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#!/bin/bash

# Check if a file path was provided
if [ "$#" -ne 1 ]; then
    echo "Usage: \$0 <path-to-python-file>"
    exit 1
fi

# The file path is the first argument to the script
FILE_PATH="$1"

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"""
Process lifecycle management controller, the main purpose of such controller will accept requests from the client, transform incoming batch requests to multiple parallel process inside, and execute those processes to initialize associated job and distributed to multiple backend server considering the workload even & request reliable, the controller will keep monitoring the job result, respond to client, handle the error exception and recycle the process resource. 

Sample below only demonstrates the basic concept of how to manage the process lifecycle, it's not a complete solution, the real-world scenario will be more complex and need to consider more factors like the process resource limitation, the process priority, the process dependency, the process retry etc. it mainly focus on the process state transition and managament in parallel processing.

Below are Mermaid state diagram illustrating the transitions between these Linux process states:
stateDiagram-v2
    [*] --> Running
    Running --> Interrup

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# disable the restart dialogue and install several packages
sudo sed -i "/#\$nrconf{restart} = 'i';/s/.*/\$nrconf{restart} = 'a';/" /etc/needrestart/needrestart.conf
sudo apt-get update
sudo apt install wget git python3 python3-venv build-essential net-tools awscli -y

# install CUDA (from https://developer.nvidia.com/cuda-downloads)
wget https://developer.download.nvidia.com/compute/cuda/12.0.0/local_installers/cuda_12.0.0_525.60.13_linux.run
sudo sh cuda_12.0.0_525.60.13_linux.run --silent

# install git-lfs

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# install python 3.9 in AWS EC2
cd /opt 
wget https://www.python.org/ftp/python/3.9.16/Python-3.9.16.tgz 
tar -xvf Python-3.9.16.tgz
cd Python-3.9.16
./configure --enable-optimizations
make altinstall
python3.9 -V
python3.9 -m pip install --upgrade pip
python3.9 -m pip install --upgrade setuptools

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# -*- coding: utf-8 -*-
"""
Python daemon implementation from:

http://www.jejik.com/articles/2007/02/a_simple_unix_linux_daemon_in_python/
"""
import atexit
import os
import sys
import time

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#!/usr/bin/env bash

set -o errexit
set -o nounset
set -o pipefail
if [[ "${TRACE-0}" == "1" ]]; then
    set -o xtrace
fi

if [[ "${1-}" =~ ^-*h(elp)?$ ]]; then

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import * as cdk from "aws-cdk-lib";
import {CfnUserPoolUserToGroupAttachment, IUserPool} from "@aws-cdk/aws-cognito";
import {AwsCustomResource, AwsCustomResourcePolicy, PhysicalResourceId} from "@aws-cdk/custom-resources";

export class UserPoolUser extends cdk.Stack {

    constructor(scope: cdk.App, id: string, props: {
        userPool: IUserPool,
        username: string,
        password: string,

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# script to auto generate ssl certs and upload to s3 bucket
import os
import boto3
import logging
import subprocess
import sys
import time
from multiprocessing import Pool

# set logging to stdout

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from cmath import log
from godaddypy import Client, Account
import configparser
import os
import logging
import sys
logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s [%(levelname)s] %(message)s",
    handlers=[

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# scan given domain with dig command
#
# Usage:
# ./dig_scan.py <domain>
#
# Example:
# ./dig_scan.py example.com
#
# Output:
#