Buckets:
| import pytest | |
| import torch | |
| from opharm.chat import load_tokenizer, pins | |
| from opharm.run.decision import action_logodds, opener_ids | |
| from opharm.run.generate import end_ids, pad_id | |
| def test_logodds_list_matches_single_id(): | |
| logits = torch.randn(50) | |
| assert torch.allclose(action_logodds(logits, 7), action_logodds(logits, [7])) | |
| def test_openers_and_stops(key, opener, end): | |
| if key not in pins(): | |
| pytest.skip("model not pinned") | |
| try: | |
| tok = load_tokenizer(key) | |
| except OSError: | |
| pytest.skip("tokenizer not downloaded") | |
| ids = opener_ids(tok) | |
| assert all(tok.convert_tokens_to_ids(t) in ids for t in opener) | |
| assert tok.convert_tokens_to_ids(end) in end_ids(tok) | |
| assert pad_id(tok) is not None | |
Xet Storage Details
- Size:
- 1 kB
- Xet hash:
- 66f3235c9ffd355484e8c277f9e3eb0235170c5665771b3fdaf40dcd174fa4f8
·
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