MikuroXina

class SelfLoveRecoveryProgram:
    def __init__(self):
        self.self_love_level = 50

    def increase_self_love(self, amount):
        self.self_love_level += amount

    def decrease_self_love(self, amount):
        self.self_love_level -= amount

MikuroXina

use std::collections::BTreeMap;

#[derive(Debug)]
pub struct CoCo<K: Ord> {
    forward: BTreeMap<K, usize>,
    backward: Vec<K>,
}

impl<K: Ord> CoCo<K> {
    pub const fn new() -> Self {

MikuroXina

import json
import itertools
from typing import Any, Dict, List, Set, Tuple
from tqdm import tqdm
from functools import reduce
import operator
import math


def product_of_positive_factorials(multi_index):

MikuroXina

use std::{borrow::Borrow, collections::BTreeMap, num::NonZeroUsize};

#[derive(Debug, Clone)]
pub struct BTreeMultiSet<T> {
    counts: BTreeMap<T, NonZeroUsize>,
    len: usize,
}

impl<T> BTreeMultiSet<T> {
    pub const fn new() -> Self {

MikuroXina

/**
 * Make `<canvas>` prepared for more pixel density display and returns a 2D rendering context.
 *
 * @param canvas {HTMLCanvasElement} - To be preapared.
 * @param devicePixelRatio {number} - The pixel ratio by device.
 * @returns {Canvas2DRenderingContext} - The scaled 2D rendering context.
 */
export function setupCanvas(canvas, devicePixelRatio) {
    const { width, height } = canvas;
    canvas.width *= devicePixelRatio;

MikuroXina

#pragma once

#include <vector>

class Fenwick {
    std::vector<size_t> data;

    size_t parent(size_t i) const {
        return i - (i & (-i));
    }

MikuroXina

#pragma once

template<class T>
inline void insert_sort(vector<T> &vec, size_t g) {
    for (size_t i = g; i < vec.size(); ++i) {
        int v = vec[i];
        int j = i - g;
        while (0 <= j && v < vec[j]) {
            vec[j + g] = vec[j];
            j -= g;

MikuroXina

#pragma once

#include <algorithm>
#include <optional>

enum class Direction {
    North,
    West,
    East,
    South,

MikuroXina

#pragma once

#include <cmath>
#include <ostream>

const double PI = 3.141592653589793;

struct Quaternion {
    double a, b, c, d;

MikuroXina

#include <algorithm>
#include <iostream>
#include <numeric>

using namespace std;

int main() {
    int nums[3];
    for (auto &num: nums) {
        cin >> num;