Changes in version 1.0.0 (2026-09-02)                  

  - First public release.
  - cluster_milano(): community detection by maximising a
    persistence-based objective with the Milano local-search algorithm
    and multi-restart search. The objective is selected by H0:
    persistence probability (H0 = NULL), null-adjusted persistence / NAP
    (H0 = 0), or scaled null-adjusted persistence / Scaled-NAP (H0 in
    (0, 1]).
  - global_persistence() and local_persistence(): score a whole
    partition or a single community under the three measures.
  - Methods for base graphs (vertex/edge lists) and for 'igraph'
    objects.
  - Reproducible results from a master seed (SplitMix64-derived restart
    seeds), identical to the Python package and the command-line tool.