gauravkoradiya

"""https://www.codechef.com/LRNDSA01/problems/ZCO14003/"""
def main():
    num_customer = int(input())
    bgt_lst = sorted([int(input()) for i in range(num_customer)],reverse=True)
    revenue = max([(index+1)*value for index,value in enumerate(bgt_lst)])
    print(revenue)
    
if __name__ == '__main__':
    main()

gauravkoradiya

"""https://www.codechef.com/LRNDSA01/problems/LAPIN"""

def LRNDSA01(ip,first_end,second_start,strlen):
     
    d = dict()
    for i in range(first_end):
        d[ip[i]] = d.get(ip[i],0)+1 
        
    for j in range(second_start,strlen):
        try:

gauravkoradiya

"""https://www.codechef.com/LRNDSA01/problems/FLOW007"""

def main():
    n=int(input())
    while(n!=0):
        print(int(input()[::-1]))
        n-=1

if __name__ == '__main__':

hmldd

# coding:utf-8

from elasticsearch import Elasticsearch
import json

# Define config
host = "127.0.0.1"
port = 9200
timeout = 1000
index = "index"

spro

import torch
from torch import nn
from torch.autograd import Variable
import torch.nn.functional as F

class RNN(nn.Module):
    def __init__(self, input_size, hidden_size, output_size, n_layers=1):
        super(RNN, self).__init__()
        self.input_size = input_size
        self.hidden_size = hidden_size