void llama::RandomData::generateRandomData<int>(std::vector<int> *targetVector, int count) { int intMin = std::numeric_limits<int>::min()+1; int intMax = std::numeric_limits<int>::max()-1; std::random_device intRandomDevice; std::mt19937 intRandomEngine(intRandomDevice()); std::uniform_int_distribution<int> uniformIntDistribution(intMin, intMax); for (int i = 0; i < count; i++) { targetVector->push_back(uniformIntDistribution(intRandomEngine)); } }
// ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ std::vector<int> GenerateVectorOfUnsortedIntegersWithinRange(const int kiStartOfRange, const int kiEndOfRange, const size_t kuSizeOfVector) { std::random_device randomDeviceGenerator; std::mt19937 mersenneTwisterGenerator(randomDeviceGenerator()); std::uniform_int_distribution<int> uniformIntDistribution(kiStartOfRange, kiEndOfRange); std::vector<int> aVectorOfIntegers(kuSizeOfVector); for (size_t uIndex = 0; uIndex < kuSizeOfVector; uIndex++) aVectorOfIntegers[uIndex] = uniformIntDistribution(mersenneTwisterGenerator); return aVectorOfIntegers; }
int RndNum::getIntMt(const int min, const int max) { return uniformIntDistribution(min, max); }