1 //===----------------------------------------------------------------------===// 2 // 3 // The LLVM Compiler Infrastructure 4 // 5 // This file is dual licensed under the MIT and the University of Illinois Open 6 // Source Licenses. See LICENSE.TXT for details. 7 // 8 //===----------------------------------------------------------------------===// 9 10 // UNSUPPORTED: c++98, c++03 11 12 // <random> 13 14 // template<class RealType = double> 15 // class piecewise_linear_distribution 16 17 // param_type(initializer_list<result_type> bl, UnaryOperation fw); 18 19 #include <random> 20 #include <cassert> 21 22 double f(double x) 23 { 24 return x*2; 25 } 26 27 int main() 28 { 29 { 30 typedef std::piecewise_linear_distribution<> D; 31 typedef D::param_type P; 32 P pa({}, f); 33 std::vector<double> iv = pa.intervals(); 34 assert(iv.size() == 2); 35 assert(iv[0] == 0); 36 assert(iv[1] == 1); 37 std::vector<double> dn = pa.densities(); 38 assert(dn.size() == 2); 39 assert(dn[0] == 1); 40 assert(dn[1] == 1); 41 } 42 { 43 typedef std::piecewise_linear_distribution<> D; 44 typedef D::param_type P; 45 P pa({12}, f); 46 std::vector<double> iv = pa.intervals(); 47 assert(iv.size() == 2); 48 assert(iv[0] == 0); 49 assert(iv[1] == 1); 50 std::vector<double> dn = pa.densities(); 51 assert(dn.size() == 2); 52 assert(dn[0] == 1); 53 assert(dn[1] == 1); 54 } 55 { 56 typedef std::piecewise_linear_distribution<> D; 57 typedef D::param_type P; 58 P pa({10, 12}, f); 59 std::vector<double> iv = pa.intervals(); 60 assert(iv.size() == 2); 61 assert(iv[0] == 10); 62 assert(iv[1] == 12); 63 std::vector<double> dn = pa.densities(); 64 assert(dn.size() == 2); 65 assert(dn[0] == 20./44); 66 assert(dn[1] == 24./44); 67 } 68 { 69 typedef std::piecewise_linear_distribution<> D; 70 typedef D::param_type P; 71 P pa({6, 10, 14}, f); 72 std::vector<double> iv = pa.intervals(); 73 assert(iv.size() == 3); 74 assert(iv[0] == 6); 75 assert(iv[1] == 10); 76 assert(iv[2] == 14); 77 std::vector<double> dn = pa.densities(); 78 assert(dn.size() == 3); 79 assert(dn[0] == 0.075); 80 assert(dn[1] == 0.125); 81 assert(dn[2] == 0.175); 82 } 83 } 84
