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//===----------------------------------------------------------------------===//
//
// 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
//
//===----------------------------------------------------------------------===//
// <random>
// template<class RealType = double>
// class piecewise_linear_distribution
// template<class UnaryOperation>
// piecewise_linear_distribution(size_t nw, result_type xmin,
// result_type xmax, UnaryOperation fw);
#include <random>
#include <cassert>
#include <vector>
#include "test_macros.h"
double fw(double x)
{
return 2*x;
}
int main(int, char**)
{
{
typedef std::piecewise_linear_distribution<> D;
D d(0, 0, 1, fw);
std::vector<double> iv = d.intervals();
assert(iv.size() == 2);
assert(iv[0] == 0);
assert(iv[1] == 1);
std::vector<double> dn = d.densities();
assert(dn.size() == 2);
assert(dn[0] == 0);
assert(dn[1] == 2);
}
{
typedef std::piecewise_linear_distribution<> D;
D d(1, 10, 12, fw);
std::vector<double> iv = d.intervals();
assert(iv.size() == 2);
assert(iv[0] == 10);
assert(iv[1] == 12);
std::vector<double> dn = d.densities();
assert(dn.size() == 2);
assert(dn[0] == 20./44);
assert(dn[1] == 24./44);
}
{
typedef std::piecewise_linear_distribution<> D;
D d(2, 6, 14, fw);
std::vector<double> iv = d.intervals();
assert(iv.size() == 3);
assert(iv[0] == 6);
assert(iv[1] == 10);
assert(iv[2] == 14);
std::vector<double> dn = d.densities();
assert(dn.size() == 3);
assert(dn[0] == 0.075);
assert(dn[1] == 0.125);
assert(dn[2] == 0.175);
}
return 0;
}
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