| """Check both reward formulas using tiny, self-contained synthetic tasks.""" |
| import json |
|
|
| import kodcode_reward |
| import taco_leetcode_reward |
|
|
| truth = {'test_code': 'from solution import add\ndef test_one():\n assert add(1,2)==3\ndef test_two():\n assert add(-1,1)==0\n', |
| 'test_functions': ['test_one', 'test_two']} |
| good = 'def add(a,b):\n return a+b\n' |
| bad = 'def add(a,b):\n return 0\n' |
| k_good = kodcode_reward.compute_score('smoke', good, truth) |
| k_bad = kodcode_reward.compute_score('smoke', bad, truth) |
| assert k_good['score'] == 1 and k_bad['score'] == 0 and k_bad['pass_frac'] == 0.5 |
| truth = {'mode': 'function', 'entry_point': 'add', 'tests': [ |
| {'args': [1, 2], 'output': 3}, {'args': [-1, 1], 'output': 0}]} |
| t_good = taco_leetcode_reward.compute_score('smoke', good, truth) |
| t_bad = taco_leetcode_reward.compute_score('smoke', bad, truth) |
| assert t_good['score'] == 1 and t_bad['score'] == 0.4, (t_good, t_bad) |
| print(json.dumps({'kodcode': {'full': k_good['score'], 'half': k_bad['score']}, |
| 'taco_leetcode': {'full': t_good['score'], 'half': t_bad['score']}, 'status': 'PASS'})) |
|
|
