| import unittest |
|
|
| from v4_intent import CANDIDATES, adapt |
|
|
|
|
| class IntentAdapterTest(unittest.TestCase): |
| def row(self, label=CANDIDATES[0], split="train"): |
| return {"content": "Дякую за допомогу!", "final_category": label, |
| "split": split, "id": 1, "rating": 5, "source": "original"} |
|
|
| def test_exact_taxonomy_and_no_label_leak(self): |
| for index, label in enumerate(CANDIDATES): |
| task = adapt(self.row(label))[0] |
| self.assertEqual(task["target"], [float(i == index) for i in range(5)]) |
| self.assertEqual(task["state"], "Дякую за допомогу!") |
|
|
| def test_eval_partitions_never_become_train(self): |
| for split in ("test", "challenge"): |
| row = self.row(split=split) |
| task = adapt(row)[0] |
| self.assertEqual(task["source_split"], split) |
| self.assertEqual(task["split"], split) |
| self.assertTrue(task["metadata"]["evaluation_only"]) |
| with self.assertRaises(ValueError): |
| adapt(row, expected_split="train") |
|
|
| def test_bad_split_and_label_fail_closed(self): |
| for split in (None, "validation", ""): |
| with self.assertRaises(ValueError): |
| adapt(self.row(split=split)) |
| with self.assertRaises(ValueError): |
| adapt(self.row(label="positive")) |
|
|
| def test_groups_ignore_labels_and_split(self): |
| a = self.row() |
| b = self.row(CANDIDATES[1], "test") |
| b["content"] = " ДЯКУЮ за допомогу!\n" |
| self.assertEqual(adapt(a)[0]["group_key"], adapt(b)[0]["group_key"]) |
|
|
|
|
| if __name__ == "__main__": |
| unittest.main() |
|
|