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| import collections, glob, json, math, os, sys |
| import pyarrow as pa, pyarrow.parquet as pq |
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| H = sys.argv[1] |
| M = {"blame_setup": "harmless_unreal"} |
| concl = collections.Counter() |
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| def dedupe(also, main): |
| return [x for i, x in enumerate(also) if x != main and x not in also[:i]] |
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| for f in sorted(glob.glob(f"{H}/data/reviews-*.parquet")): |
| pf = pq.ParquetFile(f); t = pf.read(); rg = math.ceil(t.num_rows / pf.metadata.num_row_groups) |
| mains = [M.get(m, m) for m in t["vea_conclusion"].to_pylist()] |
| alsos = [None if a is None else dedupe([M.get(y, y) for y in a], m) for m, a in zip(mains, t["vea_conclusions_also"].to_pylist())] |
| for col, vals in (("vea_conclusion", mains), ("vea_conclusions_also", alsos)): |
| i = t.schema.get_field_index(col); t = t.set_column(i, t.schema.field(i), pa.array(vals, t.schema.field(i).type)) |
| pq.write_table(t, f, compression="zstd", row_group_size=rg) |
| concl.update(m for m in mains if m) |
| rep = json.load(open(f"{H}/build_report.json")) |
| rep["bytes"] = sum(os.path.getsize(f) for f in glob.glob(f"{H}/data/reviews-*.parquet")) |
| rep["v1_2_patch"] = "2026-11-05: blame_setup counted as harmless_unreal in vea_conclusion and vea_conclusions_also" |
| json.dump(rep, open(f"{H}/build_report.json", "w"), indent=1, sort_keys=True) |
| print(dict(concl)) |
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|
