Changelog¶
All notable changes to this project will be documented here.
Format follows Keep a Changelog. Versions follow Semantic Versioning.
[Unreleased]¶
0.1.0 — 2026-05-06¶
Initial public release of the HOURS EOH framework.
Added¶
Core package (hours_eoh/core/)
- trajectory.py — Canonical arc, ε derivation, canonical_physical_state(), compute_epsilon()
- eoh_generation.py — Four EOH domain functions: personal_eoh, infrastructure_eoh, ecological_eoh, knowledge_eoh, total_eoh
- registration.py — Per-domain sigmoid admission curves; personal_eoh_registration_share (near-zero at ε=0), total_registration_share (labor composite)
- eoh_fulfillment.py — EOH → TEH pipeline: human_eoh_share, human_eoh_per_domain, registered_eoh, eoh_to_teh_pipeline
- multipliers.py — Condition II multiplier band and tier logic
- fiscal.py — Fiscal architecture: levies, stewardship and ecological allocations (co-equal), sufficiency guarantee, trust management, care stipend
- prices.py — Price dynamics tied to human labor content: basket_price, purchasing_power, floor_purchasing_power
- capital.py — Asset and human capital lifecycle: make_asset, birth_event, maturation_update, death_event, writedown_trigger, execute_writedown
- eoh_dynamics.py — Time-evolution: eoh_compounding, asset_condition_trajectory, regenerative_offset, eoh_reduction_ratio
- population.py — Population structure, age distribution, demographic events (aging)
- workforce.py — Workforce lifecycle, domain headcount, competency reserve, apply_death_redistribution
- conditions.py — Structural Conditions I–IV enforcement: balance_check, condition_iii_balance_growth_check
- dashboard.py — Condition monitors and EOH/fiscal health indicators
- civilization.py — Endogenous ε from capital stock: civilization_epsilon, CAPITAL_MACHINE_PROFILES
- simulation.py — Period simulation engine: make_economy_state, simulate_period
Land module (hours_eoh/land/)
- guf.py — Ground Use Fee framework (NLSA TM-0042, 7th Ed.): 14 functions from epsilon_scaling through guf_trust_inflow
Scenarios (hours_eoh/scenarios/)
- sweep.py — epsilon_sweep: arc coherence check with fiscal solvency at every ε
- shocks.py — automation_failure_shock, demographic_shock, ecological_eoh_spike
- maintenance.py — deferred_maintenance_crisis, care_registration_delay
- recovery.py — maintenance_recovery_schedule, minimum_fulfillment_for_recovery
- sensitivity.py — fiscal_parameter_sweep, eoh_arc_sensitivity, epsilon_delta_sensitivity
Research (hours_eoh/research/)
- investment.py — rank_investment_candidates, optimal_investment, eoh_reduction_ratio (re-exported from core)
- writedown.py — Placeholder: ecological write-down for collapse scenarios (eco-collapse-1, future work)
Test suite - 1040 tests across 20 test files covering the full arc from ε = 0 to ε = 0.99 - Phase tests (1–14) cover the complete development arc - Module tests cover trajectory, civilization ε, GUF, and all scenario modules
Design invariants established¶
- ε is a derived observable, not a policy lever or generation-function input
- EOH generation takes physical state; EOH fulfillment takes ε
data.pyis the single source of truth for all named constants- Per-domain registration split: personal uses demand sigmoid; non-personal use labor composite
- Ecological and stewardship allocations are co-equal (neither is residual)
- Zero interest (Condition III): balances grow only through labor
- All functions verified at ε = 0 (subsistence) and ε = 0.99 (effective post-scarcity)
Known gaps¶
- eco-collapse-1 — Ecological write-down for collapse scenarios not yet implemented (placeholder in
research/writedown.py)