File size: 2,868 Bytes
e8055cf | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 | """Tests for harness/A/launch.py -- multi-GPU scene sharding across workers."""
import pytest
from harness.A import launch
def test_launcher_imports():
assert callable(launch.main)
def test_scenes_dedups_and_preserves_order(tmp_path, monkeypatch):
manifest = tmp_path / "questions.jsonl"
rows = [
'{"scene_name": "scene-a"}',
'{"scene_name": "scene-b"}',
'{"scene_name": "scene-a"}',
]
manifest.write_text("\n".join(rows) + "\n")
monkeypatch.setattr(launch, "JSONL", manifest)
assert launch.scenes() == ["scene-a", "scene-b"]
class _FakeRun:
rows = [{"id": 1}, {"id": 2}]
@staticmethod
def results_dir_for(
model, protocol, frame_selection, frame_count, results_dir=None
):
return results_dir
@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-a"
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", "uniform", 16, [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-a"
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: [])
# Only assert it treats the scene as pending (doesn't take the all-skipped early
# return); actually spawning workers needs a real model/GPU, exercised by the live
# harness.A.launch smoke run instead of the unit suite.
monkeypatch.setattr(
launch.mp,
"get_context",
lambda *_: (_ for _ in ()).throw(
RuntimeError("rebuild correctly reached worker dispatch")
),
)
try:
launch.launch(
"qwen3.5-2b", "uniform", 16, [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_scene_with_no_questions(monkeypatch, tmp_path):
class EmptyRun(_FakeRun):
rows = []
monkeypatch.setattr(launch, "_load_run_module", lambda: EmptyRun)
with pytest.raises(ValueError, match="no questions found"):
launch.launch("qwen3.5-2b", "uniform", 16, ["missing"], results_dir=tmp_path)
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