ammar-faifi

import time
import multiprocessing
import threading
from concurrent.futures import ThreadPoolExecutor


def cpu_bound_task(n):
    """A CPU-bound task that calculates the sum of squares."""
    return sum(i * i for i in range(n))

ammar-faifi

const userIdsToBlock = [
  '1761800633500188672',
  '1234567890123456789',
  '9876543210987654321'
];

// Function to block a single user
async function blockUser(userId) {
  const url = "https://x.com/i/api/1.1/blocks/create.json";
  const headers = {

ammar-faifi

# add this to your kitty config: `~/.config/kitty/kitty.conf`
map ctrl+g kitten hints --type=linenum --regex='(?P<path>\/.*?\.[\w:]+)",\sline\s(?P<line>\d*)' --program='tab nvim +{line} {path}'

ammar-faifi

using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;

class Program
{
    static async Task Main()
    {
        await FetchDataFromGraphQL();

ammar-faifi

const endpointUrl = 'https://api.petroly.co/';

const graphqlQuery = `
  {
    search(term: "202320", department: "ICS", title: "")
  }
`;

fetch(endpointUrl, {
  method: 'POST',

ammar-faifi

import subprocess


def reduce_video_quality(
    input_file,
    output_file,
    target_resolution=(640, 360),
    target_fps=30,
    target_bitrate="1500k",
):

ammar-faifi

from PIL import Image
import os
import glob


def resize_and_reduce_quality(input_dir, output_dir, max_size, quality):
    if not os.path.exists(output_dir):
        os.makedirs(output_dir)

    for filename in os.listdir(input_dir):

ammar-faifi

from moviepy.editor import VideoFileClip


def convert_mov_to_mp4(input_file, output_file):
    try:
        video_clip = VideoFileClip(input_file, target_resolution=(1920, 1080))
        video_clip.write_videofile(
            output_file,
            codec="libx264",
            audio_codec="aac",

ammar-faifi

import random


def read_csv(file_path):
    with open(file_path, "r") as file:
        lines = file.readlines()

    rows = [line.strip().split(",") for line in lines]

    return rows