kupp1

import math

values = {}
N = 0
while True:
    inpt = input()
    if inpt == 'stop':
        break
    N += 1
    inpt = float(inpt)

kupp1

#include <stdio.h>
#include <inttypes.h>

int main(int argc, char *argv[]) 
{
	uint_fast16_t N, count = 0;
	scanf("%" SCNuFAST16, &N);
  uint_fast16_t cur_cap = 1, following = 10;
  /* cur_cap - текущая разрядность числа
     following - первое число большей разрядности */

kupp1

game=test
love_win=./.love_win
love_linux=./.love_linux
$(game): clean dirs love linux windows

.PHONY: clean dirs
clean:
	-rm -r build

dirs:

kupp1

def vigenere(msg, key, crypt_flag=True):
    """
        vigenere cipher for small latin letters
        crypt_flag == True mean crypt
        crypt_flag == False mean decrypt
    """
    msg, key = list(map(ord, msg)), list(map(ord, key))
    msglen, keylen = len(msg), len(key)
    new_msg = ''
    for i in range(msglen):

kupp1

Aachener Printen
Abernethy
Acıbadem kurabiyesi
Afghan biscuits
Alfajor
Almond biscuit
Amaretti di Saronno
Animal cracker
ANZAC biscuit
Aparon

kupp1

#include <stdio.h>
#include <inttypes.h>

#define N 100000

uint_fast16_t f()
{
    static uint_fast16_t last = 0, indxs[N] = {0}, i = 0;
    i++;
    uint_fast16_t tmp = last;

kupp1

import sys
from PIL import Image
import numpy as np
import colorsys as cs

im = Image.open(sys.argv[1]).convert('RGB')
rgb_array = np.array(im)

shape = rgb_array.shape

kupp1

import numpy
import sys
from PIL import Image
import matplotlib.pyplot as plt


def get_rgb(r: int, g: int, b: int):
    if 0 <= r <= 255 and 0 <= g <= 255 and 0 <= b <= 255:
        return '#%02x%02x%02x' % (r, g, b)

kupp1

P=monty
OBJECTS=
CFLAGS = -g -Iinclude -Wall `pkg-config --cflags libsodium`
LDLIBS= `pkg-config --libs libsodium`
CC=cc

$(P): $(OBJECTS)

clean:
	-rm $(OBJECTS) $(P)

kupp1

import random

def selection_sort(a: list):
    length = len(a)
    for i in range(length):
        current_min_i = i
        current_min = a[i]
        for j in range(i + 1, length):
            if a[j] < current_min:
                current_min = a[j]