Log message:
math: Remove SHA1 hashes for distfiles

Log message:
py-networkx: updated to 2.5.1

2.5.1:
Bug fixes

Log message:
py-networkx: updated to 2.5

NetworkX 2.5

Highlights
----------
This release is the result of 10 months of work with over 200 commits by
92 contributors. Highlights include:

- Dropped support for Python 3.5.
- add Pathlib support to work with files.
- improve performance.
- Updated docs and tests.
- Removed code designed to work with Python 2.

New Functions:
- lukes_partitioning
- triadic analysis functions
- functions for trophic levels analysis
- d_separated
- is_regular and other regular graph measures
- graph_hash using Weisfeiler Lehman methods
- common_neighbor_centrality (CCPA link prediction)
- max_weight_clique
- path_weight and is_path
- rescale_layout_dict
- junction_tree

New generators:
- paley_graph
- interval_graph

New layouts:
- multipartite_layout

Improvements
------------
- Add governance documents, developer guide and community structures
- Implement explicit deprecation policy.
- Initiate an NX Enhancement Proposal (NXEP) system
- optimize single_source_shortest_path
- improved consistent "weight" specification in shortest_path routines
- Reduce numpy.matrix usage which is discouraged by numpy.
- improved line color
- better search engine treatment of docs
- lattice and grid_graph and grid_2d_graph can use dim=tuple
- fix initializer of kamada_kawai_layout algorithm
- moral and threshold functions now included in namespace and docs
- scale arrows better when drawing
- more uniform creation of random lobster graphs
- allow editing graph during iteration over connected_components
- better column handling in coversion of pandas DataFrame
- allow simrank_similarity with directed graph input
- ensure VoteRank ability is nonnegative
- speedup kernighan_lin_bisection
- speedup negative weight cycle detection
- tree_isomorphism
- rooted_tree_isomorphism
- Gexf edge attribute "label" is available

API Changes
-----------
- enabled "copy" flag parameter in `contracted_nodes`
- allow partially periodic lattices
- return value for minimum_st_node_cut now always a set
- removed unused "has_numpy" argument from create_py_random_state
- fixed return values when drawing empty nodes and edges
- allow sets and frozensets of edges as input to nx.Graph()
- "weight" can be function for astar, directional_dijksta, \ 
all_shortest_path
- allow named key ids for GraphML edge writing
- all keywords are now checked for validity in nx.draw and friends
- EdgeDataView "in" operator checks if nodes are "in nbunch"
- remove completeness condition from minimum weight full matching
- option to sort neighbors in bfs traversal
- draw_networkx accepts numpy array for edgelist
- relabel_nodes with 2 nodes mapped to same node can now create multiedge
- steiner_tree works with MultiGraph
- Add `show` kwarg to view_pygraphviz
- Prepare for turning chordal_graph_cliques into a generator
- GraphML reader keyword force_multigraph creates MultiGraph even w/o multiedges

Log message:
math/py-networkx: Fix running tests.

Log message:
py-networkx: updated to 2.4

2.4:
This release is the result of 6 months of work with over 200 commits by
67 contributors. Highlights include:

- Remove deprecated code from 1.x
- Support for Python 3.8
- Switched to pytest for testing
- Last release to support Python 3.5

New Functions:

- barycenter functions
- Bethe Hessian matrix function
- Eulerian Path methods
- group centrality measures
- subgraph monomorphisms
- k-truss algorithms
- onion decomposition
- resistance distance
- asteroidal triples
- non-randomness measures
- linear prufing
- minimum weight bipartite matching
- Incremental closeness centrality
- ISMAGS subgraph isomorphism algorithm
- create chordal graph of a graph

New generators

- Binomial tree generator
- Directed joint degree generator
- Random internet AS graph generator

New for Layouts

- spiral node layout routine
- support for 3d layouts

Improvements
------------
- allow average shortest path to use Floyd-Warshall method
- improve read/write of GML, GEXF, GraphML
- allow string or json object as input to jit_graph
- attempt to allow numpy.array input in place of lists in more places
- faster strongly connected components
- faster Floyd-Warshall Optimization
- faster global efficiency
- faster transitive closure
- fix unionfind; betweenness_subset; lexico-topo-sort; A*;
  inverse_line_graph; async label propagation; edgelist reading;
  Gomory-Hu flow method; label_propagation; partial_duplication;
  shell_layout with 1 node in shell; from_pandas_edgelist
- Documentation improvement and fixes

API Changes
-----------

A utility function is_list_of_ints became is_bunch_of_ints
and now tests int(item)==item instead of isinstance(_, int)
This allows e.g. floats whose values are integer.

Added utility make_list_of_ints to convert containers of
integer values to lists of integers

Deprecations
------------

Removed functions (marked as deprecated in NetworkX 2.1):

- attracting_component_subgraphs
- connected_component_subgraphs
- weakly_connected_component_subgraphs
- strongly_connected_component_subgraphs
- biconnected_component_subgraphs
- See docs for component functions for how to get subgraphs.

Graph Object methods removed (marked as deprecated 2.1)

- G.add_path
- G.add_cycle
- G.add_star
- G.nodes_with_selfloops
- G.number_of_selfloops
- G.selfloop_edges
- These are now NetworkX functions, e.g. nx.add_star(G, 5)
- G.node   --> use G.nodes
- G.fresh_copy   --> use G.__class__

Remove old names for graphview functions.

- ReverseView
- SubGraph
- SubMultiGraph
- SubMultiDiGraph
- SubDiGraph
- GraphView
- DiGraphView
- MultiGraphView
- MultiDiGraphView
- MultiReverseView
- Use reverse_view, subgraph_view and generic_graph_view.

Log message:
all: migrate several HOMEPAGEs to https

pkglint --only "https instead of http" -r -F

With manual adjustments afterwards since pkglint 19.4.4 fixed a few
indentations in unrelated lines.

This mainly affects projects hosted at SourceForce, as well as
freedesktop.org, CTAN and GNU.

Log message:
py-networkx: fix building; Python 2.7 is not supported

Log message:
py-networkx: fix building; Python 2.7 is not supported

Log message:
py-networkx: updated to 2.3

Announcement: NetworkX 2.3
==========================
We're happy to announce the release of NetworkX 2.3!
NetworkX is a Python package for the creation, manipulation, and study of the
structure, dynamics, and functions of complex networks.

For more information, please visit our website <http://networkx.github.io/>_
and our gallery of examples
<https://networkx.github.io/documentation/latest/auto_examples/index.html>_.
Please send comments and questions to the networkx-discuss mailing list
<http://groups.google.com/group/networkx-discuss>_.

Highlights
----------
This release is the result of 6 months of work with over 92 pull requests by
30 contributors. Highlights include:

- Dropped support for Python 2. We are no longer supporting Python 2.7 and we will
  start changing code to take advantage of Python 3 features we couldn't before.
- Added some Moral Graph analysis functions.
- Enable matplotlib drawing using curved arrows via connectionstyle parameter.
- Remove ticks and axes labels from matplotlib plots.
- Two new generators of Harary Graphs.
- Added Dual Barabasi-Albert model
- Added VoteRank algorithm
- Added Equitable coloring algorithms
- Added planar layout algorithms
- Les Miserables network example
- Javascript example update

Improvements
------------
- Change default colors to be color-blind friendly
- Many bug fixes and documentation improvements
- Speed up of simple_cycles
- Improvements for reading various formats like GML, GEXF, Graphml
- Allow subclassing to access node_attr_dict_factory

API Changes
-----------
- The G.fresh_copy() mechanism for creating an empty_graph of the same
  type (introduced in v2.0) does not playing nicely with pickle and others.
  So, we have removed the code that caused a need for that. Instead you
  should use the more natural G.__class__() syntax to get an empty_graph
  of the same type as G.

Deprecations
------------
- The Graph.fresh_copy() method should now use Graph.__class__()
- ReverseView class removed in favor of reverse_view() function.

Log message:
py-networkx: updated to 2.2

2.2:
This release is the result of 8 months of work with over 149 commits by
58 contributors. Highlights include:
- Add support for Python 3.7. This is the last release to support Python 2.
- Uniform random number generator (RNG) handling which defaults to global
  RNGs but allows specification of a single RNG for all random numbers in NX.
- Improved GraphViews to ease subclassing and remove cyclic references
  which caused trouble with deepcopy and pickle.
- New Graph method `G.update(H)`