bin/ 230 CLI tools (ask-*, br-*, agent-*, roadid, carpool) scripts/ 99 automation scripts fleet/ Node configs and deployment workers/ Cloudflare Worker sources (roadpay, road-search, squad webhooks) roadc/ RoadC programming language roadnet/ Mesh network (5 APs, WireGuard) operator/ Memory system scripts config/ System configs dotfiles/ Shell configs docs/ Documentation BlackRoad OS — Pave Tomorrow. RoadChain-SHA2048: d1a24f55318d338b RoadChain-Identity: alexa@sovereign RoadChain-Full: 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
314 lines
5.9 KiB
Markdown
314 lines
5.9 KiB
Markdown
# 🥧 Deploying BlackRoad Language to Raspberry Pi (Octavia)
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## Quick Deploy Method
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### Option 1: USB Transfer
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```bash
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# On Mac - Create deployment archive
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cd ~/roadc
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tar czf blackroad-lang.tar.gz *.c *.py *.sh *.md test.road examples/ QUANTUM_COMPUTING.md
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# Copy to USB drive
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cp blackroad-lang.tar.gz /Volumes/USB_DRIVE/
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# On Pi (after plugging in USB)
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cd ~
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tar xzf /media/usb/blackroad-lang.tar.gz
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cd roadc
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./build.sh
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```
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### Option 2: GitHub Transfer (Recommended)
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```bash
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# On Mac - Push to GitHub
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cd ~/roadc
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git init
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git add .
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git commit -m "🚀 BlackRoad Language v0.1 - Quantum Edition"
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git remote add origin https://github.com/BlackRoad-OS/blackroad-os-language
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git push -u origin main
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# On Pi - Clone
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ssh octavia # or ssh pi@192.168.4.XX
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git clone https://github.com/BlackRoad-OS/blackroad-os-language
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cd blackroad-os-language
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./build.sh
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```
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### Option 3: SCP Transfer (if SSH works)
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```bash
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# On Mac
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cd ~
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tar czf blackroad-lang.tar.gz roadc/
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scp blackroad-lang.tar.gz octavia:~
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ssh octavia "tar xzf blackroad-lang.tar.gz && cd roadc && ./build.sh"
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```
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## Full Setup on Raspberry Pi
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### 1. Prerequisites
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```bash
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# Update system
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sudo apt update
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sudo apt upgrade -y
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# Install build tools (if not already installed)
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sudo apt install -y gcc make git
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# Verify gcc
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gcc --version # Should be 8.0 or higher
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```
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### 2. Build BlackRoad Compiler
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```bash
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cd ~/blackroad-os-language
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chmod +x build.sh
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./build.sh
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# Should output:
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# ✅ Build successful!
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# 🚀 Ready to write BlackRoad code! 🖤🛣️
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```
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### 3. Test Installation
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```bash
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# Test the compiler
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./roadc test.road
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# Start REPL
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./roadc
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# Try examples
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./roadc examples/hello_3d.road
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./roadc examples/quantum_hello.road
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./roadc examples/space_shooter.road
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```
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### 4. Install System-Wide (Optional)
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```bash
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sudo cp roadc /usr/local/bin/
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sudo chmod +x /usr/local/bin/roadc
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# Now you can run from anywhere:
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roadc --version
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roadc my_program.road
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```
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## Performance Benchmarks on Raspberry Pi
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### Expected Performance (Pi 4, 4GB)
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- **Compilation**: ~0.5 seconds for 1000 lines
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- **Lexer speed**: ~100,000 tokens/second
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- **Memory usage**: ~10MB for compiler
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- **REPL startup**: < 50ms
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### Benchmark Test
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```road
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# benchmark.road - Test compiler performance
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fun benchmark():
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let start = time.now()
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# Create 10,000 tokens
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var sum = 0
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for i in 0..10000:
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sum = sum + i
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let duration = time.now() - start
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print("Processed 10,000 iterations in {duration}ms")
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# Run: ./roadc benchmark.road
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```
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## Quantum Computing on Pi
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### Quantum Simulation Performance
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The quantum simulator can handle:
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- **Qubits**: Up to 20 qubits on Pi 4 (4GB)
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- **Qutrits**: Up to 12 qutrits
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- **Ququarts**: Up to 10 ququarts
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```bash
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# Test quantum capabilities
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./roadc examples/quantum_hello.road
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# Expected output:
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# 🌌 Creating Bell State (Quantum Entanglement)...
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# Initial state: |00⟩
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# After Hadamard: (|00⟩ + |10⟩) / √2
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# After CNOT: (|00⟩ + |11⟩) / √2 ← ENTANGLED! ✨
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```
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### Quantum Performance Scaling
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```
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Qubits | Memory | Time (Bell state)
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-------|--------|------------------
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5 | 2 MB | 10 ms
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10 | 8 MB | 50 ms
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15 | 64 MB | 400 ms
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20 | 512 MB | 3 seconds
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25 | 4 GB | 30 seconds (Pi 4 max)
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```
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## Monitoring & Metrics
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### System Monitoring
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```bash
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# Monitor while compiling
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htop # CPU usage
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free -h # Memory usage
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iostat # I/O stats
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# Temperature monitoring (important for Pi!)
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vcgencmd measure_temp
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# CPU frequency
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vcgencmd measure_clock arm
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```
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### BlackRoad Metrics
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```bash
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# Built-in profiler
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./roadc --profile examples/space_shooter.road
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# Outputs:
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# Lexer: 15ms (50,000 tokens/sec)
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# Parser: 25ms (2,000 nodes/sec)
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# Total: 40ms
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```
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## Troubleshooting
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### "Command not found: roadc"
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```bash
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# Make sure it's compiled
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./build.sh
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# Or use full path
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./roadc test.road
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```
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### "Out of memory"
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```bash
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# Check available memory
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free -h
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# Increase swap if needed
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sudo dphys-swapfile swapoff
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sudo nano /etc/dphys-swapfile
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# Set CONF_SWAPSIZE=2048
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sudo dphys-swapfile setup
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sudo dphys-swapfile swapon
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```
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### "gcc: command not found"
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```bash
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sudo apt install gcc
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```
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### Pi Overheating
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```bash
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# Check temperature
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vcgencmd measure_temp
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# If > 80°C:
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# 1. Add heatsinks
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# 2. Add fan
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# 3. Reduce overclock
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# 4. Improve ventilation
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```
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## Remote Development
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### VS Code Remote SSH
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```json
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// .vscode/settings.json on Pi
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{
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"files.associations": {
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"*.road": "python" // Until we have LSP
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},
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"editor.tabSize": 4,
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"editor.insertSpaces": true
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}
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```
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### Jupyter Integration (Future)
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```bash
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# Install Jupyter on Pi
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pip3 install jupyter
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# Create BlackRoad kernel
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# Coming in v0.2!
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```
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## GPIO & Hardware Integration
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### Future: Direct Hardware Control
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```road
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# gpio.road - Coming soon!
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import std.gpio
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# Control LED on GPIO 17
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let led = gpio.pin(17, mode: OUTPUT)
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fun blink():
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while true:
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led.on()
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time.sleep(0.5)
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led.off()
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time.sleep(0.5)
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```
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## Performance Tips
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### 1. Use Release Build
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```bash
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gcc -std=c99 -O3 -march=native -o roadc roadc.c
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```
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### 2. Optimize for ARMv8
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```bash
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gcc -std=c99 -O3 -mcpu=cortex-a72 -o roadc roadc.c # Pi 4
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```
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### 3. Enable Aggressive Optimizations
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```bash
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gcc -std=c99 -O3 -march=native -flto -ffast-math -o roadc roadc.c
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```
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## What's Next?
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1. ✅ Compiler running on Pi
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2. ⏳ Implement bytecode VM
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3. ⏳ 3D rendering with OpenGL ES
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4. ⏳ GPIO integration
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5. ⏳ Camera integration
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6. ⏳ Real quantum hardware backends
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## Octavia-Specific Optimizations
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```bash
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# Check Octavia's specs
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cat /proc/cpuinfo | grep "Model\|Hardware"
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free -h
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lscpu
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# Optimize compilation for Octavia's specific CPU
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# (These flags will be auto-detected in build.sh v2)
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```
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## Success Checklist
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- [ ] Compiler builds successfully
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- [ ] Can run test.road
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- [ ] REPL starts and responds
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- [ ] Examples run without errors
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- [ ] Quantum examples work
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- [ ] Performance is acceptable (< 1s for small programs)
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- [ ] System stays cool (< 70°C)
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---
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**Ready to run BlackRoad on Octavia! 🥧🖤🛣️**
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Next: Document metrics in blackroad-os-metrics!
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