Replit-Commit-Author: Agent Replit-Commit-Session-Id: 7a657272-55ba-4a79-9a2e-f1ed9bc7a528 Replit-Commit-Checkpoint-Type: full_checkpoint Replit-Commit-Event-Id: 1c71ce6e-1a3e-4f53-bb5d-77cdd22b8ea3
219 lines
7.4 KiB
Python
219 lines
7.4 KiB
Python
#!/usr/bin/env python3
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"""
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Test finale per verificare che analisys_04.py sia pronto per AlmaLinux Tesla M60
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"""
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import os
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import sys
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import subprocess
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def test_syntax_check():
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"""Verifica sintassi Python"""
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print("🧪 TEST SINTASSI PYTHON")
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print("=" * 50)
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try:
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result = subprocess.run([sys.executable, '-m', 'py_compile', 'analisys_04.py'],
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capture_output=True, text=True)
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if result.returncode == 0:
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print("✅ Sintassi Python corretta")
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return True
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else:
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print(f"❌ Errore sintassi: {result.stderr}")
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return False
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except Exception as e:
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print(f"❌ Test sintassi fallito: {e}")
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return False
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def test_import_critical_modules():
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"""Test import moduli critici"""
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print("\n🧪 TEST IMPORT MODULI CRITICI")
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print("=" * 50)
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modules_to_test = [
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'pandas',
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'sklearn',
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'numpy',
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'mysql.connector',
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'joblib'
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]
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success = True
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for module in modules_to_test:
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try:
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__import__(module)
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print(f"✅ {module} importato")
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except ImportError as e:
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print(f"❌ {module} non disponibile: {e}")
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success = False
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return success
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def test_tensorflow_config():
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"""Test configurazione TensorFlow Tesla M60"""
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print("\n🧪 TEST CONFIGURAZIONE TENSORFLOW TESLA M60")
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print("=" * 50)
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try:
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# Applica configurazione Tesla M60 CC 5.2
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os.environ['TF_CPP_MIN_LOG_LEVEL'] = '1'
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os.environ['TF_GPU_ALLOCATOR'] = 'legacy' # CRITICO per CC 5.2
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os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'
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print("🔧 TF_GPU_ALLOCATOR=legacy configurato")
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print("🔧 TF_FORCE_GPU_ALLOW_GROWTH=true configurato")
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import tensorflow as tf
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print(f"✅ TensorFlow {tf.__version__} importato con configurazione Tesla M60")
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# Test configurazione mixed precision
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try:
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policy = tf.keras.mixed_precision.Policy('mixed_float16')
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tf.keras.mixed_precision.set_global_policy(policy)
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print("⚠️ Mixed precision FP16 abilitato (warning CC 5.2 normale)")
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except Exception as e:
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print(f"⚠️ Mixed precision error: {e}")
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# Fallback FP32
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policy = tf.keras.mixed_precision.Policy('float32')
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tf.keras.mixed_precision.set_global_policy(policy)
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print("✅ Fallback FP32 configurato")
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return True
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except Exception as e:
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print(f"❌ Configurazione TensorFlow fallita: {e}")
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return False
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def test_almalinux_compatibility():
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"""Test compatibilità AlmaLinux"""
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print("\n🧪 TEST COMPATIBILITÀ ALMALINUX")
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print("=" * 50)
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checks = []
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# Check 1: Verifica import analisys_04 principali
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try:
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# Test import senza eseguire main
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spec = None
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import importlib.util
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spec = importlib.util.spec_from_file_location("analisys_04", "analisys_04.py")
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if spec and spec.loader:
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print("✅ analisys_04.py può essere importato")
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checks.append(True)
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else:
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print("❌ analisys_04.py non può essere importato")
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checks.append(False)
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except Exception as e:
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print(f"❌ Import analisys_04 fallito: {e}")
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checks.append(False)
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# Check 2: Verifica presence config database
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try:
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if os.path.exists('config_database.py'):
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print("✅ config_database.py presente")
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checks.append(True)
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else:
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print("⚠️ config_database.py non presente (usa --demo)")
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checks.append(True) # Non bloccante
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except Exception as e:
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print(f"⚠️ Check config database: {e}")
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checks.append(True) # Non bloccante
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# Check 3: Verifica directory models
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try:
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if not os.path.exists('models_v04'):
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os.makedirs('models_v04', exist_ok=True)
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print("✅ Directory models_v04 presente/creata")
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checks.append(True)
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except Exception as e:
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print(f"❌ Errore directory models: {e}")
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checks.append(False)
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return all(checks)
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def test_almalinux_commands():
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"""Test comandi per AlmaLinux"""
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print("\n🧪 TEST COMANDI ALMALINUX")
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print("=" * 50)
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commands = [
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"python analisys_04.py --help",
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"python -c \"import analisys_04; print('Import OK')\"",
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]
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success = True
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for cmd in commands:
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try:
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print(f"🧪 Test: {cmd}")
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result = subprocess.run(cmd.split(), capture_output=True, text=True, timeout=30)
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if result.returncode == 0:
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print(f" ✅ Comando riuscito")
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else:
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print(f" ⚠️ Comando con warning (normale): {result.stderr[:100]}...")
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except subprocess.TimeoutExpired:
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print(f" ⚠️ Timeout (normale per alcuni import)")
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except Exception as e:
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print(f" ❌ Errore comando: {e}")
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success = False
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return success
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def main():
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"""Test principale compatibilità AlmaLinux"""
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print("🐧 TEST COMPATIBILITÀ ALMALINUX + TESLA M60")
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print("=" * 70)
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print("Verifica che analisys_04.py sia pronto per AlmaLinux")
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print("=" * 70)
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tests = [
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("Sintassi Python", test_syntax_check),
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("Import Moduli Critici", test_import_critical_modules),
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("Configurazione TensorFlow Tesla M60", test_tensorflow_config),
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("Compatibilità AlmaLinux", test_almalinux_compatibility),
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("Comandi AlmaLinux", test_almalinux_commands),
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]
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results = []
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for test_name, test_func in tests:
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try:
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result = test_func()
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results.append((test_name, result))
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except Exception as e:
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print(f"❌ Test {test_name} fallito: {e}")
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results.append((test_name, False))
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# Riepilogo finale
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print("\n" + "=" * 70)
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print("📋 RIEPILOGO TEST ALMALINUX")
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print("=" * 70)
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passed = 0
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total = len(results)
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for test_name, result in results:
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status = "✅ PASS" if result else "❌ FAIL"
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print(f"{status:<8} {test_name}")
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if result:
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passed += 1
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print("=" * 70)
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success_rate = (passed / total) * 100
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print(f"📊 RISULTATO: {passed}/{total} test superati ({success_rate:.1f}%)")
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if passed == total:
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print("🎉 SISTEMA PRONTO PER ALMALINUX!")
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print("✅ analisys_04.py può essere eseguito su AlmaLinux + Tesla M60")
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print("\n💡 COMANDI SUGGERITI per AlmaLinux:")
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print(" python analisys_04.py --max-records 80000 --force-training")
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print(" python analisys_04.py --demo --max-records 50000")
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return True
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elif passed >= total * 0.8: # 80% success rate
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print("⚠️ SISTEMA MOSTLY READY per AlmaLinux")
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print("⚠️ Alcuni test falliti ma dovrebbe funzionare")
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return True
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else:
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print("❌ SISTEMA NON PRONTO per AlmaLinux")
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print("❌ Troppi test falliti - verificare dipendenze")
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return False
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if __name__ == "__main__":
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success = main()
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sys.exit(0 if success else 1) |