| import pytest |
|
|
| from experiments.ablations.sequence_head.compare_decoder_probe import ( |
| compare_payloads, |
| write_markdown, |
| ) |
|
|
|
|
| def _protocol(): |
| return { |
| "test_data": "cb513", |
| "train_data": "train", |
| "eval_mask_applied": True, |
| "test_deduplicated": False, |
| "n_train_chains": 10846, |
| "n_test_chains": 511, |
| "tasks": ["ss3", "ss8", "rsa", "disorder"], |
| "max_train_residues": 250000, |
| "max_val_residues": 50000, |
| "seed": 42, |
| } |
|
|
|
|
| def _tasks(ss3, ss8, rsa, disorder): |
| return { |
| "ss3": {"accuracy": ss3, "macro_f1": ss3 - 0.01}, |
| "ss8": {"accuracy": ss8}, |
| "rsa": {"pearson_r": rsa}, |
| "disorder": {"mcc": disorder}, |
| } |
|
|
|
|
| def test_comparison_computes_level_deltas_and_keeps_esm_reference(tmp_path): |
| baseline = { |
| "protocol": _protocol(), |
| "results": { |
| "ZEST-L0": _tasks(0.60, 0.40, 0.30, 0.05), |
| "ZEST-L1": _tasks(0.61, 0.41, 0.31, 0.06), |
| "ZEST-L2": _tasks(0.62, 0.42, 0.32, 0.07), |
| "esm2_35M": _tasks(0.77, 0.62, 0.60, 0.05), |
| }, |
| } |
| decoder = { |
| "protocol": _protocol(), |
| "results": { |
| "ZEST-L0": _tasks(0.60, 0.40, 0.30, 0.05), |
| "ZEST-L1": _tasks(0.66, 0.46, 0.36, 0.08), |
| "ZEST-L2": _tasks(0.72, 0.52, 0.42, 0.09), |
| }, |
| } |
| comparison = compare_payloads(baseline, decoder) |
| assert comparison["levels"]["L0"]["SS3 accuracy"]["delta"] == pytest.approx(0.0) |
| assert comparison["levels"]["L2"]["SS3 accuracy"]["delta"] == pytest.approx(0.10) |
| assert comparison["levels"]["L2"]["RSA Pearson r"]["delta"] == pytest.approx(0.10) |
| assert comparison["esm_reference"]["esm2_35M"]["SS8 accuracy"] == pytest.approx(0.62) |
|
|
| path = tmp_path / "comparison.md" |
| write_markdown(path, comparison, "baseline.json", "decoder.json", 7800, 2) |
| text = path.read_text() |
| assert "Checkpoint step**: 7800" in text |
| assert "| SS3 accuracy | 0.6200 | 0.7200 | +0.1000 |" in text |
| assert "esm2_35M" in text |
|
|
|
|
| def test_comparison_rejects_incompatible_probe_protocols(): |
| baseline = {"protocol": _protocol(), "results": {}} |
| changed = _protocol() |
| changed["max_train_residues"] = 100000 |
| decoder = {"protocol": changed, "results": {}} |
| with pytest.raises(ValueError, match="max_train_residues"): |
| compare_payloads(baseline, decoder) |
|
|
