Where a pseudo-translation is detected, the class vector is re-refined up a
ladder on the whole data by a greedy sweep over the 26 neighbours of the
current vector, each a cosine correlation over up to every acentric
reflection - seconds of one thread on the main path of the run (3.4 s and
1.5 s for the two calls on a P3_121 16M set).
The neighbours of the current vector are now evaluated together; the first
improvement in the sweep's own order is taken, and the neighbours after it
are evaluated again about the new vector - exactly the moves the serial
sweep makes. Each correlation is still one serial sum, so the result is
bit-identical. AnalyzeTranslationalNCS takes the thread count.
md5-identical output and report; 47.1 -> 44.4 s on that set.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01D1G8gJVAy6gp1K5Dz3NE5C
leonarski_fandClaude Opus 5.5
c244d384b0