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())