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