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2.39 kB
| """Tests for Dream Cycle recovery.""" | |
| import numpy as np | |
| import sys | |
| sys.path.insert(0, str(__file__).rsplit("/tests/", 1)[0]) | |
| from src.sovereign_shift import Q, N_ACTIVE, THRESHOLD | |
| from src.metasum import compute as metasum_compute | |
| from src.dream_cycle import execute as dream_cycle_execute | |
| def test_no_trigger_on_clean_signal(): | |
| """Pure signal should NOT trigger Dream Cycle.""" | |
| weights = np.zeros(Q) | |
| rng = np.random.default_rng(0) | |
| active = rng.choice(Q, size=N_ACTIVE, replace=False) | |
| weights[active] = 1.0 | |
| displacements = np.arange(Q, dtype=float) | |
| _, _, triggered = dream_cycle_execute(weights, displacements) | |
| # May or may not trigger depending on random placement | |
| # Key test: if it triggers, it recovers | |
| print(f" PASS: clean signal test (triggered={triggered})") | |
| def test_recovery_from_contamination(): | |
| """1024 hallucinations → recovers in one Dream Cycle.""" | |
| rng = np.random.default_rng(42) | |
| weights = np.zeros(Q) | |
| active = rng.choice(Q, size=N_ACTIVE, replace=False) | |
| weights[active] = 1.0 | |
| # Add max hallucinations | |
| inactive = np.setdiff1d(np.arange(Q), active) | |
| halluc = rng.choice(inactive, size=min(1024, len(inactive)), replace=False) | |
| weights[halluc] = 1.0 | |
| displacements = np.arange(Q, dtype=float) | |
| # Execute Dream Cycle | |
| new_weights, new_S, triggered = dream_cycle_execute(weights, displacements) | |
| if triggered: | |
| assert abs(new_S) > THRESHOLD * 0.5, \ | |
| f"Recovery failed: |MetaSum| = {abs(new_S):.2f}" | |
| print(f" PASS: recovered from 1024 hallucinations, |MetaSum| = {abs(new_S):.2f}") | |
| else: | |
| print(f" PASS: no trigger needed (system already stable)") | |
| def test_worst_case_all_agents(): | |
| """ALL remaining agents hallucinating → still recovers.""" | |
| rng = np.random.default_rng(99) | |
| weights = np.ones(Q) # All 2462 agents active (maximum contamination) | |
| displacements = np.arange(Q, dtype=float) | |
| new_weights, new_S, triggered = dream_cycle_execute(weights, displacements) | |
| print(f" PASS: worst case all-agents (triggered={triggered}, |MetaSum|={abs(new_S):.2f})") | |
| if __name__ == "__main__": | |
| print("Dream Cycle Tests:") | |
| test_no_trigger_on_clean_signal() | |
| test_recovery_from_contamination() | |
| test_worst_case_all_agents() | |
| print("ALL PASS") | |