blob: 65e14eeed2a9f6e196fac570cf69973a76b08f71 [file] [log] [blame]
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// template<class InputIterator>
// discrete_distribution(InputIterator firstW, InputIterator lastW);
#include <random>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
double p0[] = {1};
D d(p0, p0);
std::vector<double> p = d.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
{
typedef std::discrete_distribution<> D;
double p0[] = {10};
D d(p0, p0+1);
std::vector<double> p = d.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
{
typedef std::discrete_distribution<> D;
double p0[] = {10, 30};
D d(p0, p0+2);
std::vector<double> p = d.probabilities();
assert(p.size() == 2);
assert(p[0] == 0.25);
assert(p[1] == 0.75);
}
{
typedef std::discrete_distribution<> D;
double p0[] = {30, 10};
D d(p0, p0+2);
std::vector<double> p = d.probabilities();
assert(p.size() == 2);
assert(p[0] == 0.75);
assert(p[1] == 0.25);
}
{
typedef std::discrete_distribution<> D;
double p0[] = {30, 0, 10};
D d(p0, p0+3);
std::vector<double> p = d.probabilities();
assert(p.size() == 3);
assert(p[0] == 0.75);
assert(p[1] == 0);
assert(p[2] == 0.25);
}
{
typedef std::discrete_distribution<> D;
double p0[] = {0, 30, 10};
D d(p0, p0+3);
std::vector<double> p = d.probabilities();
assert(p.size() == 3);
assert(p[0] == 0);
assert(p[1] == 0.75);
assert(p[2] == 0.25);
}
{
typedef std::discrete_distribution<> D;
double p0[] = {0, 0, 10};
D d(p0, p0+3);
std::vector<double> p = d.probabilities();
assert(p.size() == 3);
assert(p[0] == 0);
assert(p[1] == 0);
assert(p[2] == 1);
}
}