donRumata03

#pragma once
#include <cassert>
#include <cstdlib>
#include <iterator>
#include <utility>
#include <memory>
#include <algorithm>


template <typename T>

donRumata03

#![allow(dead_code)]
#![allow(unused_imports)]

use {
    std::{
        io::{
            self,
            Read,
            Write,
            Stdin,

donRumata03

import telebot

def clean_word(word: str):
	return "".join(filter(lambda x: str.isalnum(x), word.lower()))

def IpatovMarkize(string: str):
	words = string.split()

	has_mipatov = False

donRumata03

from fourth import *

weight_addition_on_pole_newtons = a_to_center * m_stone
weight_addition_on_pole_micronewtons = weight_addition_on_pole_newtons * 1e6

if __name__ == '__main__':
    print(weight_addition_on_pole_micronewtons)

donRumata03

#include <Arduino.h>
#include <SoftwareSerial.h>

class Joystick{
    int m_up = 0;
    int m_down = 0;
    int m_right = 0;
    int m_left = 0;
    bool m_button = false;

donRumata03

import numpy as np
from matplotlib import pyplot as plt
from scipy.optimize import curve_fit


data = [(float(i[0]), float(i[1])) for i in list(map(str.split, open("data1.txt", "r").read().strip().split("\n")))]

def line(_x, _k, b):
    return _x * _k + b

donRumata03

from typing import *

class edge:
    def __init__(self, s, e, l):
        self.start = s
        self.end = e
        self.length = l
    def __repr__(self):
        return f"({self.start}, {self.end}, {self.length})"
    start : int

donRumata03

import random
from typing import Any
from matplotlib import pyplot as plt
import numpy as np


class linear_regression:
    b : float
    k : float
    def __init__(self, init_k : float, init_b : float):