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#!/usr/bin/env python3
"""Apply the frozen oral-B development eligibility and selection rules."""
import argparse
import glob
import hashlib
import json
import math
import os
FEEDBACKS = ("error", "error_velocity")
KAPPAS = (0.0, 0.1, 0.3)
ETAS = (0.01, 0.03)
TASK_SEEDS = (0, 1, 2)
def file_hash(path):
digest = hashlib.sha256()
with open(path, "rb") as handle:
for chunk in iter(lambda: handle.read(1024 * 1024), b""):
digest.update(chunk)
return digest.hexdigest()
def require(condition, message):
if not condition:
raise ValueError(message)
def finite(value):
return isinstance(value, (int, float)) and math.isfinite(value)
def candidate_key(row):
args = row["args"]
return args["feedback"], float(args["kappa"]), float(args["eta"])
def validate_row(row, path):
require(row.get("schema_version") == 1, f"{path}: schema mismatch")
args = row.get("args", {})
require(args.get("task_seed") in TASK_SEEDS, f"{path}: task seed outside development")
require(args.get("model_seed") == 0, f"{path}: model seed must be zero")
require(args.get("feedback") in FEEDBACKS, f"{path}: feedback mismatch")
require(float(args.get("kappa")) in KAPPAS, f"{path}: kappa mismatch")
require(float(args.get("eta")) in ETAS, f"{path}: eta mismatch")
protocol = row.get("protocol", {})
require(protocol.get("name") == "oral_b_continuous_bci_development_v1",
f"{path}: protocol mismatch")
require(protocol.get("selection_split") == "development",
f"{path}: non-development result")
require(protocol.get("confirmation_seeds_touched") is False,
f"{path}: confirmation leakage")
require(protocol.get("evaluation_task_seed") == args["task_seed"] + 100_000,
f"{path}: evaluation seed mismatch")
provenance = row.get("provenance", {})
require(provenance.get("git_dirty") is False, f"{path}: dirty source")
require(provenance.get("runner_and_protocol_tracked") is True,
f"{path}: untracked runner or protocol")
require(isinstance(provenance.get("git_commit"), str)
and len(provenance["git_commit"]) == 40,
f"{path}: invalid source revision")
require(row.get("finite") is True, f"{path}: non-finite run")
config = row.get("config", {})
expected = {
"n_plus": 5, "n_minus": 5, "n_background": 30,
"context_dim": 16, "steps_per_episode": 28,
"episodes_per_day": 64, "days": 14, "target": 0.8,
"perturb_every": 4, "perturb_sigma": 0.03,
"feedback": args["feedback"], "kappa": args["kappa"],
"forward_eta": args["eta"],
}
for key, value in expected.items():
require(config.get(key) == value,
f"{path}: config {key} expected {value!r}, found {config.get(key)!r}")
for name in ("intact", "fixed_vectorizer", "online_lesion",
"plasticity_lesion", "both_lesion"):
condition = row.get("conditions", {}).get(name, {})
for key in ("early_success", "late_success", "learning_gain", "final_success"):
require(finite(condition.get(key)), f"{path}: {name}.{key} non-finite")
for value in row.get("signatures", {}).values():
require(finite(value), f"{path}: non-finite signature")
def seed_gate(row):
intact = row["conditions"]["intact"]
fixed = row["conditions"]["fixed_vectorizer"]
both = row["conditions"]["both_lesion"]
signatures = row["signatures"]
checks = {
"learning_gain_10pt": intact["learning_gain"] >= 0.10,
"fixed_vectorizer_gap_20pt": (
intact["final_success"] - fixed["final_success"] >= 0.20),
"residual_soma_corr": signatures["mean_abs_residual_soma_corr"] <= 0.10,
"positive_sign_inversion": (
signatures["causal_role_sign_inversion_index"] > 0),
"both_lesion_removes_half_gain": (
both["learning_gain"] <= 0.5 * intact["learning_gain"]),
}
return checks
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--results", default="results/bci_dev")
parser.add_argument("--output", default="results/bci_dev_selection.json")
args = parser.parse_args()
paths = sorted(glob.glob(os.path.join(args.results, "bci_dev_v1_*.json")))
require(len(paths) == 36, f"expected 36 development files, found {len(paths)}")
groups = {}
seen = set()
for path in paths:
with open(path) as handle:
row = json.load(handle)
validate_row(row, path)
identity = candidate_key(row) + (row["args"]["task_seed"],)
require(identity not in seen, f"duplicate development cell {identity}")
seen.add(identity)
row["_path"] = path
groups.setdefault(candidate_key(row), []).append(row)
expected = {(feedback, kappa, eta, seed)
for feedback in FEEDBACKS for kappa in KAPPAS for eta in ETAS
for seed in TASK_SEEDS}
require(seen == expected, f"development grid mismatch: missing={sorted(expected-seen)}")
summaries = []
for key in sorted(groups):
rows = sorted(groups[key], key=lambda row: row["args"]["task_seed"])
checks = [seed_gate(row) for row in rows]
eligible = all(all(values.values()) for values in checks)
summaries.append({
"feedback": key[0], "kappa": key[1], "eta": key[2],
"eligible": eligible,
"seed_checks": checks,
"task_seeds": [row["args"]["task_seed"] for row in rows],
"final_success": [row["conditions"]["intact"]["final_success"]
for row in rows],
"learning_gain": [row["conditions"]["intact"]["learning_gain"]
for row in rows],
"fixed_final_gap": [
row["conditions"]["intact"]["final_success"]
- row["conditions"]["fixed_vectorizer"]["final_success"]
for row in rows],
"sign_inversion": [
row["signatures"]["causal_role_sign_inversion_index"] for row in rows],
"worst_final_success": min(
row["conditions"]["intact"]["final_success"] for row in rows),
"worst_sign_inversion": min(
row["signatures"]["causal_role_sign_inversion_index"] for row in rows),
"source_paths": [row["_path"] for row in rows],
"source_commits": sorted({row["provenance"]["git_commit"] for row in rows}),
})
eligible = [summary for summary in summaries if summary["eligible"]]
selected = None
if eligible:
best_final = max(summary["worst_final_success"] for summary in eligible)
finalists = [summary for summary in eligible
if summary["worst_final_success"] >= best_final - 0.01]
finalists.sort(key=lambda summary: (
-summary["worst_sign_inversion"], summary["kappa"], summary["eta"],
0 if summary["feedback"] == "error" else 1))
chosen = finalists[0]
selected = {key: chosen[key] for key in (
"feedback", "kappa", "eta", "worst_final_success",
"worst_sign_inversion", "source_commits")}
output = {
"schema_version": 1,
"protocol": "oral_b_continuous_bci_development_v1",
"complete_grid": True,
"confirmation_seeds_touched": False,
"status": "selected" if selected else "failed_no_eligible_candidate",
"selected": selected,
"candidates": summaries,
"source_sha256": {path: file_hash(path) for path in paths},
}
if os.path.exists(args.output):
raise FileExistsError(f"refusing to overwrite {args.output}")
with open(args.output, "w") as handle:
json.dump(output, handle, indent=2, sort_keys=True)
handle.write("\n")
print("feedback kappa eta eligible worst-final worst-sign")
for summary in summaries:
print(f"{summary['feedback']:<18} {summary['kappa']:>5.1f} "
f"{summary['eta']:>5.2f} {str(summary['eligible']):>9} "
f"{summary['worst_final_success']:>11.3f} "
f"{summary['worst_sign_inversion']:>10.4f}")
print(json.dumps({"status": output["status"], "selected": selected},
indent=2, sort_keys=True))
if __name__ == "__main__":
main()
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