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[rand.dist.pois.extreme] 

llvm-svn: 103942
This commit is contained in:
Howard Hinnant 2010-05-17 16:21:56 +00:00
parent 9154b5dffe
commit c675d983f6
19 changed files with 1070 additions and 2 deletions
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158
libcxx/include/random
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@ -989,7 +989,6 @@ public:
result_type min() const;
result_type max() const;
friend bool operator==(const weibull_distribution& x,
const weibull_distribution& y);
friend bool operator!=(const weibull_distribution& x,
@ -1009,7 +1008,62 @@ public:
};
template<class RealType = double>
class extreme_value_distribution;
class extreme_value_distribution
{
public:
// types
typedef RealType result_type;
class param_type
{
public:
typedef extreme_value_distribution distribution_type;
explicit param_type(result_type a = 0, result_type b = 1);
result_type a() const;
result_type b() const;
friend bool operator==(const param_type& x, const param_type& y);
friend bool operator!=(const param_type& x, const param_type& y);
};
// constructor and reset functions
explicit extreme_value_distribution(result_type a = 0, result_type b = 1);
explicit extreme_value_distribution(const param_type& parm);
void reset();
// generating functions
template<class URNG> result_type operator()(URNG& g);
template<class URNG> result_type operator()(URNG& g, const param_type& parm);
// property functions
result_type a() const;
result_type b() const;
param_type param() const;
void param(const param_type& parm);
result_type min() const;
result_type max() const;
friend bool operator==(const extreme_value_distribution& x,
const extreme_value_distribution& y);
friend bool operator!=(const extreme_value_distribution& x,
const extreme_value_distribution& y);
template <class charT, class traits>
friend
basic_ostream<charT, traits>&
operator<<(basic_ostream<charT, traits>& os,
const extreme_value_distribution& x);
template <class charT, class traits>
friend
basic_istream<charT, traits>&
operator>>(basic_istream<charT, traits>& is,
extreme_value_distribution& x);
};
template<class RealType = double>
class normal_distribution
@ -4053,6 +4107,106 @@ operator>>(basic_istream<_CharT, _Traits>& __is,
return __is;
}
template<class _RealType = double>
class extreme_value_distribution
{
public:
// types
typedef _RealType result_type;
class param_type
{
result_type __a_;
result_type __b_;
public:
typedef extreme_value_distribution distribution_type;
explicit param_type(result_type __a = 0, result_type __b = 1)
: __a_(__a), __b_(__b) {}
result_type a() const {return __a_;}
result_type b() const {return __b_;}
friend bool operator==(const param_type& __x, const param_type& __y)
{return __x.__a_ == __y.__a_ && __x.__b_ == __y.__b_;}
friend bool operator!=(const param_type& __x, const param_type& __y)
{return !(__x == __y);}
};
private:
param_type __p_;
public:
// constructor and reset functions
explicit extreme_value_distribution(result_type __a = 0, result_type __b = 1)
: __p_(param_type(__a, __b)) {}
explicit extreme_value_distribution(const param_type& __p)
: __p_(__p) {}
void reset() {}
// generating functions
template<class _URNG> result_type operator()(_URNG& __g)
{return (*this)(__g, __p_);}
template<class _URNG> result_type operator()(_URNG& __g, const param_type& __p);
// property functions
result_type a() const {return __p_.a();}
result_type b() const {return __p_.b();}
param_type param() const {return __p_;}
void param(const param_type& __p) {__p_ = __p;}
result_type min() const {return -numeric_limits<result_type>::infinity();}
result_type max() const {return numeric_limits<result_type>::infinity();}
friend bool operator==(const extreme_value_distribution& __x,
const extreme_value_distribution& __y)
{return __x.__p_ == __y.__p_;}
friend bool operator!=(const extreme_value_distribution& __x,
const extreme_value_distribution& __y)
{return !(__x == __y);}
};
template<class _RealType>
template<class _URNG>
_RealType
extreme_value_distribution<_RealType>::operator()(_URNG& __g, const param_type& __p)
{
return __p.a() - __p.b() *
_STD::log(-_STD::log(1-uniform_real_distribution<result_type>()(__g)));
}
template <class _CharT, class _Traits, class _RT>
basic_ostream<_CharT, _Traits>&
operator<<(basic_ostream<_CharT, _Traits>& __os,
const extreme_value_distribution<_RT>& __x)
{
__save_flags<_CharT, _Traits> _(__os);
__os.flags(ios_base::dec | ios_base::left);
_CharT __sp = __os.widen(' ');
__os.fill(__sp);
__os << __x.a() << __sp << __x.b();
return __os;
}
template <class _CharT, class _Traits, class _RT>
basic_istream<_CharT, _Traits>&
operator>>(basic_istream<_CharT, _Traits>& __is,
extreme_value_distribution<_RT>& __x)
{
typedef extreme_value_distribution<_RT> _Eng;
typedef typename _Eng::result_type result_type;
typedef typename _Eng::param_type param_type;
__save_flags<_CharT, _Traits> _(__is);
__is.flags(ios_base::dec | ios_base::skipws);
result_type __a;
result_type __b;
__is >> __a >> __b;
if (!__is.fail())
__x.param(param_type(__a, __b));
return __is;
}
// gamma_distribution
template<class _RealType = double>

34
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/assign.pass.cpp Normal file
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@ -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 RealType = double>
// class extreme_value_distribution
// extreme_value_distribution& operator=(const extreme_value_distribution&);
#include <random>
#include <cassert>
void
test1()
{
typedef std::extreme_value_distribution<> D;
D d1(.5, 2);
D d2;
assert(d1 != d2);
d2 = d1;
assert(d1 == d2);
}
int main()
{
test1();
}

32
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/copy.pass.cpp Normal file
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@ -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 RealType = double>
// class extreme_value_distribution
// extreme_value_distribution(const extreme_value_distribution&);
#include <random>
#include <cassert>
void
test1()
{
typedef std::extreme_value_distribution<> D;
D d1(.5, 1.75);
D d2 = d1;
assert(d1 == d2);
}
int main()
{
test1();
}

40
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/ctor_double_double.pass.cpp Normal file
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@ -0,0 +1,40 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class RealType = double>
// class extreme_value_distribution
// explicit extreme_value_distribution(result_type a = 0, result_type b = 1);
#include <random>
#include <cassert>
int main()
{
{
typedef std::extreme_value_distribution<> D;
D d;
assert(d.a() == 0);
assert(d.b() == 1);
}
{
typedef std::extreme_value_distribution<> D;
D d(14.5);
assert(d.a() == 14.5);
assert(d.b() == 1);
}
{
typedef std::extreme_value_distribution<> D;
D d(14.5, 5.25);
assert(d.a() == 14.5);
assert(d.b() == 5.25);
}
}

30
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/ctor_param.pass.cpp Normal file
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@ -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 RealType = double>
// class extreme_value_distribution
// explicit extreme_value_distribution(const param_type& parm);
#include <random>
#include <cassert>
int main()
{
{
typedef std::extreme_value_distribution<> D;
typedef D::param_type P;
P p(0.25, 10);
D d(p);
assert(d.a() == 0.25);
assert(d.b() == 10);
}
}

37
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/eq.pass.cpp Normal file
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@ -0,0 +1,37 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class RealType = double>
// class extreme_value_distribution
// bool operator=(const extreme_value_distribution& x,
// const extreme_value_distribution& y);
// bool operator!(const extreme_value_distribution& x,
// const extreme_value_distribution& y);
#include <random>
#include <cassert>
int main()
{
{
typedef std::extreme_value_distribution<> D;
D d1(2.5, 4);
D d2(2.5, 4);
assert(d1 == d2);
}
{
typedef std::extreme_value_distribution<> D;
D d1(2.5, 4);
D d2(2.5, 4.5);
assert(d1 != d2);
}
}

188
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/eval.pass.cpp Normal file
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@ -0,0 +1,188 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class RealType = double>
// class extreme_value_distribution
// template<class _URNG> result_type operator()(_URNG& g);
#include <random>
#include <cassert>
#include <vector>
#include <numeric>
template <class T>
inline
T
sqr(T x)
{
return x * x;
}
int main()
{
{
typedef std::extreme_value_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(0.5, 2);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(), 0.0) / 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 = d.a() + d.b() * 0.577215665;
double x_var = sqr(d.b()) * 1.644934067;
double x_skew = 1.139547;
double x_kurtosis = 12./5;
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::extreme_value_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(1, 2);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(), 0.0) / 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 = d.a() + d.b() * 0.577215665;
double x_var = sqr(d.b()) * 1.644934067;
double x_skew = 1.139547;
double x_kurtosis = 12./5;
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::extreme_value_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(1.5, 3);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(), 0.0) / 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 = d.a() + d.b() * 0.577215665;
double x_var = sqr(d.b()) * 1.644934067;
double x_skew = 1.139547;
double x_kurtosis = 12./5;
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::extreme_value_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(3, 4);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g);
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(), 0.0) / 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 = d.a() + d.b() * 0.577215665;
double x_var = sqr(d.b()) * 1.644934067;
double x_skew = 1.139547;
double x_kurtosis = 12./5;
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);
}
}

192
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/eval_param.pass.cpp Normal file
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@ -0,0 +1,192 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class RealType = double>
// class extreme_value_distribution
// template<class _URNG> result_type operator()(_URNG& g, const param_type& parm);
#include <random>
#include <cassert>
#include <vector>
#include <numeric>
template <class T>
inline
T
sqr(T x)
{
return x * x;
}
int main()
{
{
typedef std::extreme_value_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(-0.5, 1);
P p(0.5, 2);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g, p);
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(), 0.0) / 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 = p.a() + p.b() * 0.577215665;
double x_var = sqr(p.b()) * 1.644934067;
double x_skew = 1.139547;
double x_kurtosis = 12./5;
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::extreme_value_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(-0.5, 1);
P p(1, 2);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g, p);
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(), 0.0) / 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 = p.a() + p.b() * 0.577215665;
double x_var = sqr(p.b()) * 1.644934067;
double x_skew = 1.139547;
double x_kurtosis = 12./5;
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::extreme_value_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(-0.5, 1);
P p(1.5, 3);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g, p);
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(), 0.0) / 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 = p.a() + p.b() * 0.577215665;
double x_var = sqr(p.b()) * 1.644934067;
double x_skew = 1.139547;
double x_kurtosis = 12./5;
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::extreme_value_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(-0.5, 1);
P p(3, 4);
const int N = 1000000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
{
D::result_type v = d(g, p);
u.push_back(v);
}
double mean = std::accumulate(u.begin(), u.end(), 0.0) / 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 = p.a() + p.b() * 0.577215665;
double x_var = sqr(p.b()) * 1.644934067;
double x_skew = 1.139547;
double x_kurtosis = 12./5;
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);
}
}

29
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/get_param.pass.cpp Normal file
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@ -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 RealType = double>
// class extreme_value_distribution
// param_type param() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::extreme_value_distribution<> D;
typedef D::param_type P;
P p(.125, .5);
D d(p);
assert(d.param() == p);
}
}

41
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/io.pass.cpp Normal file
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@ -0,0 +1,41 @@
//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is distributed under the University of Illinois Open Source
// License. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <random>
// template<class RealType = double>
// class extreme_value_distribution
// template <class CharT, class Traits, class RealType>
// basic_ostream<CharT, Traits>&
// operator<<(basic_ostream<CharT, Traits>& os,
// const extreme_value_distribution<RealType>& x);
// template <class CharT, class Traits, class RealType>
// basic_istream<CharT, Traits>&
// operator>>(basic_istream<CharT, Traits>& is,
// extreme_value_distribution<RealType>& x);
#include <random>
#include <sstream>
#include <cassert>
int main()
{
{
typedef std::extreme_value_distribution<> D;
D d1(7.5, 5.5);
std::ostringstream os;
os << d1;
std::istringstream is(os.str());
D d2;
is >> d2;
assert(d1 == d2);
}
}

28
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/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 RealType = double>
// class extreme_value_distribution
// result_type max() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::extreme_value_distribution<> D;
D d(5, .25);
D::result_type m = d.max();
assert(m == INFINITY);
}
}

27
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/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 RealType = double>
// class extreme_value_distribution
// result_type min() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::extreme_value_distribution<> D;
D d(.5, .5);
assert(d.min() == -INFINITY);
}
}

32
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/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 RealType = double>
// class extreme_value_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::extreme_value_distribution<> D;
typedef D::param_type param_type;
param_type p0(.75, 6);
param_type p;
p = p0;
assert(p.a() == .75);
assert(p.b() == 6);
}
}

31
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/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 RealType = double>
// class extreme_value_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::extreme_value_distribution<> D;
typedef D::param_type param_type;
param_type p0(10, .125);
param_type p = p0;
assert(p.a() == 10);
assert(p.b() == .125);
}
}

44
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/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 RealType = double>
// class extreme_value_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::extreme_value_distribution<> D;
typedef D::param_type param_type;
param_type p;
assert(p.a() == 0);
assert(p.b() == 1);
}
{
typedef std::extreme_value_distribution<> D;
typedef D::param_type param_type;
param_type p(10);
assert(p.a() == 10);
assert(p.b() == 1);
}
{
typedef std::extreme_value_distribution<> D;
typedef D::param_type param_type;
param_type p(10, 5);
assert(p.a() == 10);
assert(p.b() == 5);
}
}

37
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/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 RealType = double>
// class extreme_value_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::extreme_value_distribution<> D;
typedef D::param_type param_type;
param_type p1(0.75, .5);
param_type p2(0.75, .5);
assert(p1 == p2);
}
{
typedef std::extreme_value_distribution<> D;
typedef D::param_type param_type;
param_type p1(0.75, .5);
param_type p2(0.5, .5);
assert(p1 != p2);
}
}

28
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/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 RealType = double>
// class extreme_value_distribution
// {
// class param_type;
#include <random>
#include <type_traits>
int main()
{
{
typedef std::extreme_value_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
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/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 RealType = double>
// class extreme_value_distribution;
// void param(const param_type& parm);
#include <random>
#include <cassert>
int main()
{
{
typedef std::extreme_value_distribution<> D;
typedef D::param_type P;
P p(0.25, 5.5);
D d(0.75, 4);
d.param(p);
assert(d.param() == p);
}
}

34
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.extreme/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 RealType = double>
// class extreme_value_distribution
// {
// public:
// // types
// typedef RealType result_type;
#include <random>
#include <type_traits>
int main()
{
{
typedef std::extreme_value_distribution<> D;
typedef D::result_type result_type;
static_assert((std::is_same<result_type, double>::value), "");
}
{
typedef std::extreme_value_distribution<float> D;
typedef D::result_type result_type;
static_assert((std::is_same<result_type, float>::value), "");
}
}