diff --git a/3_job_array/job_array_task copy.py b/3_job_array/job_array_task copy.py
deleted file mode 100644
index e8886182e07db99decbdad2dbaf2c85d3fb4be24..0000000000000000000000000000000000000000
--- a/3_job_array/job_array_task copy.py	
+++ /dev/null
@@ -1,55 +0,0 @@
-from datetime import datetime
-from multiprocessing import Pool
-
-import json
-import logging
-import os
-import sys
-import time
-
-logger = logging.getLogger(__name__)
-
-def sleep(input):
-    time.sleep(input[1])
-    logger.info('Task %d done.',input[0])
-
-def main(filename: str):
-    # Read environment variables.
-    NUMBER_OF_CORES = os.environ.get('SLURM_CPUS_PER_TASK','Unknown')
-    if NUMBER_OF_CORES in 'Unknown':
-        logger.error('Unkown number of cores, exiting.')
-        return
-
-    NUMBER_OF_CORES = int(NUMBER_OF_CORES)
-    logger.info('Running program with %d cores.',NUMBER_OF_CORES)
-
-    # Reading configuration file and create a list of tasks
-    # This represents the reading of parameters and calculations
-    logger.info('Reading configuration from %s.',filename)
-    with open(filename, 'r') as file:
-        data = json.load(file)
-    
-    tasks = []
-    total_time = 0
-    for i in range(len(data['sleep'])):
-        time = data['sleep'][i]
-        tasks.append((i, time))
-        total_time = total_time + time
-
-    # Creating a multiprocessing pool to perform the tasks
-    pool = Pool(processes=NUMBER_OF_CORES)
-
-    # Running submitting the tasks to the worker pool
-    tic = datetime.now()
-    logger.info('Submitting tasks to pool.')
-    pool.map(sleep, tasks)
-    toc = datetime.now()
-
-    logger.info('All tasks are done, took %d seconds, compared to %d seconds with single thread.',
-        (toc-tic).seconds, total_time)
-    
-
-if __name__ == '__main__':
-    logging.basicConfig(level=logging.INFO)
-    filename = sys.argv[1]
-    main(filename)