from __future__ import annotations import importlib.util from pathlib import Path SCRIPT = Path(__file__).parents[2] / "scripts" / "build_failure_driven_yolo_sampling.py" SPEC = importlib.util.spec_from_file_location("failure_sampling", SCRIPT) assert SPEC and SPEC.loader MODULE = importlib.util.module_from_spec(SPEC) SPEC.loader.exec_module(MODULE) def test_sampling_repeats_only_failed_region_train_tiles() -> None: manifest = { "samples": [ {"sample_slug": "train-fl", "split": "train", "region": "flanders"}, {"sample_slug": "train-wa", "split": "train", "region": "wallonia"}, {"sample_slug": "test-fl", "split": "test", "region": "flanders"}, ] } summary = { "tiles": [ {"sample_slug": "train-fl", "split": "train", "label_count": 2, "image_path": "/tmp/fl-pos.png"}, {"sample_slug": "train-fl", "split": "train", "label_count": 0, "image_path": "/tmp/fl-neg.png"}, {"sample_slug": "train-wa", "split": "train", "label_count": 1, "image_path": "/tmp/wa-pos.png"}, {"sample_slug": "test-fl", "split": "val", "label_count": 1, "image_path": "/tmp/protected.png"}, ] } assessment = { "status": "continue_training_loop", "gates": { "min_region_f1": 0.45, "min_region_precision": 0.5, "min_region_recall": 0.4, "max_pure_empty_false_positives": 0, }, "test": { "regions": { "flanders": {"f1": 0.2, "precision": 0.3, "recall": 0.2}, "wallonia": {"f1": 0.6, "precision": 0.6, "recall": 0.6}, } }, "background": {"pure_empty_false_positives": 2}, } paths, metadata = MODULE.build_sampling( summary=summary, manifest=manifest, assessment=assessment ) assert paths.count(str(Path("/tmp/fl-pos.png").resolve())) == 3 assert paths.count(str(Path("/tmp/fl-neg.png").resolve())) == 4 assert paths.count(str(Path("/tmp/wa-pos.png").resolve())) == 1 assert not any("protected" in path for path in paths) assert metadata["protected_samples_in_training"] == [] assert metadata["weak_recall_regions"] == ["flanders"]