File size: 1,503 Bytes
672ecc3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | 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())
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