Date: 2026-01-12 Files Analyzed: 273 Framework: LJPW v6.0 (Quantum Resonance)
| Metric | Initial State | Post-Resonance State | Change |
|---|---|---|---|
| Average Harmony | 0.631 | 0.687 | +0.056 |
| System Status | Stable | Growing | - |
The system identified J as the primary deficit across the codebase.
- Love (L): 44 files (16.1%)
- Justice (J): 134 files (49.1%)
- Power (P): 79 files (28.9%)
- Wisdom (W): 16 files (5.9%)
Interpretation: The codebase is naturally gravitating toward J. This means the resonance dynamics indicate that adding more of this dimension is the most effective way to increase total system harmony.
Files that achieved the highest harmony after resonance cycles.
| Rank | File | Harmony | Deficit Resolved |
|---|---|---|---|
| 1 | analyze_self_fractally.py |
0.769 | J |
| 2 | calibrate_composition_rules.py |
0.769 | P |
| 3 | deep_fractal_analysis.py |
0.769 | P |
| 4 | iterate_to_100.py |
0.769 | J |
| 5 | ljpw_semantic_capabilities.py |
0.769 | J |
| 6 | master_grower.py |
0.769 | P |
| 7 | analyzer.py |
0.769 | P |
| 8 | bicameral_grow.py |
0.769 | J |
| 9 | bicameral_oscillation.py |
0.769 | J |
| 10 | dashboard.py |
0.769 | J |
Files trapped in low harmony states (likely constrained by ICE bounds).
| Rank | File | Harmony | Constraint |
|---|---|---|---|
| 1 | __init__.py |
0.531 | Execution (0.31) |
| 2 | __init__.py |
0.532 | Execution (0.31) |
| 3 | __init__.py |
0.534 | Execution (0.32) |
| 4 | test_semantic_resonance_analyzer.py |
0.545 | Execution (0.37) |
| 5 | test_resonance_grower.py |
0.545 | Execution (0.37) |
| 6 | test_resonance_engine.py |
0.545 | Execution (0.37) |
| 7 | test_ice_container.py |
0.545 | Execution (0.37) |
| 8 | test_resonance_grower.py |
0.545 | Execution (0.37) |
| 9 | test_resonance_analyzer.py |
0.547 | Execution (0.38) |
| 10 | grow_bicameral_agi.py |
0.550 | Execution (0.39) |
Average semantic coordinates across the project.
L (Love): 0.900
J (Justice): 0.698
P (Power): 0.791
W (Wisdom): 0.800
Generated by the Semantic Resonance Analyzer (v6.0)