| """Tests for inference package path helpers.""" |
|
|
| from pathlib import Path |
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|
| import pytest |
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| import inference |
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|
| 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) |
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|
| 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") |
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|
| 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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|