blob: d9bf0880258d1a8db81046f89489d4b56abcd5b8 [file] [log] [blame]
//===----------------------------------------------------------------------===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
// UNSUPPORTED: c++98, c++03
// <random>
// template<class RealType = double>
// class piecewise_linear_distribution
// param_type(initializer_list<result_type> bl, UnaryOperation fw);
#include <random>
#include <cassert>
#include "test_macros.h"
double f(double x)
{
return x*2;
}
int main(int, char**)
{
{
typedef std::piecewise_linear_distribution<> D;
typedef D::param_type P;
P pa({}, f);
std::vector<double> iv = pa.intervals();
assert(iv.size() == 2);
assert(iv[0] == 0);
assert(iv[1] == 1);
std::vector<double> dn = pa.densities();
assert(dn.size() == 2);
assert(dn[0] == 1);
assert(dn[1] == 1);
}
{
typedef std::piecewise_linear_distribution<> D;
typedef D::param_type P;
P pa({12}, f);
std::vector<double> iv = pa.intervals();
assert(iv.size() == 2);
assert(iv[0] == 0);
assert(iv[1] == 1);
std::vector<double> dn = pa.densities();
assert(dn.size() == 2);
assert(dn[0] == 1);
assert(dn[1] == 1);
}
{
typedef std::piecewise_linear_distribution<> D;
typedef D::param_type P;
P pa({10, 12}, f);
std::vector<double> iv = pa.intervals();
assert(iv.size() == 2);
assert(iv[0] == 10);
assert(iv[1] == 12);
std::vector<double> dn = pa.densities();
assert(dn.size() == 2);
assert(dn[0] == 20./44);
assert(dn[1] == 24./44);
}
{
typedef std::piecewise_linear_distribution<> D;
typedef D::param_type P;
P pa({6, 10, 14}, f);
std::vector<double> iv = pa.intervals();
assert(iv.size() == 3);
assert(iv[0] == 6);
assert(iv[1] == 10);
assert(iv[2] == 14);
std::vector<double> dn = pa.densities();
assert(dn.size() == 3);
assert(dn[0] == 0.075);
assert(dn[1] == 0.125);
assert(dn[2] == 0.175);
}
return 0;
}