Copy YOLO training wrapper into all-in-one image
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@@ -5680,6 +5680,7 @@ Open:
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- Added sample-registry test coverage for minimum unique background count, unique centers and regional spread.
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- Updated operator documentation with the expanded default corpus and the next required Tower regeneration step.
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- Fixed the all-in-one Dockerfile so the documented operator scripts are copied into `/app/scripts/` during normal rebuilds.
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- Fixed the all-in-one Dockerfile training-runtime gap so `/app/scripts/train_operator_yolo_detector.sh` is also copied into the rebuilt container and marked executable.
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- Fixed `scripts/yolo_preflight.py` so it respects `YOLO_ENABLED`, `YOLO_MODEL_PATH` and `YOLO_MAX_TILES` from the runtime environment unless explicit CLI overrides are supplied.
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- Prepared the expanded Tower operator manifest and exported `yolo-building-tile-uniquehardneg160`.
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@@ -5688,6 +5689,8 @@ Open:
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- `python -m pytest backend\tests\test_sprint131_operator_sample_expansion.py -q`
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- `python -m pytest backend\tests\test_sprint127_operator_sample_quality_matrix.py backend\tests\test_sprint131_operator_sample_expansion.py -q`
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- `python -m pytest backend\tests\test_sprint13_yolo_preflight.py -q`
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- Red/green Docker runtime guard for the training wrapper: `python -m pytest backend\tests\test_docker_runtime_config.py::test_all_in_one_dockerfile_copies_operator_scripts_for_runtime_use -q`
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- `python -m pytest backend\tests\test_docker_runtime_config.py -q`
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- `bash scripts/run_readiness_check.sh`
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- Tower live operator sample prep:
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- manifest samples: 16 total, 7 reference and 9 background candidates.
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