Comprehensive Python Functionality Integration

This function combines the functionalities of various Python built-in libraries, including generating a unique identifier, calculating square roots, getting the current time, generating a random string, listing directory files, executing commands, and reading from standard input.

Technology Stack : array, collections.OrderedDict, datetime, hashlib, math, os, random, string, subprocess, sys, time

Code Type : Function

Code Difficulty :

                
                    
def aordnslm(arg1, arg2, arg3):
    from array import array
    from collections import OrderedDict
    from datetime import datetime
    from hashlib import md5
    from math import sqrt
    from os import listdir
    from random import random
    from string import ascii_letters, digits
    from subprocess import Popen, PIPE
    from sys import stdin
    from time import time

    # Create a unique identifier using MD5 hash
    unique_id = md5(f"{arg1}{arg2}{arg3}".encode()).hexdigest()

    # Calculate the square root of the sum of the squares of the arguments
    sum_of_squares = sum([sqrt(x**2) for x in [arg1, arg2, arg3]])

    # Get the current date and time
    current_time = datetime.now().strftime('%Y-%m-%d %H:%M:%S')

    # Generate a random string of letters and digits
    random_string = ''.join([random.choice(ascii_letters + digits) for _ in range(10)])

    # List all files in a directory
    directory_files = listdir('/path/to/directory')

    # Execute a command and capture the output
    process = Popen(['echo', 'Hello, World!'], stdout=PIPE)
    output, error = process.communicate()

    # Read input from stdin
    input_data = stdin.read()

    # Return an ordered dictionary with the results
    return OrderedDict([
        ('unique_id', unique_id),
        ('sum_of_squares', sum_of_squares),
        ('current_time', current_time),
        ('random_string', random_string),
        ('directory_files', directory_files),
        ('output', output.decode()),
        ('input_data', input_data)
    ])