[rand.dist.samp.discrete]

git-svn-id: https://llvm.org/svn/llvm-project/libcxx/trunk@104103 91177308-0d34-0410-b5e6-96231b3b80d8
This commit is contained in:
Howard Hinnant
2010-05-19 01:53:57 +00:00
parent 76fdaa7c70
commit 551d8e4ddb
25 changed files with 1602 additions and 3 deletions

View File

@@ -0,0 +1,35 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// discrete_distribution& operator=(const discrete_distribution&);
#include <random>
#include <cassert>
void
test1()
{
typedef std::discrete_distribution<> D;
double p[] = {2, 4, 1, 8};
D d1(p, p+4);
D d2;
assert(d1 != d2);
d2 = d1;
assert(d1 == d2);
}
int main()
{
test1();
}

View File

@@ -0,0 +1,33 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// discrete_distribution(const discrete_distribution&);
#include <random>
#include <cassert>
void
test1()
{
typedef std::discrete_distribution<> D;
double p[] = {2, 4, 1, 8};
D d1(p, p+4);
D d2 = d1;
assert(d1 == d2);
}
int main()
{
test1();
}

View File

@@ -0,0 +1,29 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// discrete_distribution(initializer_list<double> wl);
#include <random>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
D d;
std::vector<double> p = d.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
}

View File

@@ -0,0 +1,60 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// template<class UnaryOperation>
// discrete_distribution(size_t nw, double xmin, double xmax,
// UnaryOperation fw);
#include <random>
#include <cassert>
double fw(double x)
{
return x+1;
}
int main()
{
{
typedef std::discrete_distribution<> D;
D d(0, 0, 1, fw);
std::vector<double> p = d.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
{
typedef std::discrete_distribution<> D;
D d(1, 0, 1, fw);
std::vector<double> p = d.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
{
typedef std::discrete_distribution<> D;
D d(2, 0.5, 1.5, fw);
std::vector<double> p = d.probabilities();
assert(p.size() == 2);
assert(p[0] == .4375);
assert(p[1] == .5625);
}
{
typedef std::discrete_distribution<> D;
D d(4, 0, 2, fw);
std::vector<double> p = d.probabilities();
assert(p.size() == 4);
assert(p[0] == .15625);
assert(p[1] == .21875);
assert(p[2] == .28125);
}
}

View File

@@ -0,0 +1,81 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// discrete_distribution(initializer_list<double> wl);
#include <random>
#include <cassert>
int main()
{
#ifdef _LIBCPP_MOVE
{
typedef std::discrete_distribution<> D;
D d = {};
std::vector<double> p = d.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
{
typedef std::discrete_distribution<> D;
D d = {10};
std::vector<double> p = d.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
{
typedef std::discrete_distribution<> D;
D d = {10, 30};
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;
D d = {30, 10};
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;
D d = {30, 0, 10};
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;
D d = {0, 30, 10};
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;
D d = {0, 0, 10};
std::vector<double> p = d.probabilities();
assert(p.size() == 3);
assert(p[0] == 0);
assert(p[1] == 0);
assert(p[2] == 1);
}
#endif
}

View File

@@ -0,0 +1,87 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. 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);
}
}

View File

@@ -0,0 +1,33 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// explicit discrete_distribution(const param_type& parm);
#include <random>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
double p0[] = {10, 30};
P pa(p0, p0+2);
D d(pa);
std::vector<double> p = d.probabilities();
assert(p.size() == 2);
assert(p[0] == 0.25);
assert(p[1] == 0.75);
}
}

View File

@@ -0,0 +1,45 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// bool operator=(const discrete_distribution& x,
// const discrete_distribution& y);
// bool operator!(const discrete_distribution& x,
// const discrete_distribution& y);
#include <random>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
D d1;
D d2;
assert(d1 == d2);
}
{
typedef std::discrete_distribution<> D;
double p0[] = {1};
D d1(p0, p0+1);
D d2;
assert(d1 == d2);
}
{
typedef std::discrete_distribution<> D;
double p0[] = {10, 30};
D d1(p0, p0+2);
D d2;
assert(d1 != d2);
}
}

View File

@@ -0,0 +1,277 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// template<class _URNG> result_type operator()(_URNG& g);
#include <random>
#include <vector>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
typedef std::minstd_rand G;
G g;
D d;
const int N = 100;
std::vector<D::result_type> u(d.max()+1);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u[v]++;
}
std::vector<double> prob = d.probabilities();
for (int i = 0; i <= d.max(); ++i)
assert((double)u[i]/N == prob[i]);
}
{
typedef std::discrete_distribution<> D;
typedef std::minstd_rand G;
G g;
double p0[] = {.3};
D d(p0, p0+1);
const int N = 100;
std::vector<D::result_type> u(d.max()+1);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u[v]++;
}
std::vector<double> prob = d.probabilities();
for (int i = 0; i <= d.max(); ++i)
assert((double)u[i]/N == prob[i]);
}
{
typedef std::discrete_distribution<> D;
typedef std::minstd_rand G;
G g;
double p0[] = {.75, .25};
D d(p0, p0+2);
const int N = 1000000;
std::vector<D::result_type> u(d.max()+1);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u[v]++;
}
std::vector<double> prob = d.probabilities();
for (int i = 0; i <= d.max(); ++i)
assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
}
{
typedef std::discrete_distribution<> D;
typedef std::minstd_rand G;
G g;
double p0[] = {0, 1};
D d(p0, p0+2);
const int N = 1000000;
std::vector<D::result_type> u(d.max()+1);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u[v]++;
}
std::vector<double> prob = d.probabilities();
assert((double)u[0]/N == prob[0]);
assert((double)u[1]/N == prob[1]);
}
{
typedef std::discrete_distribution<> D;
typedef std::minstd_rand G;
G g;
double p0[] = {1, 0};
D d(p0, p0+2);
const int N = 1000000;
std::vector<D::result_type> u(d.max()+1);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u[v]++;
}
std::vector<double> prob = d.probabilities();
assert((double)u[0]/N == prob[0]);
assert((double)u[1]/N == prob[1]);
}
{
typedef std::discrete_distribution<> D;
typedef std::minstd_rand G;
G g;
double p0[] = {.3, .1, .6};
D d(p0, p0+3);
const int N = 10000000;
std::vector<D::result_type> u(d.max()+1);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u[v]++;
}
std::vector<double> prob = d.probabilities();
for (int i = 0; i <= d.max(); ++i)
assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
}
{
typedef std::discrete_distribution<> D;
typedef std::minstd_rand G;
G g;
double p0[] = {0, 25, 75};
D d(p0, p0+3);
const int N = 1000000;
std::vector<D::result_type> u(d.max()+1);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u[v]++;
}
std::vector<double> prob = d.probabilities();
for (int i = 0; i <= d.max(); ++i)
if (prob[i] != 0)
assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
else
assert(u[i] == 0);
}
{
typedef std::discrete_distribution<> D;
typedef std::minstd_rand G;
G g;
double p0[] = {25, 0, 75};
D d(p0, p0+3);
const int N = 1000000;
std::vector<D::result_type> u(d.max()+1);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u[v]++;
}
std::vector<double> prob = d.probabilities();
for (int i = 0; i <= d.max(); ++i)
if (prob[i] != 0)
assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
else
assert(u[i] == 0);
}
{
typedef std::discrete_distribution<> D;
typedef std::minstd_rand G;
G g;
double p0[] = {25, 75, 0};
D d(p0, p0+3);
const int N = 1000000;
std::vector<D::result_type> u(d.max()+1);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u[v]++;
}
std::vector<double> prob = d.probabilities();
for (int i = 0; i <= d.max(); ++i)
if (prob[i] != 0)
assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
else
assert(u[i] == 0);
}
{
typedef std::discrete_distribution<> D;
typedef std::minstd_rand G;
G g;
double p0[] = {0, 0, 1};
D d(p0, p0+3);
const int N = 100;
std::vector<D::result_type> u(d.max()+1);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u[v]++;
}
std::vector<double> prob = d.probabilities();
for (int i = 0; i <= d.max(); ++i)
if (prob[i] != 0)
assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
else
assert(u[i] == 0);
}
{
typedef std::discrete_distribution<> D;
typedef std::minstd_rand G;
G g;
double p0[] = {0, 1, 0};
D d(p0, p0+3);
const int N = 100;
std::vector<D::result_type> u(d.max()+1);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u[v]++;
}
std::vector<double> prob = d.probabilities();
for (int i = 0; i <= d.max(); ++i)
if (prob[i] != 0)
assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
else
assert(u[i] == 0);
}
{
typedef std::discrete_distribution<> D;
typedef std::minstd_rand G;
G g;
double p0[] = {1, 0, 0};
D d(p0, p0+3);
const int N = 100;
std::vector<D::result_type> u(d.max()+1);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u[v]++;
}
std::vector<double> prob = d.probabilities();
for (int i = 0; i <= d.max(); ++i)
if (prob[i] != 0)
assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
else
assert(u[i] == 0);
}
{
typedef std::discrete_distribution<> D;
typedef std::minstd_rand G;
G g;
double p0[] = {33, 0, 0, 67};
D d(p0, p0+3);
const int N = 1000000;
std::vector<D::result_type> u(d.max()+1);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u[v]++;
}
std::vector<double> prob = d.probabilities();
for (int i = 0; i <= d.max(); ++i)
if (prob[i] != 0)
assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
else
assert(u[i] == 0);
}
}

View File

@@ -0,0 +1,43 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// template<class _URNG> result_type operator()(_URNG& g, const param_type& parm);
#include <random>
#include <vector>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
typedef std::minstd_rand G;
G g;
D d;
double p0[] = {.3, .1, .6};
P p(p0, p0+3);
const int N = 10000000;
std::vector<D::result_type> u(3);
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g, p);
assert(0 <= v && v <= 2);
u[v]++;
}
std::vector<double> prob = p.probabilities();
for (int i = 0; i <= 2; ++i)
assert(std::abs((double)u[i]/N - prob[i]) / prob[i] < 0.001);
}
}

View File

@@ -0,0 +1,30 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// param_type param() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
double p0[] = {.3, .1, .6};
P p(p0, p0+3);
D d(p);
assert(d.param() == p);
}
}

View File

@@ -0,0 +1,42 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// template <class charT, class traits>
// basic_ostream<charT, traits>&
// operator<<(basic_ostream<charT, traits>& os,
// const discrete_distribution& x);
//
// template <class charT, class traits>
// basic_istream<charT, traits>&
// operator>>(basic_istream<charT, traits>& is,
// discrete_distribution& x);
#include <random>
#include <sstream>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
double p0[] = {.3, .1, .6};
D d1(p0, p0+3);
std::ostringstream os;
os << d1;
std::istringstream is(os.str());
D d2;
is >> d2;
assert(d1 == d2);
}
}

View File

@@ -0,0 +1,34 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// result_type max() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
double p0[] = {.3, .1, .6};
D d(p0, p0+3);
assert(d.max() == 2);
}
{
typedef std::discrete_distribution<> D;
double p0[] = {.3, .1, .6, .2};
D d(p0, p0+4);
assert(d.max() == 3);
}
}

View File

@@ -0,0 +1,28 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// result_type min() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
double p0[] = {.3, .1, .6};
D d(p0, p0+3);
assert(d.min() == 0);
}
}

View File

@@ -0,0 +1,32 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
typedef D::param_type param_type;
double d0[] = {.3, .1, .6};
param_type p0(d0, d0+3);
param_type p;
p = p0;
assert(p == p0);
}
}

View File

@@ -0,0 +1,31 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
typedef D::param_type param_type;
double d0[] = {.3, .1, .6};
param_type p0(d0, d0+3);
param_type p = p0;
assert(p == p0);
}
}

View File

@@ -0,0 +1,30 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// param_type(initializer_list<double> wl);
#include <random>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
P pa;
std::vector<double> p = pa.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
}

View File

@@ -0,0 +1,64 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// template<class UnaryOperation>
// param_type(size_t nw, double xmin, double xmax,
// UnaryOperation fw);
#include <random>
#include <cassert>
double fw(double x)
{
return x+1;
}
int main()
{
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
P pa(0, 0, 1, fw);
std::vector<double> p = pa.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
P pa(1, 0, 1, fw);
std::vector<double> p = pa.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
P pa(2, 0.5, 1.5, fw);
std::vector<double> p = pa.probabilities();
assert(p.size() == 2);
assert(p[0] == .4375);
assert(p[1] == .5625);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
P pa(4, 0, 2, fw);
std::vector<double> p = pa.probabilities();
assert(p.size() == 4);
assert(p[0] == .15625);
assert(p[1] == .21875);
assert(p[2] == .28125);
}
}

View File

@@ -0,0 +1,88 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// param_type(initializer_list<double> wl);
#include <random>
#include <cassert>
int main()
{
#ifdef _LIBCPP_MOVE
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
P pa = {};
std::vector<double> p = pa.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
P pa = {10};
std::vector<double> p = pa.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
P pa = {10, 30};
std::vector<double> p = pa.probabilities();
assert(p.size() == 2);
assert(p[0] == 0.25);
assert(p[1] == 0.75);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
P pa = {30, 10};
std::vector<double> p = pa.probabilities();
assert(p.size() == 2);
assert(p[0] == 0.75);
assert(p[1] == 0.25);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
P pa = {30, 0, 10};
std::vector<double> p = pa.probabilities();
assert(p.size() == 3);
assert(p[0] == 0.75);
assert(p[1] == 0);
assert(p[2] == 0.25);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
P pa = {0, 30, 10};
std::vector<double> p = pa.probabilities();
assert(p.size() == 3);
assert(p[0] == 0);
assert(p[1] == 0.75);
assert(p[2] == 0.25);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
P pa = {0, 0, 10};
std::vector<double> p = pa.probabilities();
assert(p.size() == 3);
assert(p[0] == 0);
assert(p[1] == 0);
assert(p[2] == 1);
}
#endif
}

View File

@@ -0,0 +1,94 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// template<class InputIterator>
// param_type(InputIterator firstW, InputIterator lastW);
#include <random>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
double p0[] = {1};
P pa(p0, p0);
std::vector<double> p = pa.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
double p0[] = {10};
P pa(p0, p0+1);
std::vector<double> p = pa.probabilities();
assert(p.size() == 1);
assert(p[0] == 1);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
double p0[] = {10, 30};
P pa(p0, p0+2);
std::vector<double> p = pa.probabilities();
assert(p.size() == 2);
assert(p[0] == 0.25);
assert(p[1] == 0.75);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
double p0[] = {30, 10};
P pa(p0, p0+2);
std::vector<double> p = pa.probabilities();
assert(p.size() == 2);
assert(p[0] == 0.75);
assert(p[1] == 0.25);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
double p0[] = {30, 0, 10};
P pa(p0, p0+3);
std::vector<double> p = pa.probabilities();
assert(p.size() == 3);
assert(p[0] == 0.75);
assert(p[1] == 0);
assert(p[2] == 0.25);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
double p0[] = {0, 30, 10};
P pa(p0, p0+3);
std::vector<double> p = pa.probabilities();
assert(p.size() == 3);
assert(p[0] == 0);
assert(p[1] == 0.75);
assert(p[2] == 0.25);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
double p0[] = {0, 0, 10};
P pa(p0, p0+3);
std::vector<double> p = pa.probabilities();
assert(p.size() == 3);
assert(p[0] == 0);
assert(p[1] == 0);
assert(p[2] == 1);
}
}

View File

@@ -0,0 +1,39 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
typedef D::param_type param_type;
double p0[] = {30, 10};
param_type p1(p0, p0+2);
param_type p2(p0, p0+2);
assert(p1 == p2);
}
{
typedef std::discrete_distribution<> D;
typedef D::param_type param_type;
double p0[] = {30, 10};
param_type p1(p0, p0+2);
param_type p2;
assert(p1 != p2);
}
}

View File

@@ -0,0 +1,28 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// {
// class param_type;
#include <random>
#include <type_traits>
int main()
{
{
typedef std::discrete_distribution<> D;
typedef D::param_type param_type;
typedef param_type::distribution_type distribution_type;
static_assert((std::is_same<D, distribution_type>::value), "");
}
}

View File

@@ -0,0 +1,31 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// void param(const param_type& parm);
#include <random>
#include <cassert>
int main()
{
{
typedef std::discrete_distribution<> D;
typedef D::param_type P;
double d0[] = {.3, .1, .6};
P p(d0, d0+3);
D d;
d.param(p);
assert(d.param() == p);
}
}

View File

@@ -0,0 +1,32 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class IntType = int>
// class discrete_distribution
// {
// typedef bool result_type;
#include <random>
#include <type_traits>
int main()
{
{
typedef std::discrete_distribution<> D;
typedef D::result_type result_type;
static_assert((std::is_same<result_type, int>::value), "");
}
{
typedef std::discrete_distribution<long> D;
typedef D::result_type result_type;
static_assert((std::is_same<result_type, long>::value), "");
}
}