PKGVERSION}/examples/drawing/node_colormap.py
share/doc/networkx-${PKGVERSION}/examples/drawing/random_geometric_graph.py
share/doc/networkx-${PKGVERSION}/examples/drawing/sampson.py
share/doc/networkx-${PKGVERSION}/examples/drawing/simple_path.py
share/doc/networkx-${PKGVERSION}/examples/drawing/unix_email.mbox
share/doc/networkx-${PKGVERSION}/examples/drawing/unix_email.py
share/doc/networkx-${PKGVERSION}/examples/drawing/weighted_graph.py
share/doc/networkx-${PKGVERSION}/examples/graph/atlas.py
share/doc/networkx-${PKGVERSION}/examples/graph/atlas2.py
share/doc/networkx-${PKGVERSION}/examples/graph/degree_sequence.py
share/doc/networkx-${PKGVERSION}/examples/graph/erdos_renyi.py
share/doc/networkx-${PKGVERSION}/examples/graph/expected_degree_sequence.py
share/doc/networkx-${PKGVERSION}/examples/graph/football.py
share/doc/networkx-${PKGVERSION}/examples/graph/karate_club.py
share/doc/networkx-${PKGVERSION}/examples/graph/knuth_miles.py
share/doc/networkx-${PKGVERSION}/examples/graph/knuth_miles.txt.gz
share/doc/networkx-${PKGVERSION}/examples/graph/napoleon_russian_campaign.py
share/doc/networkx-${PKGVERSION}/examples/graph/roget.py
share/doc/networkx-${PKGVERSION}/examples/graph/roget_dat.txt.gz
share/doc/networkx-${PKGVERSION}/examples/graph/unix_email.mbox
share/doc/networkx-${PKGVERSION}/examples/graph/unix_email.py
share/doc/networkx-${PKGVERSION}/examples/graph/words.py
share/doc/networkx-${PKGVERSION}/examples/graph/words_dat.txt.gz
share/doc/networkx-${PKGVERSION}/examples/multigraph/chess_masters.py
share/doc/networkx-${PKGVERSION}/examples/multigraph/chess_masters_WCC.pgn.bz2
share/doc/networkx-${PKGVERSION}/examples/pygraphviz/pygraphviz_attributes.py
share/doc/networkx-${PKGVERSION}/examples/pygraphviz/pygraphviz_draw.py
share/doc/networkx-${PKGVERSION}/examples/pygraphviz/pygraphviz_simple.py
share/doc/networkx-${PKGVERSION}/examples/pygraphviz/write_dotfile.py
@pkgdir share/doc/networkx-${PKGVERSION}/examples/readwrite
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