File size: 3,839 Bytes
43b4299 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 | """Execute the notebook in a fresh CPU kernel, with an 8 GiB address-space cap."""
import argparse
import json
import os
from pathlib import Path
import resource
import sys
import time
import nbformat
from nbclient import NotebookClient
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--remote", action="store_true")
parser.add_argument("--revision")
parser.add_argument("--output", type=Path, default=Path("/tmp/trajectory_eda_executed.ipynb"))
args = parser.parse_args()
root = Path(__file__).resolve().parents[1]
os.environ.update(MPLCONFIGDIR="/tmp/trajectory_mpl", OPENBLAS_NUM_THREADS="1", OMP_NUM_THREADS="1",
CUDA_VISIBLE_DEVICES="", HF_HUB_DISABLE_IMPLICIT_TOKEN="1", HF_HOME="/tmp/trajectory_anonymous_hf")
os.environ.pop("HF_TOKEN", None)
os.environ["CORPUS_EXPORT_DIR"] = "/tmp/trajectory_eda_exports"
if args.remote:
os.environ.pop("CORPUS_LOCAL_ROOT", None)
else:
os.environ["CORPUS_LOCAL_ROOT"] = str(root)
if args.revision:
os.environ["CORPUS_REVISION"] = args.revision
resource.setrlimit(resource.RLIMIT_AS, (8 * 1024**3, 8 * 1024**3))
kernel_dir = Path("/tmp/trajectory_jupyter/kernels/trajectory-cpu")
kernel_dir.mkdir(parents=True, exist_ok=True)
(kernel_dir / "kernel.json").write_text(json.dumps({
"argv":[sys.executable,"-m","ipykernel_launcher","-f","{connection_file}"],
"display_name":"Trajectory CPU validation", "language":"python"}))
os.environ["JUPYTER_PATH"] = "/tmp/trajectory_jupyter"
nb = nbformat.read(root / "trajectory_eda_colab.ipynb", as_version=4)
nb.cells.append(nbformat.v4.new_code_cell("""
# Validation-only checks for lazy examples and the interactive callback.
process = example_summary.loc[(example_summary.example_kind == 'process') & (example_summary.truncated == True)].iloc[0]
assert inspect_example(process.example_id)['metadata']['truncated'] is True
packet = example_summary.loc[example_summary.example_kind == 'experiment1_judge_packet'].iloc[0]
assert inspect_example(packet.example_id)['packet_id'] == packet.example_id
controls['collection'].value = 'olmo'
rejected = episodes.loc[(episodes.collection == 'olmo') & (episodes.rejected_responses > 0)].sort_values('events').iloc[0]
picker.value = rejected.episode_id
canonical_only.value = False
only_rejected.value = True
show_timeline()
assert selected_bundle['episode']['episode_id'] == rejected.episode_id
assert any(e['rejected_response'] for e in selected_bundle['events'])
controls['collection'].value = 'qwen'
assert all(eid in set(episodes.loc[episodes.collection == 'qwen','episode_id']) for label,eid in picker.options)
print('Inspector filters, rejected-response callback, truncated example, and packet loads passed.')
"""))
start = time.monotonic()
client = NotebookClient(nb, timeout=240, kernel_name="trajectory-cpu", resources={"metadata":{"path":"/tmp"}})
client.execute()
nbformat.write(nb, args.output)
report = {"status":"passed", "mode":"anonymous_remote" if args.remote else "local_publication_copy",
"code_cells_executed":sum(c.cell_type == "code" for c in nb.cells),
"elapsed_seconds":round(time.monotonic()-start,2), "address_space_cap_gib":8,
"peak_child_rss_mib":round(resource.getrusage(resource.RUSAGE_CHILDREN).ru_maxrss/1024,2),
"gpu_visible":False, "model_calls":0, "login_required":False,
"dataset_revision":args.revision or "resolved_inside_notebook", "executed_notebook":str(args.output)}
target = root / "provenance" / ("notebook_anonymous_execution.json" if args.remote else "notebook_cpu_execution.json")
target.write_text(json.dumps(report,indent=2)+"\n")
print(json.dumps(report,indent=2))
if __name__ == "__main__":
main()
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