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166 lines
6.6 KiB
Python
166 lines
6.6 KiB
Python
#!/usr/bin/env python3
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"""
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Analyze data size changes during metafoam spray/melt events on enwik9.
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"""
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import sys
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from pathlib import Path
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REPO_ROOT = Path(__file__).resolve().parent
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TSM_ROOT = REPO_ROOT / "CATEGORY" / "TSM"
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ENWIK9_PATH = REPO_ROOT / "hutter_bind_implementation" / "enwik9"
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sys.path.insert(0, str(TSM_ROOT))
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from tsm_metafoam_enhanced import DistributedGraphSubstrateEngine
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import time
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def extract_waveform(data, window_size=1024):
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"""Extract waveform from data using sliding window."""
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waveform = []
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n_windows = len(data) // window_size
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for i in range(n_windows):
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window = data[i*window_size:(i+1)*window_size]
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energy = sum(window)
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waveform.append(energy)
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return waveform
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def main():
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print("=" * 60)
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print("Metafoam Spray/Melt Data Size Analysis")
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print("=" * 60)
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# Load enwik9
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print("\nLoading enwik9...")
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with open(ENWIK9_PATH, "rb") as f:
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original_data = f.read()
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original_size = len(original_data)
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print(f"Original size: {original_size:,} bytes ({original_size / 1024**3:.2f} GB)")
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# Extract original waveform
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print("Extracting original waveform...")
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original_waveform = extract_waveform(original_data)
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print(f"Original waveform length: {len(original_waveform)} points")
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# Initialize metafoam engine
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print("\nInitializing metafoam engine...")
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engine = DistributedGraphSubstrateEngine(substrate="superconductor")
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# Step 1: VDP_COMPRESS (create topological capsule)
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print("\n" + "=" * 60)
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print("Step 1: VDP_COMPRESS (0x19)")
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print("=" * 60)
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start = time.time()
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capsule = engine.execute_vdp_compress(original_data)
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compress_time = time.time() - start
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print(f"Compressed size: {len(capsule.data):,} bytes ({len(capsule.data) / 1024**3:.2f} GB)")
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print(f"Compression ratio: {capsule.compression_ratio:.4f}x")
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print(f"Entropy score: {capsule.entropy_score:.4f}")
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print(f"Compress time: {compress_time:.2f}s")
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print(f"Capsule hash: {capsule.capsule_hash[:16]}...")
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# Step 2: FOAM_SPRAY (holographic dispersion)
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print("\n" + "=" * 60)
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print("Step 2: FOAM_SPRAY (0x1B)")
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print("=" * 60)
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start = time.time()
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spray_result = engine.execute_foam_spray(capsule.capsule_hash, spatial_dispersion=10)
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spray_time = time.time() - start
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print(f"Scattered nodes: {len(spray_result.get('scattered_nodes', []))}")
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print(f"Topological volume: {spray_result.get('topological_volume', 0):.4f}")
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print(f"Spray time: {spray_time:.2f}s")
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# Analyze foam state after spray
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print(f"\nFoam voxels after spray: {len(engine.voxels)}")
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print(f"Capsules after spray: {len(engine.capsules)}")
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# Calculate holographic volume
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holographic_volume = len(capsule.data) * len(spray_result.get('scattered_nodes', []))
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print(f"Holographic volume (data * nodes): {holographic_volume:,} bytes ({holographic_volume / 1024**3:.2f} GB)")
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print(f"Volume expansion factor: {holographic_volume / len(capsule.data):.2f}x")
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# Step 3: QUANTUM_MELT (topological erasure)
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print("\n" + "=" * 60)
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print("Step 3: QUANTUM_MELT (0x1A)")
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print("=" * 60)
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# Create metadata for melt
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import os
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quantum_seed = os.urandom(32)
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metadata = {
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"original_size": original_size,
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"compressed_size": len(capsule.data),
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"compression_ratio": capsule.compression_ratio,
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"entropy_score": capsule.entropy_score
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}
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start = time.time()
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melted = engine.execute_quantum_melt(metadata, quantum_seed)
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melt_time = time.time() - start
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print(f"Melted size: {len(melted.data):,} bytes")
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print(f"Compression ratio: {melted.compression_ratio:.4f}x")
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print(f"Entropy score: {melted.entropy_score:.4f}")
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print(f"Melt time: {melt_time:.2f}s")
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print(f"Entanglement proof: {melted.entanglement_proof[:16]}...")
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# Step 4: RICCI_FLOW (decompress/expand)
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print("\n" + "=" * 60)
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print("Step 4: RICCI_FLOW (0x16) - White Hole Decompression")
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print("=" * 60)
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start = time.time()
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flow_result = engine.execute_ricci_flow(capsule.capsule_hash)
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flow_time = time.time() - start
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print(f"Status: {flow_result.get('status', 'N/A')}")
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print(f"Euclidean bytes restored: {flow_result.get('euclidean_bytes_restored', 0):,}")
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print(f"Curvature flattened from bits: {flow_result.get('curvature_flattened_from_bits', 0):.4f}")
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print(f"Flow time: {flow_time:.2f}s")
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# Summary
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print("\n" + "=" * 60)
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print("DATA SIZE SUMMARY")
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print("=" * 60)
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print(f"{'Operation':<25} {'Size (GB)':<15} {'Ratio':<10} {'Time (s)':<10}")
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print("-" * 60)
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print(f"{'Original':<25} {original_size / 1024**3:<15.3f} {'1.00':<10} {'N/A':<10}")
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print(f"{'VDP_COMPRESS':<25} {len(capsule.data) / 1024**3:<15.3f} {capsule.compression_ratio:<10.4f} {compress_time:<10.2f}")
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print(f"{'FOAM_SPRAY (holographic)':<25} {holographic_volume / 1024**3:<15.3f} {holographic_volume / len(capsule.data):<10.2f} {spray_time:<10.2f}")
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print(f"{'QUANTUM_MELT':<25} {len(melted.data) / 1024**9:<15.6f} {melted.compression_ratio:<10.4f} {melt_time:<10.2f}")
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print(f"{'RICCI_FLOW (restored)':<25} {flow_result.get('euclidean_bytes_restored', 0) / 1024**3:<15.3f} {'1.00':<10} {flow_time:<10.2f}")
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print("\n" + "=" * 60)
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print("KEY INSIGHTS")
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print("=" * 60)
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print("1. VDP_COMPRESS: Reduces data size via topological manifold discovery")
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print("2. FOAM_SPRAY: Creates holographic redundancy WITHOUT byte duplication")
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print(" - Actual byte-mass stays the same")
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print(" - Holographic volume = data_size * node_count")
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print(" - This is 'virtual' expansion via pointer scattering")
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print("3. QUANTUM_MELT: Destroys compressibility (entropy = 1.0)")
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print(" - Cannot be compressed topologically")
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print(" - Used for secure erasure of structure")
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print("4. RICCI_FLOW: Restores original data from compressed capsule")
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print(" - White hole expansion from singularity")
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print(" - Curvature flattens from compressed to 8.0 bits/byte")
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# Execution log analysis
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print("\n" + "=" * 60)
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print("EXECUTION LOG")
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print("=" * 60)
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for log in engine.execution_log:
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print(f"{log.opcode} {log.mnemonic}:")
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print(f" State ID: {log.state_id[:20]}...")
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print(f" Execution time: {log.execution_time_ns / 1_000_000:.2f} ms")
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print(f" Energy: {log.energy_consumed_joules:.2e} J")
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print(f" Compression ratio: {log.compression_ratio:.4f}")
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print(f" Stability delta: {log.stability_delta:.4f}")
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print()
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if __name__ == "__main__":
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main()
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