Smart Tree - ST

#!/bin/bash # Demo: Quantum Semantic Compression - "AST meets compression!" - Omni echo "🚀 Smart Tree Quantum Semantic Demo" echo "=====================================" echo echo "Omni's nuclear-powered compression that understands code!" echo # Create a sample Rust file cat > /tmp/demo.rs << 'EOF' pub struct Scanner { root: PathBuf, config: ScannerConfig, } impl Scanner { pub fn new(path: &Path) -> Result<Self> { Ok(Self { root: path.canonicalize()?, config: Default::default(), }) } fn internal_scan(&self) -> Vec<FileNode> { // Complex implementation details... vec![] } pub fn scan(&self) -> Result<(Vec<FileNode>, TreeStats)> { let nodes = self.internal_scan(); let stats = self.calculate_stats(&nodes); Ok((nodes, stats)) } } fn main() { println!("Smart Tree!"); } #[test] fn test_scanner() { // Test implementation } EOF echo "📄 Original file size:" wc -c /tmp/demo.rs echo echo "🧬 Semantic extraction would identify:" echo " - pub struct Scanner (importance: 0.9)" echo " - pub fn new() (importance: 0.9)" echo " - pub fn scan() (importance: 0.9)" echo " - fn main() (importance: 1.0)" echo " - fn internal_scan() (importance: 0.6)" echo " - fn test_scanner() (importance: 0.3)" echo echo "🎯 Quantum Semantic output (conceptual):" echo "QUANTUM_SEMANTIC_V1:lang=rust" echo "Function:main [1.00]" echo "Function:new [0.90]" echo "Function:scan [0.90]" echo "Struct:Scanner [0.90]" echo echo "📊 Compression ratio: ~90% reduction!" echo " - Preserves semantic meaning" echo " - Prioritizes important code" echo " - Perfect for AI understanding" echo echo "💡 Use cases:" echo " - Code summaries for LLMs" echo " - API documentation extraction" echo " - Codebase overview generation" echo " - Semantic search indexing" rm -f /tmp/demo.rs