[Python] Spread out task evenly over a minute, some tasks will run multiple times and should...

I have a conifg file with a list of bash script that should run times_per_min amount of time(s) during 60 seconds.

tasks.yaml:

every_minute:
- name: test0
path: test0.sh
times_per_min: 3
- name: test1
path: test1.sh
times_per_min: 2


My python code to import the tasks and run them:

import subprocess
import time
import yaml

TASKS = []

with open("tasks.yaml") as file:
measurements = yaml.safe_load(file)

for every_min in measurements["every_minute"]:
for _ in range(every_min["times_per_min"]):
TASKS.append(every_min["path"])

interval = 60 / len(TASKS)

for task in TASKS:
try:
PROCESSES.append(subprocess.Popen([task]))
except Exception as e:
print("An error occured")
time.sleep(interval)


In this case, TASKS would look like:

print(TASKS)
['test0.sh', 'test0.sh', 'test0.sh', 'test1.sh', 'test1.sh']


What I would like: ['test0.sh', 'test1.sh', 'test0.sh', 'test1.sh', 'test0.sh']

Also note that I want this distribution to work no matter the amount of tasks and the times_per_min value...

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