executive: deliberation, state-query, roll-up, peer-alarm faculties + foundation#7
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… foundation Completes the executive faculty layer on the band foundation (public mirror): - temporal.py: SustainedLoadTracker Protocol + EwmaLoadTracker (EWMA + consecutive-breach) — the sole SPIKE-vs-SUSTAINED authority. Reuses sustained_load.LoadTrend (no shadow enum); strain is sustained > pivot, debt is sustained > danger_line (corrected thresholds, from the profile). - scale.py: ExecutiveScale / ScaleAxis + axis_of / physical_parent / entity_parent (entity, physical cell→rack→zone→region, grouping roll-up axes). - deliberation.py (+ _trajectory.TrajectoryClass): roll out N candidates, score each affected entity FROM ITS OWN FRAME (care-weight × φ-proportioned trajectory), disqualify floor-harm + net-negative-long-cycle extraction, surface trade-offs, arg-max long-horizon NPG. Perspective-taking = the empathy. - state_query.py: integrate a load history → energy / effort (slacking=avoidance) / trajectory + a human summary. - roll_up.py: aggregate member loads up a parent scale → distribution, worst member, over-load/idle failure-tell fractions. - peer_alarm.py: herd-panic correlation (N peers weird → enclosing scale) + alarm propagation (trust × independent-corroboration, panic-injection guard). Also scrubs an internal codename from the (already-merged) observed-graph test docstring. 91 executive conformance tests; pyright clean; pylint 10.00. Public — no internal lineage. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Summary
Completes the
substrate.executivefaculty layer on top of the band foundation (the first PR).Foundation
temporal—SustainedLoadTrackerProtocol +EwmaLoadTracker(EWMA + consecutive-breach): the sole SPIKE-vs-SUSTAINED authority, so the pivot and damage/debt fire by duration (a transient peak is absorbed). Reusessustained_load.LoadTrend(no shadow enum); corrected thresholds from the profile.scale—ExecutiveScale/ScaleAxis+axis_of/physical_parent/entity_parent(entity / physical cell→rack→zone→region / grouping roll-up axes).Faculties
deliberate— roll out N candidate actions, score each affected entity's impact from its own frame (care-weight × φ-proportioned trajectory), disqualify floor-harm + net-negative-long-cycle extraction, surface investment/extraction/redistributive trade-offs, pick the arg-max long-horizon net-potential-gain action. The perspective-taking is the empathy.integrate_state— integrate a load history → energy / effort (slacking = avoidance) / trajectory over time + a human-readable summary.roll_up— aggregate member loads up a parent scale → zone distribution, worst member, over-load/idle failure-tell fractions.correlate_anomalies/assess_alarm— herd-panic correlation (N peers weird together ⇒ the enclosing scale has a problem) + trust × independent-corroboration alarm weighting with a panic-injection guard.Also scrubs an internal codename from the (already-merged) observed-graph test docstring.
Verification
91 executive conformance tests; pyright clean; pylint 10.00. No internal lineage.