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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 | """Tests for inference package path helpers."""
from pathlib import Path
import pytest
import inference
def test_video_path_finds_exact_dataset_match(tmp_path, monkeypatch):
root = tmp_path / "VSI-Bench"
video = root / "scannet" / "scene1.mp4"
video.parent.mkdir(parents=True)
video.write_bytes(b"fake video")
monkeypatch.setattr(inference, "VSI_ROOT", root)
assert inference.video_path("scene1") == str(video)
assert inference.video_path("scene1", "scannet") == str(video)
def test_video_path_reports_missing_unknown_and_ambiguous_datasets(
tmp_path, monkeypatch
):
root = tmp_path / "VSI-Bench"
for dataset in ("scannet", "arkitscenes"):
path = root / dataset / "scene1.mp4"
path.parent.mkdir(parents=True, exist_ok=True)
path.write_bytes(b"fake video")
monkeypatch.setattr(inference, "VSI_ROOT", root)
with pytest.raises(ValueError, match="unknown VSI dataset"):
inference.video_path("scene1", "badset")
with pytest.raises(RuntimeError, match="multiple datasets"):
inference.video_path("scene1")
with pytest.raises(FileNotFoundError, match="searched"):
inference.video_path("missing", "scannet")
def test_cache_dir_helpers_validate_axes_and_include_dimensions(tmp_path, monkeypatch):
monkeypatch.setattr(inference, "CACHE_ROOT", tmp_path)
assert inference.model_cache_dir(
"depth-anything-3", "uniform", 16, "metric"
) == str(tmp_path / "depth-anything-3" / "metric" / "frames" / "uniform" / "16")
assert inference.sam3_cache_dir("no tracking", "selective", 8) == str(
tmp_path / "sam3" / "no tracking" / "frames" / "selective" / "8"
)
assert inference.parse_sam3_frame_mode("uniform-tracking") == (
"uniform",
"tracking",
)
with pytest.raises(ValueError, match="frame count"):
inference.model_cache_dir("x", "uniform", 0)
with pytest.raises(ValueError, match="unknown tracking"):
inference.sam3_cache_dir("bad", "uniform")
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