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#!/usr/bin/env python3
"""Run one untouched calibration-split oral-B-v2 confirmation cell."""
import argparse
import json
import os
import sys
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from experiments.bci_v2_calibrated_run import (
PROTOCOL_PATH,
finite_tree,
provenance,
require_parent_gates,
run_cell,
sha256,
source_paths,
)
from experiments.bci_v2_recovery_run import FIXED_CONFIG
ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
R1_GATE_PATH = os.path.join(
ROOT, "results", "bci_v2_calibrated_dev_gate.json"
)
TASK_SEEDS = tuple(range(30, 36))
MODEL_SEEDS = tuple(range(5))
def require_r1_gate(r1):
digests = {
name: sha256(path)
for name, path in source_paths().items()
}
if not (
r1.get("protocol")
== "oral_b_v2_calibrated_recovery_development_v1"
and r1.get("status") == "passed"
and r1.get("complete_grid") is True
and r1.get("fixed_config") == FIXED_CONFIG
and r1.get("confirmation_seeds_touched") is False
and r1.get("calibrated_confirmation_opened") is True
and r1.get("review_score_after") == 7
and r1.get("input_sha256") == digests
):
raise ValueError(
"calibrated R2 requires the complete eligible R1 gate"
)
def main():
parser = argparse.ArgumentParser()
parser.add_argument(
"--task-seed", type=int, choices=TASK_SEEDS, required=True
)
parser.add_argument(
"--model-seed", type=int, choices=MODEL_SEEDS, required=True
)
parser.add_argument(
"--r1-gate",
default="results/bci_v2_calibrated_dev_gate.json",
)
parser.add_argument(
"--outdir", default="results/bci_v2_calibrated_confirmation"
)
args = parser.parse_args()
require_parent_gates()
with open(args.r1_gate) as handle:
r1 = json.load(handle)
require_r1_gate(r1)
source = provenance({
"development_runner": os.path.join(
ROOT, "experiments", "bci_v2_calibrated_run.py"
),
"runner": os.path.abspath(__file__),
"r1_gate": os.path.abspath(args.r1_gate),
})
if (
source["git_tracked_dirty"]
or not all(source["tracked_inputs"].values())
):
raise RuntimeError(
"calibrated R2 requires clean, tracked, frozen inputs"
)
cell = run_cell(
args.task_seed,
args.model_seed,
split="untouched_confirmation",
performance_seed_offset=590_000,
calibration_seed_offset=600_000,
challenge_seed_offset=610_000,
)
result = {
"schema_version": 4,
"protocol": {
"name":
"oral_b_v2_calibrated_recovery_confirmation_v1",
"split": "untouched_confirmation",
"training_task_seed": args.task_seed,
"model_seed": args.model_seed,
"fixed_config": FIXED_CONFIG,
"calibration_uses_outcome_labels": False,
"no_further_selection": True,
"confirmation_grid_size": (
len(TASK_SEEDS) * len(MODEL_SEEDS)
),
"protocol_sha256": sha256(PROTOCOL_PATH),
"r1_gate_sha256": sha256(args.r1_gate),
},
"args": vars(args),
"provenance": source,
**cell,
}
result["finite"] = finite_tree(result)
if not result["finite"]:
raise RuntimeError("non-finite calibrated confirmation record")
os.makedirs(args.outdir, exist_ok=True)
path = os.path.join(
args.outdir,
(
f"bci_v2_calibrated_confirm_t{args.task_seed}"
f"_m{args.model_seed}.json"
),
)
if os.path.exists(path):
raise FileExistsError(f"refusing to overwrite {path}")
with open(path, "w") as handle:
json.dump(result, handle, indent=2, sort_keys=True)
handle.write("\n")
print(json.dumps({
"path": path,
"intact_final": result["conditions"]["intact"]["final_success"],
"challenge_success_fraction": result["signatures"][
"challenge_success_fraction"
],
"terminal_outcome_accuracy": result["signatures"][
"terminal_residual_outcome_balanced_acc"
],
"finite": result["finite"],
}, indent=2))
if __name__ == "__main__":
main()
|
