Gate (2): measure the real scan path, price every entry, project the sweep
perf_gate.py runs sweep.scan_doc itself over a seeded reservoir sample (143 cases + 108 laws): 0.54 MB/s/core cases, 0.62 laws, cascade only 38 ms/MB. Projection from parquet counts: cases 330,518 doc-lang rows ~1.7 h at 4 BelowNormal workers (~1.1 h at 6), laws ~0.1 h. Top costs are grammar entries, not structure: ref.note-reference 213 ms/MB, cite.statute.toa 178, signal.aggressive 137 (signal vocab is ubiquitous, so prefilter headroom there is limited). Co-Authored-By: Claude Fable 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_012AgUm5EcRKbT3duVFMbrQD
| Repository | eliziff/Beaver |
|---|---|
| Author | Eli Ziff <eliasziff@gmail.com> |
| Authored | |
| Parents | a17781a3 |
| Stats | 1 file changed , +201 |
| Part of | Deterministic legal-text tools ("SLA audit organs") |
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