repro-bundle/v1/_scaffold.py

"""Scaffold logbook directly."""
import json, sys
sys.path.insert(0, r"X:\hf_challenge\_challenge_assets")

# Call the scaffold function programmatically
from trackio import logbook as lb
from pathlib import Path

title = "Simultaneous Confidence Bounds for Aggregated Effects via Exact Subset Optimization"
orid = "1C2LrZ7SNL"
claims = [
    "Bootstrap calibration yields valid post-hoc inference for data-selected subsets.",
    "Bounds are tighter than classical methods that protect all linear contrasts.",
]

proj = lb.create_logbook(title=f"Reproduction: {title}", space_id="amkkk/repro-simultaneous-confidence-bounds-for-aggregated-effects-via-exact-subset-optimization")

paper_link = "[OpenReview paper](https://openreview.net/forum?id=1C2LrZ7SNL)"

claim_specs = []
for i, claim in enumerate(claims, start=1):
    ct = f"Claim {i}: {claim}"
    slug = lb.ensure_page(proj, ct)
    claim_specs.append((ct, slug))

exec_slug = lb.ensure_page(proj, "Executive summary")
concl_slug = lb.ensure_page(proj, "Conclusion")

# Write index
index_lines = [
    f"# Reproduction: {title}",
    "",
    paper_link,
    "",
    lb.TOC_HEADING,
    "",
    lb.TOC_HEADER,
    lb.TOC_SEP,
    "| [00-scorecard](#/00-scorecard) |",
    f"| [Executive summary](#/{exec_slug}) |",
]
for ct, slug in claim_specs:
    index_lines.append(f"| [{ct}](#/{slug}) |")
index_lines += ["| [Methods / provenance](#/methods-provenance) |"]
index_lines += [f"| [Conclusion](#/{concl_slug}) |", ""]

(lb._pages_dir(proj) / "index.md").write_text("\n".join(index_lines), encoding="utf-8")

# Add 00-scorecard page
sc_slug = lb.ensure_page(proj, "00-scorecard")

# Metadata
metadata = lb.read_metadata(proj)
metadata["tags"] = ["icml2026-repro", "paper-1C2LrZ7SNL"]
metadata["space_id"] = "amkkk/repro-simultaneous-confidence-bounds-for-aggregated-effects-via-exact-subset-optimization"
lb.write_metadata(proj, metadata)

# Share some known values for the next script
info = {
    "proj": str(proj),
    "exec_slug": exec_slug,
    "concl_slug": concl_slug,
    "sc_slug": sc_slug,
    "claim1_slug": claim_specs[0][1],
    "claim2_slug": claim_specs[1][1],
}
print(json.dumps(info))