| |
| """ |
| Quick test to verify the setup is working correctly. |
| """ |
|
|
| import json |
| import subprocess |
| import sys |
| from pathlib import Path |
|
|
| def test_initial_program(): |
| """Test that initial_program.py works""" |
| print("Testing initial_program.py...") |
| |
| try: |
| result = subprocess.run([sys.executable, "initial_program.py"], |
| capture_output=True, text=True, timeout=10) |
| |
| if result.returncode == 0: |
| output = json.loads(result.stdout) |
| print(f"β
Initial program works. Params: {len(output['params'])} parameters") |
| return True |
| else: |
| print(f"β Initial program failed: {result.stderr}") |
| return False |
| |
| except Exception as e: |
| print(f"β Initial program error: {e}") |
| return False |
|
|
| def test_evaluator(): |
| """Test that evaluator.py works""" |
| print("Testing evaluator.py...") |
| |
| try: |
| result = subprocess.run([sys.executable, "evaluator.py", "initial_program.py"], |
| capture_output=True, text=True, timeout=30) |
| |
| if result.returncode == 0: |
| output = json.loads(result.stdout) |
| if "score" in output: |
| print(f"β
Evaluator works. Score: {output['score']:.3f}") |
| return True |
| else: |
| print(f"β Evaluator missing score: {output}") |
| return False |
| else: |
| print(f"β Evaluator failed: {result.stderr}") |
| return False |
| |
| except Exception as e: |
| print(f"β Evaluator error: {e}") |
| return False |
|
|
| def test_mlir_file(): |
| """Test that MLIR file exists and is valid""" |
| print("Testing MLIR baseline file...") |
| |
| mlir_file = Path("mlir/baseline_attention.mlir") |
| if mlir_file.exists(): |
| content = mlir_file.read_text() |
| if "func.func @baseline_attention" in content: |
| print("β
MLIR file exists and looks valid") |
| return True |
| else: |
| print("β MLIR file missing expected content") |
| return False |
| else: |
| print("β MLIR file not found") |
| return False |
|
|
| def main(): |
| """Run all tests""" |
| print("π§ͺ Testing OpenEvolve attention optimization setup...") |
| print("=" * 50) |
| |
| tests = [ |
| test_mlir_file, |
| test_initial_program, |
| test_evaluator |
| ] |
| |
| passed = 0 |
| for test in tests: |
| if test(): |
| passed += 1 |
| print() |
| |
| print("=" * 50) |
| print(f"Tests passed: {passed}/{len(tests)}") |
| |
| if passed == len(tests): |
| print("π Setup is ready! You can now run:") |
| print("python ../../openevolve-run.py initial_program.py evaluator.py --config config.yaml --iterations 10") |
| else: |
| print("β Setup needs fixing before running evolution") |
| |
| return passed == len(tests) |
|
|
| if __name__ == "__main__": |
| main() |