Stovoy

from PIL import Image

def convert_webp_to_gif(webp_file, gif_file):
    # Open the WEBP file using the PIL library
    webp_image = Image.open(webp_file)
    
    # Initialize lists to store the frames and durations of the WEBP image
    frames = []
    durations = []
    

Stovoy

import asyncio

import aiohttp
from bs4 import BeautifulSoup

base_url = "https://control.fandom.com"
all_collectibles = "/wiki/Collectibles/List_of_Collectibles"


def stats(text):

Stovoy

# Minimum moves solver for https://www.funnyhowtheknightmoves.com/

from collections import deque

import chess


def main():
    destinations = [chess.F8, chess.E8, chess.C8, chess.B8,
                    chess.H7, chess.G7, chess.E7, chess.C7, chess.A7,

Stovoy

using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Running;
using CommunityToolkit.HighPerformance;

public struct Position {
    public float x;
    public float y;
};

public class TestStructModification {

Stovoy

import argparse
import math
import multiprocessing
import os
import itertools as it

from scipy import ndimage
from skimage.metrics import structural_similarity
import cv2
import numpy as np

Stovoy

import math
import time

import pygame


class Vector:
    def __init__(self, p1, p2):
        self.x1, self.y1 = p1
        self.x2, self.y2 = p2

Stovoy

package main

import (
	"fmt"
	"sort"
	"strings"
)

type Shape struct {
	grid   [][]bool

Stovoy

use rdev::{simulate, grab, Event, EventType, Key};

static mut SIMULATED: u32 = 0;

fn main() {
    if let Err(error) = grab(callback) {
        println!("Error: {:?}", error)
    }
}

Stovoy

I’ve just finished reading through the now approved proposal for generics in Go and am beyond excited.
Speaking as someone who works for a major tech company that uses primarily Go, and having personally been writing Go on-and-off for over 5 years, I believe this will be a huge game changer.
In particular, this will very strongly support and encourage companies to use Go for higher performance critical projects as opposed to C++ or Rust. Allow me to illustrate why I believe this to be the case.
I’m a big fan of Rust as well, and had attempted to introduce it at work in the past. It’s difficult to integrate, and the learning curve is a problem, as well as general complexity in comparison to the extreme ergonomics of Go.
Why Rust? Rust has no garbage collector, and is certainly faster than Go, due to having effectively no runtime. For real time computing, projects with extreme performance requirements, or with strict memory budgets, Rust will still be superior.
However, there’s a middle ground where Go will now

Stovoy

import string
import requests

letters = 'lairodm'
must_have = 'm'

length = 4

raw = requests.get(
    'https://raw.githubusercontent.com/dwyl/english-words/master/words_alpha.txt').text.split('\n')