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git-svn-id: https://llvm.org/svn/llvm-project/libcxx/trunk@103937 91177308-0d34-0410-b5e6-96231b3b80d8
This commit is contained in:
Howard Hinnant
2010-05-17 13:44:27 +00:00
parent f2fe5d5a61
commit 34e8a57b76
19 changed files with 1078 additions and 1 deletions
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34
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/assign.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// geometric_distribution& operator=(const geometric_distribution&);
#include <random>
#include <cassert>
void
test1()
{
typedef std::geometric_distribution<> D;
D d1(0.75);
D d2;
assert(d1 != d2);
d2 = d1;
assert(d1 == d2);
}
int main()
{
test1();
}

32
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/copy.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// geometric_distribution(const geometric_distribution&);
#include <random>
#include <cassert>
void
test1()
{
typedef std::geometric_distribution<> D;
D d1(0.75);
D d2 = d1;
assert(d1 == d2);
}
int main()
{
test1();
}

32
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/ctor_double.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// explicit geometric_distribution(double p = 0.5);
#include <random>
#include <cassert>
int main()
{
{
typedef std::geometric_distribution<> D;
D d;
assert(d.p() == 0.5);
}
{
typedef std::geometric_distribution<> D;
D d(0.75);
assert(d.p() == 0.75);
}
}

29
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/ctor_param.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// explicit geometric_distribution(const param_type& parm);
#include <random>
#include <cassert>
int main()
{
{
typedef std::geometric_distribution<> D;
typedef D::param_type P;
P p(0.25);
D d(p);
assert(d.p() == 0.25);
}
}

37
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/eq.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// bool operator=(const geometric_distribution& x,
// const geometric_distribution& y);
// bool operator!(const geometric_distribution& x,
// const geometric_distribution& y);
#include <random>
#include <cassert>
int main()
{
{
typedef std::geometric_distribution<> D;
D d1(.25);
D d2(.25);
assert(d1 == d2);
}
{
typedef std::geometric_distribution<> D;
D d1(.28);
D d2(.25);
assert(d1 != d2);
}
}

272
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/eval.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// template<class _URNG> result_type operator()(_URNG& g);
#include <random>
#include <numeric>
#include <vector>
#include <cassert>
template <class T>
inline
T
sqr(T x)
{
return x * x;
}
int main()
{
{
typedef std::geometric_distribution<> D;
typedef std::mt19937 G;
G g;
D d(.03125);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(),
double(0)) / u.size();
double var = 0;
double skew = 0;
double kurtosis = 0;
for (int i = 0; i < u.size(); ++i)
{
double d = (u[i] - mean);
double d2 = sqr(d);
var += d2;
skew += d * d2;
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
skew /= u.size() * dev * var;
kurtosis /= u.size() * var * var;
kurtosis -= 3;
double x_mean = (1 - d.p()) / d.p();
double x_var = x_mean / d.p();
double x_skew = (2 - d.p()) / std::sqrt((1 - d.p()));
double x_kurtosis = 6 + sqr(d.p()) / (1 - d.p());
assert(std::abs(mean - x_mean) / x_mean < 0.01);
assert(std::abs(var - x_var) / x_var < 0.01);
assert(std::abs(skew - x_skew) / x_skew < 0.01);
assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.01);
}
{
typedef std::geometric_distribution<> D;
typedef std::mt19937 G;
G g;
D d(0.05);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(),
double(0)) / u.size();
double var = 0;
double skew = 0;
double kurtosis = 0;
for (int i = 0; i < u.size(); ++i)
{
double d = (u[i] - mean);
double d2 = sqr(d);
var += d2;
skew += d * d2;
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
skew /= u.size() * dev * var;
kurtosis /= u.size() * var * var;
kurtosis -= 3;
double x_mean = (1 - d.p()) / d.p();
double x_var = x_mean / d.p();
double x_skew = (2 - d.p()) / std::sqrt((1 - d.p()));
double x_kurtosis = 6 + sqr(d.p()) / (1 - d.p());
assert(std::abs(mean - x_mean) / x_mean < 0.01);
assert(std::abs(var - x_var) / x_var < 0.01);
assert(std::abs(skew - x_skew) / x_skew < 0.01);
assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.02);
}
{
typedef std::geometric_distribution<> D;
typedef std::minstd_rand G;
G g;
D d(.25);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(),
double(0)) / u.size();
double var = 0;
double skew = 0;
double kurtosis = 0;
for (int i = 0; i < u.size(); ++i)
{
double d = (u[i] - mean);
double d2 = sqr(d);
var += d2;
skew += d * d2;
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
skew /= u.size() * dev * var;
kurtosis /= u.size() * var * var;
kurtosis -= 3;
double x_mean = (1 - d.p()) / d.p();
double x_var = x_mean / d.p();
double x_skew = (2 - d.p()) / std::sqrt((1 - d.p()));
double x_kurtosis = 6 + sqr(d.p()) / (1 - d.p());
assert(std::abs(mean - x_mean) / x_mean < 0.01);
assert(std::abs(var - x_var) / x_var < 0.01);
assert(std::abs(skew - x_skew) / x_skew < 0.01);
assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.02);
}
{
typedef std::geometric_distribution<> D;
typedef std::mt19937 G;
G g;
D d(0.5);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(),
double(0)) / u.size();
double var = 0;
double skew = 0;
double kurtosis = 0;
for (int i = 0; i < u.size(); ++i)
{
double d = (u[i] - mean);
double d2 = sqr(d);
var += d2;
skew += d * d2;
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
skew /= u.size() * dev * var;
kurtosis /= u.size() * var * var;
kurtosis -= 3;
double x_mean = (1 - d.p()) / d.p();
double x_var = x_mean / d.p();
double x_skew = (2 - d.p()) / std::sqrt((1 - d.p()));
double x_kurtosis = 6 + sqr(d.p()) / (1 - d.p());
assert(std::abs(mean - x_mean) / x_mean < 0.01);
assert(std::abs(var - x_var) / x_var < 0.01);
assert(std::abs(skew - x_skew) / x_skew < 0.01);
assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.01);
}
{
typedef std::geometric_distribution<> D;
typedef std::mt19937 G;
G g;
D d(0.75);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(),
double(0)) / u.size();
double var = 0;
double skew = 0;
double kurtosis = 0;
for (int i = 0; i < u.size(); ++i)
{
double d = (u[i] - mean);
double d2 = sqr(d);
var += d2;
skew += d * d2;
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
skew /= u.size() * dev * var;
kurtosis /= u.size() * var * var;
kurtosis -= 3;
double x_mean = (1 - d.p()) / d.p();
double x_var = x_mean / d.p();
double x_skew = (2 - d.p()) / std::sqrt((1 - d.p()));
double x_kurtosis = 6 + sqr(d.p()) / (1 - d.p());
assert(std::abs(mean - x_mean) / x_mean < 0.01);
assert(std::abs(var - x_var) / x_var < 0.01);
assert(std::abs(skew - x_skew) / x_skew < 0.01);
assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.02);
}
{
typedef std::geometric_distribution<> D;
typedef std::mt19937 G;
G g;
D d(0.96875);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
assert(d.min() <= v && v <= d.max());
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(),
double(0)) / u.size();
double var = 0;
double skew = 0;
double kurtosis = 0;
for (int i = 0; i < u.size(); ++i)
{
double d = (u[i] - mean);
double d2 = sqr(d);
var += d2;
skew += d * d2;
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
skew /= u.size() * dev * var;
kurtosis /= u.size() * var * var;
kurtosis -= 3;
double x_mean = (1 - d.p()) / d.p();
double x_var = x_mean / d.p();
double x_skew = (2 - d.p()) / std::sqrt((1 - d.p()));
double x_kurtosis = 6 + sqr(d.p()) / (1 - d.p());
assert(std::abs(mean - x_mean) / x_mean < 0.01);
assert(std::abs(var - x_var) / x_var < 0.01);
assert(std::abs(skew - x_skew) / x_skew < 0.01);
assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.01);
}
}

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test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/eval_param.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// template<class _URNG> result_type operator()(_URNG& g, const param_type& parm);
#include <random>
#include <numeric>
#include <vector>
#include <cassert>
template <class T>
inline
T
sqr(T x)
{
return x * x;
}
int main()
{
{
typedef std::geometric_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(.75);
P p(.03125);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g, p);
assert(d.min() <= v && v <= d.max());
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(),
double(0)) / u.size();
double var = 0;
double skew = 0;
double kurtosis = 0;
for (int i = 0; i < u.size(); ++i)
{
double d = (u[i] - mean);
double d2 = sqr(d);
var += d2;
skew += d * d2;
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
skew /= u.size() * dev * var;
kurtosis /= u.size() * var * var;
kurtosis -= 3;
double x_mean = (1 - p.p()) / p.p();
double x_var = x_mean / p.p();
double x_skew = (2 - p.p()) / std::sqrt((1 - p.p()));
double x_kurtosis = 6 + sqr(p.p()) / (1 - p.p());
assert(std::abs(mean - x_mean) / x_mean < 0.01);
assert(std::abs(var - x_var) / x_var < 0.01);
assert(std::abs(skew - x_skew) / x_skew < 0.01);
assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.01);
}
{
typedef std::geometric_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(.75);
P p(.25);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g, p);
assert(d.min() <= v && v <= d.max());
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(),
double(0)) / u.size();
double var = 0;
double skew = 0;
double kurtosis = 0;
for (int i = 0; i < u.size(); ++i)
{
double d = (u[i] - mean);
double d2 = sqr(d);
var += d2;
skew += d * d2;
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
skew /= u.size() * dev * var;
kurtosis /= u.size() * var * var;
kurtosis -= 3;
double x_mean = (1 - p.p()) / p.p();
double x_var = x_mean / p.p();
double x_skew = (2 - p.p()) / std::sqrt((1 - p.p()));
double x_kurtosis = 6 + sqr(p.p()) / (1 - p.p());
assert(std::abs(mean - x_mean) / x_mean < 0.01);
assert(std::abs(var - x_var) / x_var < 0.01);
assert(std::abs(skew - x_skew) / x_skew < 0.01);
assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.03);
}
{
typedef std::geometric_distribution<> D;
typedef D::param_type P;
typedef std::minstd_rand G;
G g;
D d(.5);
P p(.75);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g, p);
assert(d.min() <= v && v <= d.max());
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(),
double(0)) / u.size();
double var = 0;
double skew = 0;
double kurtosis = 0;
for (int i = 0; i < u.size(); ++i)
{
double d = (u[i] - mean);
double d2 = sqr(d);
var += d2;
skew += d * d2;
kurtosis += d2 * d2;
}
var /= u.size();
double dev = std::sqrt(var);
skew /= u.size() * dev * var;
kurtosis /= u.size() * var * var;
kurtosis -= 3;
double x_mean = (1 - p.p()) / p.p();
double x_var = x_mean / p.p();
double x_skew = (2 - p.p()) / std::sqrt((1 - p.p()));
double x_kurtosis = 6 + sqr(p.p()) / (1 - p.p());
assert(std::abs(mean - x_mean) / x_mean < 0.01);
assert(std::abs(var - x_var) / x_var < 0.01);
assert(std::abs(skew - x_skew) / x_skew < 0.01);
assert(std::abs(kurtosis - x_kurtosis) / x_kurtosis < 0.01);
}
}

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test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/get_param.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// param_type param() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::geometric_distribution<> D;
typedef D::param_type P;
P p(.125);
D d(p);
assert(d.param() == p);
}
}

41
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/io.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// template <class charT, class traits>
// basic_ostream<charT, traits>&
// operator<<(basic_ostream<charT, traits>& os,
// const geometric_distribution& x);
//
// template <class charT, class traits>
// basic_istream<charT, traits>&
// operator>>(basic_istream<charT, traits>& is,
// geometric_distribution& x);
#include <random>
#include <sstream>
#include <cassert>
int main()
{
{
typedef std::geometric_distribution<> D;
D d1(.25);
std::ostringstream os;
os << d1;
std::istringstream is(os.str());
D d2;
is >> d2;
assert(d1 == d2);
}
}

27
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/max.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// result_type max() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::geometric_distribution<> D;
D d(.25);
assert(d.max() == std::numeric_limits<int>::max());
}
}

27
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/min.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// result_type min() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::geometric_distribution<> D;
D d(.5);
assert(d.min() == 0);
}
}

31
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/param_assign.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::geometric_distribution<> D;
typedef D::param_type param_type;
param_type p0(.7);
param_type p;
p = p0;
assert(p.p() == .7);
}
}

30
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/param_copy.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::geometric_distribution<> D;
typedef D::param_type param_type;
param_type p0(.125);
param_type p = p0;
assert(p.p() == .125);
}
}

35
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/param_ctor.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::geometric_distribution<> D;
typedef D::param_type param_type;
param_type p;
assert(p.p() == 0.5);
}
{
typedef std::geometric_distribution<> D;
typedef D::param_type param_type;
param_type p(0.25);
assert(p.p() == 0.25);
}
}

37
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/param_eq.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::geometric_distribution<> D;
typedef D::param_type param_type;
param_type p1(0.75);
param_type p2(0.75);
assert(p1 == p2);
}
{
typedef std::geometric_distribution<> D;
typedef D::param_type param_type;
param_type p1(0.75);
param_type p2(0.5);
assert(p1 != p2);
}
}

28
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/param_types.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// {
// class param_type;
#include <random>
#include <type_traits>
int main()
{
{
typedef std::geometric_distribution<> D;
typedef D::param_type param_type;
typedef param_type::distribution_type distribution_type;
static_assert((std::is_same<D, distribution_type>::value), "");
}
}

30
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/set_param.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// void param(const param_type& parm);
#include <random>
#include <cassert>
int main()
{
{
typedef std::geometric_distribution<> D;
typedef D::param_type P;
P p(0.25);
D d(0.75);
d.param(p);
assert(d.param() == p);
}
}

32
test/numerics/rand/rand.dis/rand.dist.bern/rand.dist.bern.geo/types.pass.cpp Normal file
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//===----------------------------------------------------------------------===//
//
// 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 geometric_distribution
// {
// typedef bool result_type;
#include <random>
#include <type_traits>
int main()
{
{
typedef std::geometric_distribution<> D;
typedef D::result_type result_type;
static_assert((std::is_same<result_type, int>::value), "");
}
{
typedef std::geometric_distribution<long> D;
typedef D::result_type result_type;
static_assert((std::is_same<result_type, long>::value), "");
}
}