I need to generate random Boolean values on a performance-critical path.
The code which I wrote for this is
std::random_device rd;
std::uniform_int_distribution<> randomizer(0, 1);
const int val randomizer(std::mt19937(rd()));
const bool isDirectionChanged = static_cast<bool>(val);
But do not think that this is the best way to do this as I do not like doing static_cast<bool>
.
On the web I have found a few more solutions
1. std::bernoulli_distribution
2. bool randbool = rand() & 1;
Remember to call srand()
at the beginning.
For the purpose of performance, at a price of less "randomness" than e.g. std::mt19937_64
, you can use Xorshift+ to generate 64-bit numbers and then use the bits of those numbers as pseudo-random booleans.
Quoting the Wikipedia:
This generator is one of the fastest generators passing BigCrush
Details: http://xorshift.di.unimi.it/ . There is a comparison table in the middle of the page, showing that mt19937_64
is 2 times slower and is systematic.
Below is sample code (the real code should wrap it in a class):
#include <cstdint>
#include <random>
using namespace std;
random_device rd;
/* The state must be seeded so that it is not everywhere zero. */
uint64_t s[2] = { (uint64_t(rd()) << 32) ^ (rd()),
(uint64_t(rd()) << 32) ^ (rd()) };
uint64_t curRand;
uint8_t bit = 63;
uint64_t xorshift128plus(void) {
uint64_t x = s[0];
uint64_t const y = s[1];
s[0] = y;
x ^= x << 23; // a
s[1] = x ^ y ^ (x >> 17) ^ (y >> 26); // b, c
return s[1] + y;
}
bool randBool()
{
if(bit >= 63)
{
curRand = xorshift128plus();
bit = 0;
return curRand & 1;
}
else
{
bit++;
return curRand & (1<<bit);
}
}
Some quick benchmarks (code):
647921509 RandomizerXorshiftPlus
821202158 BoolGenerator2 (reusing the same buffer)
1065582517 modified Randomizer
1130958451 BoolGenerator2 (creating a new buffer as needed)
1140139042 xorshift128plus
2738780431 xorshift1024star
4629217068 std::mt19937
6613608092 rand()
8606805191 std::bernoulli_distribution
11454538279 BoolGenerator
19288820587 std::uniform_int_distribution
For those who want ready-to-use code, I present XorShift128PlusBitShifterPseudoRandomBooleanGenerator
, a tweaked version of RandomizerXorshiftPlus
from the above link. On my machine, it is about as fast as @SergeRogatch's solution, but consistently about 10-20% faster when the loop count is high (≳100,000), and up to ~30% slower with smaller loop counts.
class XorShift128PlusBitShifterPseudoRandomBooleanGenerator {
public:
bool randBool() {
if (counter == 0) {
counter = sizeof(GeneratorType::result_type) * CHAR_BIT;
random_integer = generator();
}
return (random_integer >> --counter) & 1;
}
private:
class XorShift128Plus {
public:
using result_type = uint64_t;
XorShift128Plus() {
std::random_device rd;
state[0] = rd();
state[1] = rd();
}
result_type operator()() {
auto x = state[0];
auto y = state[1];
state[0] = y;
x ^= x << 23;
state[1] = x ^ y ^ (x >> 17) ^ (y >> 26);
return state[1] + y;
}
private:
result_type state[2];
};
using GeneratorType = XorShift128Plus;
GeneratorType generator;
GeneratorType::result_type random_integer;
int counter = 0;
};
A way would be to just generate a unsigned long long
for every 64 random calls as stated in the comments. An example:
#include <random>
class Randomizer
{
public:
Randomizer() : m_rand(0), counter(0), randomizer(0, std::numeric_limits<unsigned long long>::max()) {}
bool RandomBool()
{
if (!counter)
{
m_rand = randomizer(std::mt19937(rd()));
counter = sizeof(unsigned long long) * 8;
}
return (m_rand >> --counter) & 1;
}
private:
std::random_device rd;
std::uniform_int_distribution<unsigned long long> randomizer;
unsigned long long m_rand;
int counter;
};
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