run_hfjets.py

#!/bin/env python3
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# This program is free software: you can redistribute it and/or modify it #
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import argparse
import subprocess
import sys

parser = argparse.ArgumentParser()
parser.add_argument("--case", "-c", default="d0jet")
parser.add_argument("--analysis", "-a", default="jet_obs")
parser.add_argument("--steps", "-s", nargs="+", default=["analyzer"])
parser.add_argument("--interactive", "-i", action="store_true")
parser.add_argument("--delete", "-d", action="store_true")
# parser.add_argument('--dryrun', '-n', action='store_true')
args = parser.parse_args()

DB = f"machine_learning_hep/data/data_run3/database_ml_parameters_{args.case}.yml"

for step in args.steps:
    subprocess.run(
        f"mlhep -r machine_learning_hep/submission/{step}.yml "
        + f"-d {DB} {'-b' if not args.interactive else ''} "
        + f"-a {args.analysis} {'--delete' if args.delete else ''}",
        shell=True,
        stdout=sys.stdout,
        stderr=sys.stderr,
        check=True,
    )