AptiviCEO

# Necessary imports for this app
from urllib.request import urlopen
import argparse
import random

# Functions
def genname(num):
  # Get first names
  firstNames = urlopen('https://cdn.jsdelivr.net/gh/EoflaOE/NamesList@master/Processed/FirstNames.txt').read()
  firstNamesArray = firstNames.decode('utf-8').splitlines()

AptiviCEO

import re
import argparse

def filterVTSequences(text):
  pattern = '^(\x9D|\x1B\]).+(\x07|\x9c)|\x1b [F-Nf-n]|\x1b#[3-8]|\x1b%[@Gg]|\x1b[()*+][A-Za-z0-9=`<>]|\x1b[()*+]\"[>4?]|\x1b[()*+]%[0-6=]|\x1b[()*+]&[4-5]|\x1b[-.\/][ABFHLM]|\x1b[6-9Fcl-o=>\|\}~]|(\x9f|\x1b_).+\x9c|(\x90|\x1bP).+\x9c|(\x9B|\x1B\[)[0-?]*[ -\/]*[@-~]|(\x9e|\x1b\^).+\x9c|\x1b[DEHMNOVWXYZ78]$'
  result = re.sub(pattern, '', text)
  print(result)

parser = argparse.ArgumentParser()
parser.add_argument('text', type=str, help="Text to filter")

AptiviCEO

using System;
using System.Linq;
using System.Collections.Generic;
using System.Diagnostics;
using System.Reflection;
using System.Linq.Expressions;

namespace Aptivi;

class ExpressionGetSet