| import json |
| from collections import defaultdict |
| from pathlib import Path |
|
|
| ROOT = Path(__file__).resolve().parents[1] |
|
|
| def load(): |
| with (ROOT / "data" / "all.jsonl").open(encoding="utf-8") as f: |
| return [json.loads(line) for line in f] |
|
|
| def test_record_count(): |
| assert len(load()) == 3000 |
|
|
| def test_unique_ids_and_fingerprints(): |
| rows = load() |
| assert len({r["id"] for r in rows}) == 3000 |
| assert len({r["quality"]["structural_fingerprint"] for r in rows}) == 3000 |
|
|
| def test_split_sizes(): |
| rows = load() |
| counts = {s: sum(r["split"] == s for r in rows) for s in ("train", "validation", "test")} |
| assert counts == {"train": 2400, "validation": 300, "test": 300} |
|
|
| def test_no_archetype_split_leakage(): |
| rows = load() |
| seen = defaultdict(set) |
| for row in rows: |
| seen[row["task"]["archetype"]].add(row["split"]) |
| assert all(len(splits) == 1 for splits in seen.values()) |
|
|
| def test_behavior_is_primary_axis(): |
| rows = load() |
| assert len({r["task"]["family"] for r in rows}) == 12 |
| assert len({r["task"]["archetype"] for r in rows}) == 120 |
|
|