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Add spirv_packet_generator.py: reads SPIR-V assembly, applies copy-if optimization (OpPhi→OpSelect transform), and emits JSON packet descriptors with the 5 OpPhi-derived fields (type_id, cond_id, true_val_id, false_val_id, result_id) that fully specify the packet layout. Add burgers_scar_filter.wgsl: 291-line WGSL compute shader for spectral scar filtering in 2D Burgers RG solver. Uses three copy-if patterns: 1. scar_pressure > threshold → apply hyperviscosity damping 2. |kx| > k_cut || |ky| > k_cut → zero (dealiasing) 3. factor < 0.999 → multiply velocity components Also fix spirv_copy_if_optimizer.py: OpSelect now uses phi_instr.args[0] (type operand) as its type, instead of compute_instr.result_id. This produces structurally correct SPIR-V where the result type matches the OpSelect opcode layout. Build: 3313 jobs, 0 errors (lake build) Tools: glslang, spirv-as, spirv-dis (native); tint from nixpkgs for WGSL |
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|---|---|---|
| .. | ||
| AppFlowy-Cloud | ||
| audio-dsp | ||
| audit | ||
| caddy-edge | ||
| cff | ||
| cluster-dashboard | ||
| compression-core | ||
| dashboard | ||
| hutter_prize | ||
| linear-native-tauri | ||
| nodupe | ||
| notion-native-tauri | ||
| out/verilog | ||
| parquet_compressor | ||
| pist-scripts | ||
| plugins/substack-connector | ||
| scripts | ||
| teleport-kanban | ||
| tests | ||
| text-to-cad | ||
| tools-scripts | ||
| webrtc-bridge | ||
| finance_manager.py | ||
| README.md | ||
| requirements_swarm_api.txt | ||
| visualizer_service.py | ||
5-Applications
Purpose: End-to-end pipelines, integration tests, automation scripts, benchmarks, audit.
Depends on: 0 through 4
Contents (Target)
| Source | Destination |
|---|---|
5-Applications/scripts/ |
5-Applications/scripts/ |
5-Applications/tests/ |
5-Applications/tests/ |
5-Applications/out/ |
5-Applications/out/ |
5-Applications/audit/ |
5-Applications/audit/ |
Scripts
build_manifold_graphml.pyexport_manifold_to_obsidian.pyhot_swap_daemon.pyhot_swap_manager.py
Pipeline
- Generate provably hard question (Builder: ADD clock)
- Route via OmnidirectionalInterface (Lean)
- Execute via DomainModelIntegration (Lean → Python shim)
- Store in Google Drive topological storage (Warden: SUBTRACT clock)
- Hardware triumvirate integration (Judge: PAUSE clock)