Python

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how can i prompt Ai to build me a simple script that can do the following:

I have two files containing thousands of lines of number combinations, 
each line containing six numbers. Something like this:
2 12 46 52 65 3
1 2 21 37 43 21
9 11 30 43 69 20
3 11 13 24 39 22
2 26 45 46 52 21

To be clear, they are lottery combinations. So i have two files containing such data, thousands of lines of combinations per file. Let us call the two files FileOfu and FileAbuo. 

I want a script that can look at all the combinations in FileAbuo and then check if they also exist in FileOfu. All the combinations in FileAbuo that also exist in FileOfu will be deleted, i.e, duplicates that exist in both files. The output file therefore will contain the remaining lines of combinations in FileOfu that do not also exist in FileAbou.
Literally just compare two files and eliminate identical number combinations.

I have tried prompting AI to make the script, but the script it makes always falls short. With a few hundreds of lines of combinations, it works. But with thousands of lines, it fails. I wonder where i am making the mistake. 
I am not a programmer, just a script kiddie.
I have tried Python script. I wonder if other languages can give better script maybe.

import logging
from telegram import Bot
from telegram.error import TelegramError

# Configurez le logging
logging.basicConfig(
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
    level=logging.INFO
)
logger = logging.getLogger(__name__)

# Informations spécifiques
TOKEN = "TOKEN_DU_BOT"
GROUP_ID = 123456789  # Remplacez par l'ID de votre groupe

# Fonction pour récupérer les demandes d'adhésion en attente
async def get_membership_requests(bot: Bot, group_id: int) -> list:
    try:
        administrators = await bot.get_chat_administrators(chat_id=group_id)
        membership_requests = []
        for admin in administrators:
            if not admin.user.is_bot:
                member = await bot.get_chat_member(chat_id=group_id, user_id=admin.user.id)
                if member.status == 'restricted':
                    membership_requests.append(member)
        return membership_requests
    except TelegramError as e:
        logger.error(f"Erreur lors de la récupération des demandes d'adhésion : {e}")
        return []

# Fonction pour envoyer des messages aux utilisateurs en attente
async def send_membership_notifications(bot: Bot, group_id: int, membership_requests: list) -> None:
    for request in membership_requests:
        try:
            await bot.send_message(
                chat_id=request.user.id,
                text="Votre demande d'adhésion au groupe a été reçue. Veuillez patienter pendant que l'administrateur approuve votre demande."
            )
            logger.info(f"Notification envoyée à l'utilisateur : {request.user.id}")
        except TelegramError as e:
            logger.error(f"Erreur lors de l'envoi de la notification à l'utilisateur {request.user.id} : {e}")

async def main() -> None:
    bot = Bot(token=TOKEN)

    # Récupérer les demandes d'adhésion en attente
    membership_requests = await get_membership_requests(bot, GROUP_ID)

    # Envoyer des messages aux utilisateurs en attente
    await send_membership_notifications(bot, GROUP_ID, membership_requests)

if __name__ == '__main__':
    import asyncio
    asyncio.run(main())

I recently upgraded a Blue Iris install which was working with CP 2.5.6 without any difficulties. However, after upgrading to CP 2.6.5 (and installing new modules Yolov5.net, Optical Character Recognition, and License Plate reader, I noticed that there is a slow buildup of ram use by Python that I did not have before. In the past, the system ram use was stable over weeks and months but now over the course of several days system ram use slowly ramps up.

In Task Manager, I can see that Python is using the majority of the system RAM.  If I stop the License Plate Reader module leaving the other two modules running, python memory use disappears from Task manager and overall ram use is normal.  Restarting License Plate Reader module restarts python with typical normal RAM use but after several days, it will become excessive (in excess of 6 GB).  

appears to be a memory leak in License Plate Reader with CP 2.6.5 that did not exist in 2.5.6?

source code of glocery management system using php

sqlalchemy.exc.IntegrityError: (psycopg2.errors.NotNullViolation) null value in column "user_id" of relation "messages" violates not-null constraint
DETAIL:  Failing row contains (11, Hello Guys, 2024-04-19 13:02:36.170058, null).