Download openevolve-fixed/tests/test_api.py from zhouk777/evolve: direct link, hf CLI and curl.
- Browser
- Download file 10.1 kB
-
https://huggingface.co/datasets/zhouk777/evolve/resolve/main/openevolve-fixed/tests/test_api.py
- Command line
-
hf download hf://datasets/zhouk777/evolve/openevolve-fixed/tests/test_api.py
-
curl -L -o test_api.py https://huggingface.co/datasets/zhouk777/evolve/resolve/main/openevolve-fixed/tests/test_api.py
10.1 kB
| """ | |
| Test the library API functionality | |
| """ | |
| import unittest | |
| import unittest.mock | |
| import tempfile | |
| import os | |
| from pathlib import Path | |
| from openevolve.api import ( | |
| run_evolution, | |
| evolve_function, | |
| evolve_algorithm, | |
| evolve_code, | |
| EvolutionResult, | |
| _prepare_program, | |
| _prepare_evaluator | |
| ) | |
| from openevolve.config import Config | |
| class TestAPIFunctions(unittest.TestCase): | |
| def setUp(self): | |
| self.temp_dir = tempfile.mkdtemp() | |
| def tearDown(self): | |
| import shutil | |
| shutil.rmtree(self.temp_dir, ignore_errors=True) | |
| def test_evolution_result_class(self): | |
| """Test EvolutionResult dataclass""" | |
| result = EvolutionResult( | |
| best_program=None, | |
| best_score=0.85, | |
| best_code="def test(): pass", | |
| metrics={"score": 0.85, "runtime": 1.2}, | |
| output_dir="/tmp/test" | |
| ) | |
| self.assertEqual(result.best_score, 0.85) | |
| self.assertEqual(result.best_code, "def test(): pass") | |
| self.assertIn("0.8500", str(result)) | |
| def test_prepare_program_from_file(self): | |
| """Test _prepare_program with existing file""" | |
| program_file = os.path.join(self.temp_dir, "test_program.py") | |
| with open(program_file, 'w') as f: | |
| f.write("def test(): return 42") | |
| temp_files = [] | |
| result = _prepare_program(program_file, self.temp_dir, temp_files) | |
| self.assertEqual(result, program_file) | |
| self.assertEqual(len(temp_files), 0) | |
| def test_prepare_program_from_string(self): | |
| """Test _prepare_program with code string""" | |
| code = "def test(): return 42" | |
| temp_files = [] | |
| result = _prepare_program(code, self.temp_dir, temp_files) | |
| self.assertTrue(os.path.exists(result)) | |
| self.assertEqual(len(temp_files), 1) | |
| with open(result, 'r') as f: | |
| content = f.read() | |
| self.assertIn("EVOLVE-BLOCK-START", content) | |
| self.assertIn("EVOLVE-BLOCK-END", content) | |
| self.assertIn("def test(): return 42", content) | |
| def test_prepare_program_from_list(self): | |
| """Test _prepare_program with list of lines""" | |
| lines = ["def test():", " return 42"] | |
| temp_files = [] | |
| result = _prepare_program(lines, self.temp_dir, temp_files) | |
| self.assertTrue(os.path.exists(result)) | |
| self.assertEqual(len(temp_files), 1) | |
| with open(result, 'r') as f: | |
| content = f.read() | |
| self.assertIn("def test():\n return 42", content) | |
| def test_prepare_program_with_existing_markers(self): | |
| """Test _prepare_program doesn't add duplicate markers""" | |
| code = """# EVOLVE-BLOCK-START | |
| def test(): | |
| return 42 | |
| # EVOLVE-BLOCK-END""" | |
| temp_files = [] | |
| result = _prepare_program(code, self.temp_dir, temp_files) | |
| with open(result, 'r') as f: | |
| content = f.read() | |
| # Should not have nested markers | |
| self.assertEqual(content.count("EVOLVE-BLOCK-START"), 1) | |
| self.assertEqual(content.count("EVOLVE-BLOCK-END"), 1) | |
| def test_prepare_evaluator_from_file(self): | |
| """Test _prepare_evaluator with existing file""" | |
| eval_file = os.path.join(self.temp_dir, "evaluator.py") | |
| with open(eval_file, 'w') as f: | |
| f.write("def evaluate(path): return {'score': 1.0}") | |
| temp_files = [] | |
| result = _prepare_evaluator(eval_file, self.temp_dir, temp_files) | |
| self.assertEqual(result, eval_file) | |
| self.assertEqual(len(temp_files), 0) | |
| def test_prepare_evaluator_from_callable(self): | |
| """Test _prepare_evaluator with callable function""" | |
| def my_evaluator(program_path): | |
| return {"score": 0.8, "test": "passed"} | |
| temp_files = [] | |
| result = _prepare_evaluator(my_evaluator, self.temp_dir, temp_files) | |
| self.assertTrue(os.path.exists(result)) | |
| self.assertEqual(len(temp_files), 1) | |
| with open(result, 'r') as f: | |
| content = f.read() | |
| self.assertIn("def evaluate(program_path)", content) | |
| self.assertIn("user_evaluator", content) | |
| def test_prepare_evaluator_from_string(self): | |
| """Test _prepare_evaluator with code string""" | |
| code = "def evaluate(path): return {'score': 0.9}" | |
| temp_files = [] | |
| result = _prepare_evaluator(code, self.temp_dir, temp_files) | |
| self.assertTrue(os.path.exists(result)) | |
| self.assertEqual(len(temp_files), 1) | |
| with open(result, 'r') as f: | |
| content = f.read() | |
| self.assertEqual(content, code) | |
| def test_prepare_evaluator_string_without_evaluate_function(self): | |
| """Test _prepare_evaluator raises error for invalid code string""" | |
| code = "def my_function(): pass" | |
| temp_files = [] | |
| with self.assertRaises(ValueError): | |
| _prepare_evaluator(code, self.temp_dir, temp_files) | |
| def test_evolve_function_basic(self): | |
| """Test evolve_function with simple test case""" | |
| def initial_sort(arr): | |
| # Simple bubble sort | |
| for i in range(len(arr)): | |
| for j in range(len(arr)-1): | |
| if arr[j] > arr[j+1]: | |
| arr[j], arr[j+1] = arr[j+1], arr[j] | |
| return arr | |
| test_cases = [ | |
| ([3, 1, 2], [1, 2, 3]), | |
| ([5, 2], [2, 5]), | |
| ] | |
| # Mock the async controller to avoid actual evolution | |
| with unittest.mock.patch('openevolve.api._run_evolution_async') as mock_async: | |
| mock_async.return_value = EvolutionResult( | |
| best_program=None, | |
| best_score=1.0, | |
| best_code="def initial_sort(arr): return sorted(arr)", | |
| metrics={"score": 1.0, "test_pass_rate": 1.0}, | |
| output_dir=None | |
| ) | |
| result = evolve_function(initial_sort, test_cases, iterations=1) | |
| self.assertIsInstance(result, EvolutionResult) | |
| self.assertEqual(result.best_score, 1.0) | |
| mock_async.assert_called_once() | |
| def test_evolve_algorithm_basic(self): | |
| """Test evolve_algorithm with simple class""" | |
| class SimpleAlgorithm: | |
| def process(self, data): | |
| return sum(data) | |
| def benchmark(instance): | |
| result = instance.process([1, 2, 3]) | |
| return {"score": 1.0 if result == 6 else 0.0} | |
| # Mock the controller | |
| with unittest.mock.patch('openevolve.api._run_evolution_async') as mock_async: | |
| mock_async.return_value = EvolutionResult( | |
| best_program=None, | |
| best_score=1.0, | |
| best_code="class SimpleAlgorithm: pass", | |
| metrics={"score": 1.0}, | |
| output_dir=None | |
| ) | |
| result = evolve_algorithm(SimpleAlgorithm, benchmark, iterations=1) | |
| self.assertIsInstance(result, EvolutionResult) | |
| self.assertEqual(result.best_score, 1.0) | |
| mock_async.assert_called_once() | |
| def test_evolve_code_basic(self): | |
| """Test evolve_code with string input""" | |
| code = "def fibonacci(n): return n if n <= 1 else fibonacci(n-1) + fibonacci(n-2)" | |
| def evaluator(program_path): | |
| return {"score": 0.5, "correctness": True} | |
| # Mock the controller | |
| with unittest.mock.patch('openevolve.api._run_evolution_async') as mock_async: | |
| mock_async.return_value = EvolutionResult( | |
| best_program=None, | |
| best_score=0.8, | |
| best_code=code, | |
| metrics={"score": 0.8}, | |
| output_dir=None | |
| ) | |
| result = evolve_code(code, evaluator, iterations=1) | |
| self.assertIsInstance(result, EvolutionResult) | |
| self.assertEqual(result.best_score, 0.8) | |
| mock_async.assert_called_once() | |
| def test_run_evolution_with_config_object(self): | |
| """Test run_evolution with Config object""" | |
| config = Config() | |
| config.num_iterations = 5 | |
| # Mock the controller | |
| with unittest.mock.patch('openevolve.api._run_evolution_async') as mock_async: | |
| mock_async.return_value = EvolutionResult( | |
| best_program=None, | |
| best_score=0.9, | |
| best_code="def test(): pass", | |
| metrics={"score": 0.9}, | |
| output_dir=None | |
| ) | |
| result = run_evolution( | |
| initial_program="def test(): pass", | |
| evaluator=lambda p: {"score": 1.0}, | |
| config=config, | |
| iterations=10 | |
| ) | |
| self.assertIsInstance(result, EvolutionResult) | |
| self.assertEqual(result.best_score, 0.9) | |
| mock_async.assert_called_once() | |
| def test_run_evolution_cleanup_false(self): | |
| """Test run_evolution with cleanup=False""" | |
| with unittest.mock.patch('openevolve.api._run_evolution_async') as mock_async: | |
| mock_async.return_value = EvolutionResult( | |
| best_program=None, | |
| best_score=0.7, | |
| best_code="def test(): pass", | |
| metrics={"score": 0.7}, | |
| output_dir="/tmp/test_output" | |
| ) | |
| result = run_evolution( | |
| initial_program="def test(): pass", | |
| evaluator=lambda p: {"score": 1.0}, | |
| cleanup=False, | |
| output_dir="/tmp/test_output" | |
| ) | |
| self.assertEqual(result.output_dir, "/tmp/test_output") | |
| mock_async.assert_called_once() | |
| if __name__ == '__main__': | |
| unittest.main() |