mirror of https://github.com/OpenMW/openmw.git
You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
85 lines
1.9 KiB
C++
85 lines
1.9 KiB
C++
#include "rng.hpp"
|
|
|
|
#include <chrono>
|
|
#include <random>
|
|
#include <sstream>
|
|
|
|
namespace Misc::Rng
|
|
{
|
|
static Generator sGenerator;
|
|
|
|
Generator& getGenerator()
|
|
{
|
|
return sGenerator;
|
|
}
|
|
|
|
std::string serialize(const Generator& prng)
|
|
{
|
|
std::stringstream ss;
|
|
ss << prng;
|
|
|
|
return ss.str();
|
|
}
|
|
|
|
void deserialize(std::string_view data, Generator& prng)
|
|
{
|
|
std::stringstream ss;
|
|
ss << data;
|
|
|
|
ss.seekg(0);
|
|
ss >> prng;
|
|
}
|
|
|
|
unsigned int generateDefaultSeed()
|
|
{
|
|
auto res = static_cast<unsigned int>(std::chrono::high_resolution_clock::now().time_since_epoch().count());
|
|
return res;
|
|
}
|
|
|
|
void init(unsigned int seed)
|
|
{
|
|
sGenerator.seed(seed);
|
|
}
|
|
|
|
float rollProbability()
|
|
{
|
|
return std::uniform_real_distribution<float>(0, 1 - std::numeric_limits<float>::epsilon())(getGenerator());
|
|
}
|
|
|
|
float rollProbability(Generator& prng)
|
|
{
|
|
return std::uniform_real_distribution<float>(0, 1 - std::numeric_limits<float>::epsilon())(prng);
|
|
}
|
|
|
|
float rollClosedProbability()
|
|
{
|
|
return std::uniform_real_distribution<float>(0, 1)(getGenerator());
|
|
}
|
|
|
|
float rollClosedProbability(Generator& prng)
|
|
{
|
|
return std::uniform_real_distribution<float>(0, 1)(prng);
|
|
}
|
|
|
|
int rollDice(int max)
|
|
{
|
|
return max > 0 ? std::uniform_int_distribution<int>(0, max - 1)(getGenerator()) : 0;
|
|
}
|
|
|
|
int rollDice(int max, Generator& prng)
|
|
{
|
|
return max > 0 ? std::uniform_int_distribution<int>(0, max - 1)(prng) : 0;
|
|
}
|
|
|
|
float deviate(float mean, float deviation)
|
|
{
|
|
return std::uniform_real_distribution<float>(mean - deviation, mean + deviation)(getGenerator());
|
|
}
|
|
|
|
float deviate(float mean, float deviation, Generator& prng)
|
|
{
|
|
return std::uniform_real_distribution<float>(mean - deviation, mean + deviation)(prng);
|
|
}
|
|
|
|
}
|