| import time |
| from common import summary |
| from executor import execute |
| def public_execute(task, code): |
| return execute(task, code, task['public_tests']) |
|
|
| def eval_one(task, coder, method, run_seed, predictor, checkpoint_id): |
| initial = coder.proposal(task, run_seed)[0] |
| code = initial['code'] |
| feedback = public_execute(task, code) |
| trace = [] |
| for round_id in range(3): |
| if summary(feedback)['all_pass']: |
| break |
| proposed = coder.proposal(task, run_seed, code, feedback, round_id) |
| codes = [x['code'] for x in proposed] + [code] |
| if method == 'random': |
| scores = None |
| choice = random.Random(seed(task['task_id'], run_seed, round_id, 'random-choice')).randrange(4) |
| else: |
| scores = predictor.score(task, code, feedback, codes) |
| choice = max(range(4), key=lambda i: scores[i]) |
| choice = choice if scores[choice] > scores[4] else 4 |
| before = code |
| before_feedback = feedback |
| code = codes[choice] |
| feedback = public_execute(task, code) |
| trace.append(dict(round=round_id, current_code=before, feedback=before_feedback, candidates=proposed, scores=scores, selected_index=choice, visible=feedback)) |
| return dict(task_id=task['task_id'], dataset=task['dataset'], seed=run_seed, method=method, world_identity=checkpoint_id, initial_code=initial['code'], final_code=code, trace=trace, final_public=feedback, hidden_tests_accessed=False, time=time.time()) |
|
|
