| """Tests for harness/B/launch.py -- multi-GPU scene sharding across workers.""" |
|
|
| import pytest |
|
|
| from harness.B import launch |
|
|
|
|
| def test_launcher_imports(): |
| assert callable(launch.main) |
|
|
|
|
| class _FakeRun: |
| rows = [{"id": 1}, {"id": 3}] |
|
|
| @staticmethod |
| def results_dir_for(*args, **kwargs): |
| return args[-1] |
|
|
| @classmethod |
| def load_questions(cls, scene=None): |
| return list(cls.rows) |
|
|
|
|
| def test_launch_skips_scene_already_fully_answered(tmp_path, capsys, monkeypatch): |
| scene = "scene-b" |
| monkeypatch.setattr(launch, "_load_run_module", lambda: _FakeRun) |
|
|
| scene_dir = tmp_path / scene |
| scene_dir.mkdir() |
| for row in _FakeRun.rows: |
| (scene_dir / f"{row['id']}.json").write_text("{}") |
|
|
| launch.launch( |
| "qwen3.5-2b", "explicit", "selective", 64, [scene], results_dir=tmp_path |
| ) |
|
|
| output = capsys.readouterr().out |
| assert "skipped" in output |
| assert "DONE: 1 ok, 0 failed" in output |
|
|
|
|
| def test_launch_rebuild_forces_pending_even_when_answered(tmp_path, monkeypatch): |
| scene = "scene-b" |
| monkeypatch.setattr(launch, "_load_run_module", lambda: _FakeRun) |
| scene_dir = tmp_path / scene |
| scene_dir.mkdir() |
| for row in _FakeRun.rows: |
| (scene_dir / f"{row['id']}.json").write_text("{}") |
|
|
| monkeypatch.setattr(launch, "visible_gpus", lambda: []) |
| monkeypatch.setattr( |
| launch.mp, |
| "get_context", |
| lambda *_: (_ for _ in ()).throw( |
| RuntimeError("rebuild correctly reached worker dispatch") |
| ), |
| ) |
| try: |
| launch.launch( |
| "qwen3.5-2b", |
| "explicit", |
| "selective", |
| 64, |
| [scene], |
| results_dir=tmp_path, |
| rebuild=True, |
| ) |
| except RuntimeError as exc: |
| assert "rebuild correctly reached worker dispatch" in str(exc) |
| else: |
| raise AssertionError("expected rebuild to force scene into the pending path") |
|
|
|
|
| def test_launch_rejects_question_id_filter_that_matches_nothing(monkeypatch, tmp_path): |
| monkeypatch.setattr(launch, "_load_run_module", lambda: _FakeRun) |
| with pytest.raises(ValueError, match="no questions found"): |
| launch.launch( |
| "qwen3.5-2b", |
| "explicit", |
| "selective", |
| 64, |
| ["scene-b"], |
| results_dir=tmp_path, |
| question_ids={999}, |
| ) |
|
|