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Systematic discovery & rigorous validation of statistical anomalies in open HF market data (hfmarketdata.io) — pre-registered, artifact-null-driven, fully reproducible. Live atlas: www.anomaly-atlas.io

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lint: wrap long line in expD benchmark

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Simon-Pierre Boucher committed 4 h ago (Aug 12, 2026) parent a7f66cb

Showing 1 changed file with +3 and −2

modified experiments/micro/expD_leadlag_scan/benchmark.py +3 −2
@@ -179,8 +179,9 @@ def main() -> None:
179 179 "fdr_alpha": 0.05,
180 180 "fdr_survivors": fdr_survivors,
181 181 "median_artifact_share_by_bucket": {
182 b: round(float(np.median([p["artifact_share_+1"] for p in pairs
183 if p["bucket"] == b and p["artifact_share_+1"] is not None])), 5)
182 + b: round(float(np.median(
183 + [p["artifact_share_+1"] for p in pairs
184 + if p["bucket"] == b and p["artifact_share_+1"] is not None])), 5)
184 185 for b in ("liquid", "sector", "random")
185 186 },
186 187 }
187 188