Bump networkx from 3.0 to 3.3

[dependabot]

Bumps networkx from 3.0 to 3.3.

Release notes

Sourced from networkx's releases.

NetworkX 3.3

networkx 3.3

We're happy to announce the release of networkx 3.3!

API Changes

• Disallow negative number of nodes in complete_multipartite_graph (#7057).
• DEP: Deprecate the all_triplets one-liner (#7060).
• [A-star] Added expansion pruning via cutoff if cutoff is provided (#7073).
• Make HITS raise exceptions consistent with power iterations (#7084).
• DEP: Deprecate random_triad (#7061).
• Added feature modular graph product (#7227).
• ENH: Speed up common/non_neighbors by using _adj dict operations (#7244).
• Deprecate the create argument of nonisomorphic_trees (#7316).
• Improve total_spanning_tree_weight (#7100).
• Update init.py (#7320).
• add **kwargs to traveling_salesman_problem (#7371).

Enhancements

• Add Tadpole graph (#6999).
• [A-star] Added expansion pruning via cutoff if cutoff is provided (#7073).
• Implementation of $S^1$ model (#6858).
• [Feat] Random expanders utilities (#6761).
• Compare graphs for generator functions when running tests with backend (#7066).
• Add Kirchhoff index / Effective graph resistance (#6926).
• Changed return types of shortest path methods to improve consistency (#6584).
• New PR for Fixes minimal d-separator function failing to handle cases where no d-separators exist (#7019).
• ENH : Provide non-normalized and normalized directed laplacian matrix calculation (#7199).
• feat: drop the use of node attribute "first_nbr" in PlanarEmbedding (#7202).
• Add functions to compute Schultz and Gutman Index (#3709).
• Divisive community algorithms (#5830).
• Added feature modular graph product (#7227).
• ENH : added sort_neighbors to all functions in depth_first_search.py (#7196).
• New graph generator for the Kneser graph (#7146).
• Draw MultiDiGraph edges and labels qa7008 (#7010).
• Use github actions to run a comparison benchmark (#7268).
• BFS layout implementation (#5179).
• Add max_level= argument to louvain_communities to limit macro-iterations (#6909).
• Review and update @nx._dispatchable usage since 3.2.1 (#7302).
• Transmogrify _dispatchable objects into functions (#7298).
• fix: make PlanarEmbedding.copy() use add_edges_from() from parent (closes #7223) (#7224).
• Allow seed of np.random instance to exactly produce arbitrarily large integers (#6869).
• Improve total_spanning_tree_weight (#7100).
• add seed to nx.generate_random_paths (#7332).
• Allow backends to implement should_run (#7257).
• Adding tree broadcasting algorithm in a new module (#6928).
• Option to include initial labels in weisfeiler_lehman_subgraph_hashes (#6601).
• Add better error message when trying to get edge that is not present (#7245).

... (truncated)

Commits

• 7fdddfa Designate 3.3 release
• 7fe09dd Bump the GH actions with 3 updates (#7310)
• 83d2cf4 Move the backend docs and connect the config docs. Both in a single sidebar e...
• 754173b Fix exception for del config[key] (#7391)
• 26d218b Rm deprecated np.row_stack in favor of vstack. (#7390)
• 0d878d8 Update test suite to handle when scipy is not installed (#7388)
• fbb2d82 Add dispatching to broadcasting.py (#7386)
• 76c3e9b Fix pygraphviz tests causing segmentation faults in backend test (#7380)
• c8c838f add **kwargs to traveling_salesman_problem (#7371)
• 6e84e1e ENH: Cache graphs objects when converting to a backend (#7345)
• Additional commits viewable in compare view

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