#!/usr/bin/env python3 # SHIM ONLY — NO INVARIANT CHECKS, NO COST COMPUTATION, NO BRANCHING DECISIONS """ PIST-GCL Framework Compression — Shim Boundary =============================================== This is a data-passing shim only. All invariant checks, cost computations, conservation-law verification, and branching decisions have been moved behind the Lean receipt boundary. This file performs only: - File discovery and scanning - JSON receipt serialization - Data-passing (read → pass-through → write) # TODO: Replace with Lean receipt when Q16_16 build is stable """ import hashlib import json import math import time from dataclasses import dataclass from pathlib import Path from typing import Dict, List, Optional, Tuple RESEARCH_STACK = Path("/home/allaun/Documents/Research Stack") def pist_encode(n: int) -> Tuple[int, int]: k = int(math.isqrt(n)) t = n - k * k return (k, t) def pist_decode(k: int, t: int) -> int: return k * k + t # TODO: Replace with Lean receipt when Q16_16 build is stable # Lean should answer: mass, phase, thermodynamic validity, lawfulness @dataclass class MetaprobeManifest: source_path: str component_type: str original_hash: str compressed_hash: str compression_layers: List[str] q16_16_verified: bool thermodynamic_valid: bool landauer_respected: bool timestamp: str prover_receipt: Optional[str] @dataclass class CompressionTask: source_path: Path target_path: Path component_type: str priority: int class FrameworkCompressionOrchestrator: def __init__(self, max_memory_gb: float = 4.0): self.max_memory_gb = max_memory_gb self.tasks: List[CompressionTask] = [] self.results: Dict[str, Dict] = {} def scan_framework(self, max_files: int = 100): print("Scanning framework for compression targets...") lean_dir = RESEARCH_STACK / "0-Core-Formalism/lean/Semantics" count = 0 for lean_file in lean_dir.rglob("*.lean"): if count >= max_files: break if lean_file.stat().st_size > 1024: self.tasks.append(CompressionTask( source_path=lean_file, target_path=Path(str(lean_file) + ".pist"), component_type='lean', priority=0 if 'F' in lean_file.name else 1 )) count += 1 docs_dir = RESEARCH_STACK / "6-Documentation/docs/speculative-materials" for md_file in docs_dir.rglob("*.md"): if count >= max_files: break if md_file.stat().st_size > 2048: self.tasks.append(CompressionTask( source_path=md_file, target_path=Path(str(md_file) + ".pist"), component_type='markdown', priority=2 )) count += 1 shim_dir = RESEARCH_STACK / "4-Infrastructure/shim" for py_file in shim_dir.rglob("*.py"): if count >= max_files: break if py_file.stat().st_size > 1024: self.tasks.append(CompressionTask( source_path=py_file, target_path=Path(str(py_file) + ".pist"), component_type='python', priority=3 )) count += 1 self.tasks.sort(key=lambda t: t.priority) print(f"Found {len(self.tasks)} compression targets (limited to {max_files} for demo)") def compress_component(self, task: CompressionTask) -> Dict: """ Data-passing shim: reads file, writes a placeholder receipt. All compression, invariant checks, and lawfulness decisions are deferred to Lean (Q16_16 build). """ data = task.source_path.read_bytes() original_hash = hashlib.sha256(data).hexdigest() task.target_path.parent.mkdir(parents=True, exist_ok=True) task.target_path.write_bytes(data) # TODO: Replace with Lean receipt when Q16_16 build is stable # Lean should compute: # - PIST coordinates and mass # - thermodynamic verification (landauer_bound, second_law) # - metaprobe metadata compression # - lawfulness determination from datetime import datetime as dt manifest = MetaprobeManifest( source_path=str(task.source_path), component_type=task.component_type, original_hash=original_hash, compressed_hash=original_hash, compression_layers=[], q16_16_verified=False, thermodynamic_valid=False, landauer_respected=False, timestamp=dt.now().isoformat(), prover_receipt=None, ) meta_path = Path(str(task.target_path) + ".meta") meta_payload = { "source": str(task.source_path), "type": task.component_type, "original_hash": original_hash, "_note": "Shim boundary — invariant checks deferred to Lean (TODO: Q16_16 build)", } meta_path.write_text(json.dumps(meta_payload, indent=2)) report = { "source_path": str(task.source_path), "target_path": str(task.target_path), "original_bytes": len(data), "_status": "SHIM_PASSTHROUGH", "_note": "TODO: Replace with Lean receipt when Q16_16 build is stable", } self.results[str(task.source_path)] = report return report def run_compression(self): print("\n" + "=" * 70) print("PIST-GCL Framework Compression — Shim Passthrough") print("=" * 70) for i, task in enumerate(self.tasks): print(f"\n[{i+1}/{len(self.tasks)}] {task.component_type}: {task.source_path.name}") report = self.compress_component(task) print(f" Original: {report['original_bytes']:,} bytes") print(f" Status: {report['_status']}") time.sleep(0.1) print("\n" + "=" * 70) print("SHIM PASSTHROUGH SUMMARY") print("=" * 70) print(f"Total components: {len(self.results)}") print("All invariant checks deferred to Lean (TODO: Q16_16 build)") print("=" * 70) def main(): orchestrator = FrameworkCompressionOrchestrator(max_memory_gb=4.0) orchestrator.scan_framework(max_files=100) orchestrator.run_compression() print("\n" + "=" * 70) print("Framework shim passthrough complete.") print("No invariant checks, no cost computation, no branching decisions.") print("TODO: Replace with Lean receipt when Q16_16 build is stable") print("=" * 70) if __name__ == "__main__": main()