On the real FloatingIslands recipe, column caps sit inside anchor-island rock and native bedrock; the old check sampled the route foot. The audit now samples each planned cap against the native field (negative control: a cap moved into air is detected). The audit runner records requested vs actual recipe and exits on mismatch. All 16 passage rows (4 styles x 2 recipes x 2 compilers) pass. The readable shader uses a smooth tint. Interim: FI Gradient displacement capped at width/256 (flat floor, no contour rings); restoring real undulation is L32. Evaluator 19. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01CSFYgsdW8ejZSyiMf4qRSX
53 lines
2.1 KiB
Python
53 lines
2.1 KiB
Python
#!/usr/bin/env python3
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"""Combine the initial and repeat L31 interleaved cost batches."""
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import csv
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import statistics
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from pathlib import Path
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ROOT = Path(__file__).resolve().parents[4]
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OUT = ROOT / "Saved/Linux/l31"
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sources = (
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("first", 0, OUT / "cost-first/cost-runs.csv"),
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("repeat", 5, OUT / "cost-runs.csv"),
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)
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rows = []
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for batch, offset, path in sources:
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with path.open(newline="", encoding="utf-8") as stream:
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for row in csv.DictReader(stream):
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row["pair"] = str(int(row["pair"]) + offset)
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row["source_batch"] = batch
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rows.append(row)
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with (OUT / "cost-combined.csv").open("w", newline="", encoding="utf-8") as stream:
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writer = csv.DictWriter(stream, fieldnames=(
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"recipe", "pair", "build", "whole_view_ready_seconds", "process_elapsed_seconds",
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"exit_code", "status", "source_batch"))
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writer.writeheader()
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writer.writerows(rows)
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print("recipe pairs median_l30_s median_l31_s median_change_pct paired_median_pct range_pct")
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failed = False
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for recipe in ("surface-world", "floating-islands"):
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by_build = {
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build: [float(row["whole_view_ready_seconds"]) for row in rows
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if row["recipe"] == recipe and row["build"] == build]
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for build in ("l30", "l31")
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}
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paired = []
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for pair in range(1, 11):
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times = {
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row["build"]: float(row["whole_view_ready_seconds"])
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for row in rows if row["recipe"] == recipe and int(row["pair"]) == pair
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}
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paired.append((times["l31"] / times["l30"] - 1.0) * 100.0)
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median_l30 = statistics.median(by_build["l30"])
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median_l31 = statistics.median(by_build["l31"])
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median_change = (median_l31 / median_l30 - 1.0) * 100.0
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print(f"{recipe} 10 {median_l30:.3f} {median_l31:.3f} {median_change:+.2f} "
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f"{statistics.median(paired):+.2f} {min(paired):+.2f}..{max(paired):+.2f}")
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failed |= len(by_build["l30"]) != 10 or len(by_build["l31"]) != 10
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print(f"[L31CostCombined] pairs_per_recipe=10 runs={len(rows)} "
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f"status={'FAIL' if failed else 'PASS'} summary={OUT / 'cost-combined.csv'}")
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raise SystemExit(1 if failed or len(rows) != 40 else 0)
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