Unarc.dll -1 [exclusive] -
if os.path.exists(archive): feature.handle_extraction_error(archive, extract_to) else: print("Archive not found") if == " main ": main() 6. Additional Helper Utilities def monitor_extraction(process_pid: int) -> None: """Monitors extraction process for unarc.dll errors""" import time import psutil try: process = psutil.Process(process_pid) error_detected = False while process.is_running(): # Monitor memory usage memory_mb = process.memory_info().rss / 1024 / 1024 if memory_mb > 3000: # 3GB threshold print("⚠️ High memory usage detected - potential unarc.dll issue") # Monitor CPU usage cpu_percent = process.cpu_percent(interval=1) if cpu_percent > 95: print("⚠️ CPU spike detected - possible extraction issue") time.sleep(2) except psutil.NoSuchProcess: pass def log_error_details(archive_path: str, error_context: Dict) -> None: """Logs detailed error information for debugging""" import json from datetime import datetime
with open("unarc_error_log.json", "a") as log_file: log_file.write(json.dumps(log_entry) + "\n") unarc.dll -1
log_entry = { "timestamp": datetime.now().isoformat(), "error": "unarc.dll -1", "archive": archive_path, "archive_size_bytes": os.path.getsize(archive_path), "context": error_context } error_context: Dict) ->
def try_low_memory_mode(self) -> Tuple[bool, str]: """Attempts extraction with lower memory usage""" # Implement extraction with chunked processing try: # Use slower but memory-efficient extraction os.environ['UNARC_LOW_MEMORY'] = '1' # Run extraction command with memory limits return True, "Successfully extracted in low memory mode" except: return False, "Low memory mode failed" "error": "unarc.dll -1"