TestData::TestData() {
numelem = 1000;
weight.resize(numelem, 0);
value.resize(numelem, 0);
sum = 0;
unsigned seed = std::chrono::system_clock::now().time_since_epoch().count();
mt19937_64 generator(seed);
for (int i = 0; i < numelem; i++) {
weight[i] = generator()%numelem + 1;
sum += weight[i];
value[i] = weight[i] + 50;
}
capacity = sum / 2;
//picked this interval without any underlying criteria
// unifdist(0,1000);
default_random_engine random_engine;
uniform_int_distribution<int> unifdist(1,numelem);
for (int i = 0; i < numelem; i++) {
weight[i] = unifdist(random_engine);
sum += weight[i];
value[i] = weight[i] + 50;
}
capacity = sum / 2;
}
int main()
{
// std::default_random_engine generator;
std::mt19937 generator;
std::uniform_int_distribution<int> distribution(1,6);
std::normal_distribution<double> normdist(0.0, 1.0);
std::uniform_real_distribution<double> unifdist(0.0, 1.0);
// Bind the generator to the first argument of distribution so that
// we can call with rng() instead of dist(gen).
auto rng = std::bind( unifdist, generator );
for( int i=0; i<25; ++i ) {
std::cout << rng() << " ";
}
std::cout << std::endl;
// Now create a random matrix
std::valarray<double> v(100);
for (int i=0; i < v.size(); i++ ) {
v[i] = rng();
}
return 0;
}
TestData::TestData(int numel, bool verbose) {
numelem = numel;
weight.resize(numelem, 0);
value.resize(numelem, 0);
sum = 0;
default_random_engine random_engine;
uniform_int_distribution<int> unifdist(1,numelem);
for (int i = 0; i < numelem; i++) {
weight[i] = rand()%numelem + 1;//unifdist(random_engine);
sum += weight[i];
value[i] = weight[i]+rand()%numelem + 1; //+ 50;
if(verbose)
cout << i << "weight: " << weight[i] << "\t" << "value: " << value[i] << endl;
}
capacity = sum / 2;
if(verbose)
cout << "Capacity: " << capacity << endl;
}
result sim( std::function<int(double,double)> const& f, len_t N) {
// Bind the generator to the first argument of distribution so that
// we can call with rng() instead of dist(gen).
// auto rng = std::bind( unifdist, generator );
len_t sum = 0;
for( len_t i=0; i<N; ++i) {
double x = unifdist(generator);
double y = unifdist(generator);
sum += f(x,y);
}
result res;
res.Mean = (1.0*sum)/N;
res.StDev = sqrt( res.Mean*(1.0 - res.Mean) );
res.Total = sum;
res.PointCount = N;
return res;
};
