OarLauncher 0.1.8

Description

Simply start oar job array on nef cluster

Install

pip install --upgrade OarLauncher

Usage

import treefiles as tf
from OarLauncher import ArrayJob


# Choose a directory where script and logs are dumped
out_dir = tf.Tree.new(__file__, "generated").dump(clean=True)

# Create parameters array
nb_jobs, data = 10, ArrayJob.Data
for i in range(nb_jobs):
    data["simu_dir"].append(f"d_{i}")
    data["infos"].append(f"this is job {i}")

# Path of the script that will be called by each job of the array
# Each line of data will be sent to this script as json command line argument
job_script = tf.curDirs(__file__, "job.py")

# Create the job array
jobs = ArrayJob(out_dir, data, job_script)
# Setup jobs conf
jobs.build_oar_command(minutes=100, queue=tf.oar.Queue.BESTEFFORT)
# Write scripts
jobs.dump()
# Start the job array (blocking operation)
shell_out = jobs.run()
print(shell_out)