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75 lines
2.3 KiB
Python
75 lines
2.3 KiB
Python
import json
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from pathlib import Path
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import pytest
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from scripts.export_yolo_diagnostic_evaluation_tiles import (
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is_canonical_evaluation_window,
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validate_diagnostic_manifest,
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)
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def _write_manifest(tmp_path: Path, *, split: str = "calibration") -> Path:
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manifest = tmp_path / "operator_samples_manifest.json"
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manifest.write_text(
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json.dumps(
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{
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"purpose": "non_protected_diagnostic_evaluation",
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"training_eligibility": {
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"status": "not_eligible_evaluation_only"
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},
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"samples": [
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{
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"sample_slug": "fresh-aoi",
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"split": split,
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"sample_role": "positive",
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}
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],
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}
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),
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encoding="utf-8",
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)
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import hashlib
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digest = hashlib.sha256(manifest.read_bytes()).hexdigest()
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(tmp_path / "NO_TRAINING.json").write_text(
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json.dumps({"training_allowed": False, "manifest_sha256": digest}),
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encoding="utf-8",
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)
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return manifest
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def test_validate_diagnostic_manifest_accepts_bound_calibration(tmp_path: Path) -> None:
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manifest = _write_manifest(tmp_path)
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payload = validate_diagnostic_manifest(manifest)
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assert payload["samples"][0]["sample_slug"] == "fresh-aoi"
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def test_validate_diagnostic_manifest_rejects_training_split(tmp_path: Path) -> None:
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manifest = _write_manifest(tmp_path, split="train")
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with pytest.raises(ValueError, match="calibration-only"):
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validate_diagnostic_manifest(manifest)
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def test_validate_diagnostic_manifest_rejects_unbound_marker(tmp_path: Path) -> None:
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manifest = _write_manifest(tmp_path)
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(tmp_path / "NO_TRAINING.json").write_text(
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json.dumps({"training_allowed": False, "manifest_sha256": "0" * 64}),
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encoding="utf-8",
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)
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with pytest.raises(ValueError, match="not bound"):
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validate_diagnostic_manifest(manifest)
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def test_canonical_evaluation_window_rejects_overlapping_edge_cover() -> None:
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assert is_canonical_evaluation_window(
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{"row_off": 512, "col_off": 512, "height": 512, "width": 512}, 512
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)
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assert not is_canonical_evaluation_window(
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{"row_off": 521, "col_off": 512, "height": 512, "width": 512}, 512
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)
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