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Stream component and grouped score audits without hit materialization - #11

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codex/group-score-audit
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codex/per-sequence-weightsfrom
codex/group-score-audit

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@mikessh

@mikessh mikessh commented Oct 10, 2026

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Sparse component-ball audits can materialize millions of hits before adding group costs. Add a batched streaming reduction returning component counts, full-score counts and bounded nearest full scores without hit objects or dense matrices; preserve geometry, duplicate multiplicity, exact exclusion and threading.

Validation: 588 Python checks, C++ suite and warning-free Sphinx pass; dense oracle covers groups, positional weights, case-normalized exact exclusion and multiple threads. No statistical model or release change.

Co-Authored-By: Codex <noreply@openai.com>
@mikessh

mikessh commented Oct 11, 2026

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Superseded by the consolidated seqtree 1.1.0 release PR #13; its implementation and validation are retained there.

@mikessh mikessh closed this Oct 11, 2026
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mikessh deleted the codex/group-score-audit branch October 11, 2026 20:41
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