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09e663427b
Updated refined investigation script for Erdős–Gyárfás Conjecture to include both DAG and FAMM components as requested. New components: - DAG (Directed Acyclic Graph) structure for temporal ordering - Topological layers encode temporal sequence - Acyclic constraint ensures no directed cycles - Temporal density measures cross-layer connectivity - FAMM delay lines for hippocampal temporal sequencing - Delay matrices capture multi-step temporal flow - Engram consolidation integrates weighted delays - Temporal integration measures cross-delay coherence Updated functions: - generate_dag_graph(): DAG construction with temporal layers - famm_delay_lines(): FAMM delay line application - dag_analysis(): DAG-specific metrics (topological depth, acyclic verification) - famm_analysis(): FAMM-specific metrics (engram strength, delay diversity) - investigate_erdos_gyarfas_refined(): Now uses DAG + FAMM methodology - analyze_investigation(): Includes DAG and FAMM metrics in analysis - main(): Updated to reflect DAG + FAMM methodology Methodology: - Generate DAG graph with temporal layers - Apply FAMM delay lines for temporal sequencing - Symmetrize graph for cycle detection (conjecture applies to undirected) - 4-primitive analysis + DAG + FAMM metrics Estimated time: 15-35 minutes for 25 graphs (n=[8,10,12,14,16], 5 samples each) |
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| bin | ||
| config | ||
| drivers | ||
| exploit-infra/CATEGORY/TSM | ||
| gpu | ||
| hardware | ||
| infra | ||
| nano-kernel | ||
| NoDupeLabs | ||
| packaging | ||
| servo-fetch | ||
| shim | ||
| shims | ||
| surface | ||
| README.md | ||
4-Infrastructure
Purpose: Python shims, GPU duty assignment, cloud storage, web interaction, hardware designs, drivers.
Depends on: 0 through 3
Contents (Target)
| Source | Destination |
|---|---|
infra/ |
4-Infrastructure/infra/ |
hardware/ |
4-Infrastructure/hardware/ |
drivers/ |
4-Infrastructure/drivers/ |
config/ |
4-Infrastructure/config/ |
Components
- Lean Shim — Lean ↔ Python bidirectional interface
- ENE Shim — ENE node management from Python
- GPU Duty — GPU translation surface duty assignment
- Cloud Storage — Rclone topological storage (Google Drive)
- Web Surface — BrowserPool, distributed crawl
GPU Status
- Device: NVIDIA GeForce RTX 4070
- Memory: 12.3GB total, ~10GB available
- CUDA: 13.0