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);
}
