← Session 3 — Project kickoff: RH blueprint, staged workflow + archive design
thinking (255 chars)
Parallel run launched with 15 workers. Each block ~667 zeros; at single-core rate ~2-8 zeros/sec, slowest block maybe ~5-8 min. Should finish within the 10-min window hopefully; if not, resume completes the rest (parts are atomic). Report to user briefly.
Diagnosis confirmed and fixed. Here's what happened and the upgrade:
**The bug:** the last window actually *computed* zeros 3001–4000, but Python's file buffer was never flushed before the timeout killed the process — so those rows were lost. Per-row `flush()` is now in, which fits the project's crash-safe design philosophy.
**The upgrade:** rewrote E-002 to use **15 parallel workers** (leaving one core for the OS). Each worker computes a contiguous block of zeros independently, writes to its own atomic part-file, and the main process merges. Expected: the full 10,000 in a few minutes instead of ~70.
It's running now with `--force` (clean recomputation at uniform 25-digit precision). I'll report as soon as it finishes and then immediately run E-003 (the finite-G̃ matrix verification) to close out Phase 0.
raw content_json (database row)
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