mtrencseni

#include <asio.hpp>
#include <iostream>
#include <unordered_map>
#include <vector>
#include <deque>
#include <string>
#include "json.hpp"

using asio::ip::tcp;
using json = nlohmann::json;

mtrencseni

#include <iostream>
#include <string>
#include <asio.hpp>
#include <asio/io_context.hpp>
#include <signal.h>
#include "Utils.hpp"
#include "MessageQueue.hpp"

using asio::awaitable;
using asio::co_spawn;

mtrencseni

#ifndef __MESSAGEQUEUE_HPP__
#define __MESSAGEQUEUE_HPP__

#include <string>
#include <unordered_map>
#include <unordered_set>
#include <deque>
#include <asio.hpp>
#include "Utils.hpp"

mtrencseni

#ifndef __UTILS_HPP__
#define __UTILS_HPP__

#include <map>
#include <regex>
#include <sstream>
#include <vector>
#include <string>
#include <algorithm>
#include <functional>

mtrencseni

#include <map>
#include <regex>
#include <iostream>
#include <sstream>
#include <vector>
#include <string>
#include <unordered_map>
#include <unordered_set>
#include <algorithm>
#include <cctype>

mtrencseni

#include <iostream>
#include <string>
#include <asio.hpp>
#include <asio/io_context.hpp>

using asio::awaitable;
using asio::co_spawn;
using asio::detached;
using asio::ip::tcp;
using asio::use_awaitable;

mtrencseni

 __  __     ___           ___  
|  \/  |   |_ _|         | _ ) 
| |\/| |    | |          | _ \ 
|_|  |_|ore|___|ncredible|___/ash - V3.3.3 "Bentley Edition - BYG24"
______________________________________________________________________

NOT FOR COMMERCIAL USE - IF YOU BOUGHT THIS YOU GOT RIPPED OFF

Logging_MU1452-MHI2_ER_POG11_P5176-JTB-07403.01.20119200BE:
HW Number: 055 - PN: 9P1035041R

mtrencseni

from time import time
from random import random
from statistics import mean, stdev

def coin_flip(bias=0.5):
    if random() < bias:
        return 1
    else:
        return 0

mtrencseni

# regex pattern: [\w.%+-]+@[\w.-]+\.[a-zA-Z]{2,6}

# equivalent rxe code:
username = rxe.one_or_more(rxe.set([rxe.alphanumeric(), '.', '%', '+', '-']))
domain = (rxe
	.one_or_more(rxe.set([rxe.alphanumeric(), '.', '-']))
	.literal('.')
	.at_least_at_most(2, 6, rxe.set([rxe.range('a', 'z'), rxe.range('A', 'Z')]))
)
email = (rxe

mtrencseni

torch.set_default_tensor_type('torch.cuda.FloatTensor')