# Getting Started — Observerless Research Stack Start here. Every command on this page is copy-pasteable and verified against the repo. --- ## 1. Prerequisites | Tool | Minimum Version | Check | |------|----------------|-------| | Lean 4 (via `elan`) | `v4.30.0-rc2` | `lean --version` | | Python | 3.10+ | `python3 --version` | | Git | 2.x | `git --version` | | Node.js (optional) | 18+ | `node --version` | ## 2. Installation ### 2.1 Install Lean 4 via elan ```bash curl -sSf https://raw.githubusercontent.com/leanprover/elan/master/elan-init.sh | bash source ~/.bashrc elan default leanprover/lean4:stable ``` Verify: ```bash lean --version # Lean (version 4.29.1, ...) ``` ### 2.2 Clone the Repository ```bash git clone Research-Stack cd Research-Stack ``` ### 2.3 Set the Lean Toolchain Version The project pins Lean at `v4.30.0-rc2`. Make sure elan respects it: ```bash cd 0-Core-Formalism/lean/Semantics elan show cd ../../.. ``` `elan` should auto-detect `lean-toolchain` in the `Semantics/` directory and download the correct version when you run `lake build`. ### 2.4 Python Virtual Environment (Optional) Only needed if you plan to run Python scripts that pull in packages (e.g., the swarm scripts, RG-flow filter, or PIST compression). ```bash python3 -m venv .venv source .venv/bin/activate pip install -r 5-Applications/requirements_swarm_api.txt # most scripts use this ``` ### 2.5 Environment Variables Copy the template and fill in what you need: ```bash cp .env .env.local # edit .env.local, it's gitignored ``` **Required** only if you use the corresponding feature: | Variable | Needed For | |----------|------------| | `DEEPSEEK_API_KEY` | Swarm scripts calling DeepSeek | | `QUANDELA_API_KEY` | Quantum compute backend | | `WOLFRAM_ALPHA_APPID` | Math verification with Wolfram | | `LINEAR_API_KEY` | Linear issue tracking integration | | `NEO4J_*` | Graph database ingestion | | others | Optional — ignore the placeholders | **You can build and run Lean modules without setting any env vars.** --- ## 3. Build the Core (Lean Proofs) The mathematical core lives in `0-Core-Formalism/lean/Semantics/`. It contains 3,500+ verified proofs. ```bash cd 0-Core-Formalism/lean/Semantics lake build ``` This compiles: - `Semantics` — the main library (AVM, FixedPoint, orchestration, topology) - `PIST` / `FAMM` / `ExtensionScaffold` / `Biology` — linked libraries - Executables: `bindserver`, `searchserver`, `openworm_benchmark`, `moim_benchmark`, etc. Expected output: ``` Build completed successfully. (takes ~1-2 minutes first time) ``` ### What Gets Compiled ``` Semantics.lean → umbrella module Semantics/FixedPoint.lean → Q0_16 & Q16_16 fixed-point arithmetic (no floats) Semantics/FNWH/BurgersAVM.lean → Burgers equation AVM programs with correctness proofs Semantics/*.lean → orchestration, network, coupling, extraction layers ``` ### Build the Static Binary (Optional) ```bash make -C build-static ``` --- ## 4. Run Tests ### 4.1 Lean Tests (`#eval` in the REPL) Open any `.lean` file in VS Code (with the `lean4` extension) and evaluate expressions inline. Example in `Semantics/FixedPoint.lean`: ```lean #eval Semantics.FixedPoint.Q0_16.one #eval Semantics.FixedPoint.Q16_16.add (Semantics.FixedPoint.Q16_16.ofFloat 3.14) (Semantics.FixedPoint.Q16_16.ofFloat 2.71) ``` Example in `Semantics/FNWH/BurgersAVM.lean` (run `SemanticsCli` or evaluate inline): ```lean #eval Semantics.FNWH.BurgersAVM.kappa ``` Lean theorems serve as tests — if `lake build` passes, all 3,500+ proofs are verified. ### 4.2 Python Tests No `pytest` harness is wired at the repo root. Most Python scripts are self-contained research harnesses. To run a few quick ones: ```bash cd /home/allaun/CascadeProjects/Research-Stack # Quick smoke test — PIST-GCL compression on synthetic data python3 5-Applications/pist-scripts/pist_gcl_compression.py # Run the end-to-end pipeline test python3 5-Applications/scripts/end_to_end_pipeline_test.py # Run the English manifold builder (compresses English via grammar shapes) python3 5-Applications/scripts/redpajama_english_manifold.py ``` ### 4.3 Lean Benchmarks ```bash cd 0-Core-Formalism/lean/Semantics lake exe openworm_benchmark lake exe moim_benchmark ``` --- ## 5. First Steps ### 5.1 Open a Lean File in VS Code ``` Project root: /home/allaun/CascadeProjects/Research-Stack Lean entry: 0-Core-Formalism/lean/Semantics/ ``` 1. Install the **lean4** VS Code extension 2. Open the `Research-Stack/` folder in VS Code 3. Navigate to `0-Core-Formalism/lean/Semantics/Semantics.lean` 4. The Lean server starts automatically — you'll see the "Lean Infoview" pane **Best files to open first:** | File | What You'll See | |------|----------------| | `Semantics/FixedPoint.lean` | Q0_16 and Q16_16 hardware-native arithmetic. Zero floats. | | `Semantics/FNWH/BurgersAVM.lean` | A verified AVM program for Burgers regularization. Correctness theorem. | | `Main.lean` | The CLI entry point that ties everything together. | ### 5.2 Run `#eval` Examples Place this at the bottom of `FixedPoint.lean` (or a scratch `test.lean`) and click "Evaluate" in the infoview: ```lean open Semantics.FixedPoint #eval Q0_16.one -- prints the internal representation #eval Q16_16.ofFloat 0.5 -- converts float to Q16_16 ``` Or in `BurgersAVM.lean`: ```lean open Semantics.FNWH.BurgersAVM #eval kappa -- 0.3547 as Q16_16 ``` ### 5.3 Run PIST-GCL Compression Demo ```bash cd /home/allaun/CascadeProjects/Research-Stack python3 5-Applications/pist-scripts/pist_gcl_compression.py ``` This runs a 4-layer manifold compression pipeline (PIST remap → cognitive routing → delta+Huffman → thermodynamic verify) on built-in test data. No dependencies beyond the Python stdlib. ### 5.4 Run the English Manifold Builder ```bash cd /home/allaun/CascadeProjects/Research-Stack python3 5-Applications/scripts/redpajama_english_manifold.py ``` Compresses English text via grammar-shape coordinates. Uses PIST under the hood. --- ## 6. Key Files to Read First | File | Purpose | |------|---------| | `CONCEPTS.md` | Core concept quick-reference (FAMM, PIST, ENE, GWL, AVM, etc.) | | `6-Documentation/EXPLANATION_FOR_HUMANS.md` | Plain-English translation of technical jargon | | `6-Documentation/docs/AGENTS.md` | Strict LLM operating rules — the "one rule" philosophy | | `5-Applications/hutter_prize/ARCHITECTURE.md` | System architecture overview | | `6-Documentation/calculator_plain_math.md` | Proof everything fits on a high-school calculator | **The most important rule (from AGENTS.md):** > Lean is the source of truth. Everything else is a shim. Python, Rust, and Verilog exist only as extraction targets. No logic lives outside Lean. --- ## 7. Common Issues ### Lake build fails with version mismatch ``` error: toolchain 'leanprover/lean4:v4.30.0-rc2' not installed ``` **Fix:** Run `lake build` from the `Semantics/` directory. `elan` reads `lean-toolchain` automatically and downloads the correct version: ```bash cd 0-Core-Formalism/lean/Semantics lake build # triggers auto-download of v4.30.0-rc2 ``` ### `lean` not found in PATH ```bash export PATH="$HOME/.elan/bin:$PATH" source ~/.bashrc ``` Or reinstall elan: ```bash curl -sSf https://raw.githubusercontent.com/leanprover/elan/master/elan-init.sh | bash -s -- -y ``` ### `lake` not found `lake` is bundled with Lean. If `lean --version` works but `lake` doesn't: ```bash which lake # should be ~/.elan/bin/lake ``` Reinstall elan if missing. ### Lake build stalls on external dependencies First build pulls `mathlib4` and `sparkle` from GitHub. It can take ~5-10 minutes on a slow connection. Subsequent builds use the cached `.lake/` directory. ### Python module not found Most scripts only need `requirements_swarm_api.txt`. If a specific script fails on import: ```bash source .venv/bin/activate pip install ``` ### VS Code Lean Infoview is blank 1. Make sure you opened the `Research-Stack/` folder (not a subdirectory) 2. Check the Lean server status in the status bar 3. Open a `.lean` file inside `0-Core-Formalism/lean/Semantics/` to trigger the server 4. `lake build` once from the terminal first — it pre-caches olean files the server needs ### `sorry` in committed files You may see `sorry` placeholders in WIP branches. These are intentional stubs for incomplete proofs. Do not remove them — they are tracked with `TODO(lean-port)` tickets and human sign-off per AGENTS.md rules. --- ## 8. Repository Map ``` Research-Stack/ ├── 0-Core-Formalism/lean/Semantics/ ← Lean 4 proofs (the source of truth) │ ├── Semantics.lean ← umbrella module │ ├── Semantics/FixedPoint.lean ← Q0_16, Q16_16 arithmetic │ ├── Semantics/FNWH/ ← Burgers equation AVM │ ├── Semantics/Core/ ← bind primitive, collapse engine │ ├── Semantics/blackboard/ ← agent coordination surface │ ├── Main.lean ← CLI entry point │ └── lakefile.toml ← build configuration ├── 1-Distributed-Systems/ ← multi-node networking ├── 2-Search-Space/ ← search algorithms, PIST, FAMM, manifold ├── 3-Mathematical-Models/ ← stored equation databases ├── 4-Infrastructure/ ← hardware drivers, FPGA, GPU shims ├── 5-Applications/ ← Python scripts (shims only — no logic) │ ├── scripts/ ← runnable scripts │ └── pist-scripts/ ← PIST-GCL compression demo ├── 6-Documentation/ ← papers, docs, AGENTS.md │ └── docs/AGENTS.md ← LLM operating rules ├── CONCEPTS.md ← concept quick-reference ├── GETTING_STARTED.md ← this file └── .env ← secrets (gitignored) ``` --- ## Quick-Reference Commands ```bash # Build everything cd 0-Core-Formalism/lean/Semantics && lake build # Run PIST compression demo python3 5-Applications/pist-scripts/pist_gcl_compression.py # Run English manifold builder python3 5-Applications/scripts/redpajama_english_manifold.py # Run Lean benchmarks cd 0-Core-Formalism/lean/Semantics && lake exe openworm_benchmark # Check Lean version lean --version ```