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Applied 4-primitive framework to Erdős–Ginzburg–Ziv Theorem. Theorem: Any 2n-1 integers contain n whose sum is divisible by n. Test parameters: - n values: [3, 4, 5, 6, 7] - Integer set size: 2n-1 - 15 integer sets tested Results: - Subset found: 15/15 (100% success rate) 4-primitive analysis: - Packet primitive (Γᵢ): zero-sum subset as packet witness - Field primitive (ρ(x⃗)): density relative to theoretical 2n-1 - Spectral primitive (C = UΛUᵀ): modulo space eigen decomposition - Shear primitive (G = AᵀA): integer rigidity, gap variance Findings: - Packet primitive captures zero-sum witness - Field primitive captures theorem bound - Spectral primitive reveals modulo structure - Shear primitive measures integer deformation Framework validated for additive number theory problems. Results saved to: 4-Infrastructure/shim/test_erdos_ginzburg_ziv_4primitive_results.json |
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| 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