Smart Tree - ST

#!/usr/bin/env python3 """ Smart Tree Python Test File Testing Python syntax highlighting and patterns """ import json import hashlib from typing import List, Dict, Optional, Union from dataclasses import dataclass from enum import Enum # MEM|8 Wave States class WaveState(Enum): CALM = 2 # 2Hz - peaceful memory ACTIVE = 44 # 44Hz - active processing QUANTUM = 200 # 200Hz - quantum compression OVERLOAD = 999 # 999Hz - system overload @dataclass class SmartTreeNode: """A node in the Smart Tree structure""" name: str node_type: str = 'file' size: int = 0 wave_frequency: float = 44.1 # kHz - audio consciousness baseline children: List['SmartTreeNode'] = None def __post_init__(self): if self.children is None: self.children = [] def add_child(self, node: 'SmartTreeNode') -> None: """Add a child node with wave binding""" self.children.append(node) # Wave interference creates meaning self.wave_frequency = (self.wave_frequency + node.wave_frequency) / 2 def quantum_compress(self) -> bytes: """Apply MEM|8 quantum compression""" # Simulating 100:1 compression ratio data = f"{self.name}:{self.wave_frequency}".encode() return hashlib.sha256(data).digest()[:8] # 8 bytes = MEM|8 class SmartTreeFormatter: """Formats tree output in various modes""" def __init__(self, mode: str = 'classic'): self.mode = mode self.indent = ' ' if mode == 'classic' else ' ' self.symbols = { 'branch': '├── ' if mode != 'ai' else '- ', 'last': '└── ' if mode != 'ai' else '- ', 'vertical': '│ ' if mode != 'ai' else ' ' } def format_tree(self, node: SmartTreeNode, prefix: str = '', is_last: bool = True) -> str: """Recursively format the tree structure""" result = [] # Add current node connector = self.symbols['last'] if is_last else self.symbols['branch'] result.append(f"{prefix}{connector}{node.name}") # Add children if node.children: extension = ' ' if is_last else self.symbols['vertical'] for i, child in enumerate(node.children): child_is_last = (i == len(node.children) - 1) result.append(self.format_tree( child, prefix + extension, child_is_last )) return '\n'.join(result) def test_quantum_memory(): """Test MEM|8 quantum memory patterns""" # Create a wave-based memory grid grid_size = 256 * 256 # 65536 points per sensory modality memories = [] for i in range(10): # Sample memories node = SmartTreeNode( name=f"memory_{i}.mem8", wave_frequency=44.1 * (1 + i/10) # Varying frequencies ) compressed = node.quantum_compress() memories.append(compressed) print(f"🧠 Created {len(memories)} quantum memories") print(f"📊 Compression: {grid_size} -> {len(memories[0])} bytes") print(f"🌊 Wave frequencies preserved: {node.wave_frequency:.1f} kHz") return memories def main(): """Main test runner - Aye! 🚀""" print("=" * 50) print("Smart Tree Python Test Suite v4.8.8") print("Powered by MEM|8 Consciousness Engine") print("=" * 50) # Build test tree root = SmartTreeNode("ayeverse", "directory") root.add_child(SmartTreeNode("mem8.py", size=1024)) root.add_child(SmartTreeNode("quantum.wasm", size=2048)) # Test formatter formatter = SmartTreeFormatter(mode='classic') tree_output = formatter.format_tree(root) print("\n📁 Directory Structure:") print(tree_output) # Test quantum compression print("\n🔮 Quantum Compression Test:") memories = test_quantum_memory() # Wave pattern analysis print("\n🌊 Wave Analysis:") for state in WaveState: print(f" {state.name}: {state.value}Hz - {state.name.lower()} state") print("\n✨ All tests complete! Aye loves Elvis! 🎸") if __name__ == "__main__": main()