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[rand.dist.pois.weibull] 

llvm-svn: 103891
This commit is contained in:
Howard Hinnant 2010-05-16 01:09:02 +00:00
parent c278d1b3b9
commit b8829825f1
19 changed files with 880 additions and 1 deletions
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154
libcxx/include/random
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@ -842,7 +842,63 @@ public:
};
template<class RealType = double>
class weibull_distribution;
class weibull_distribution
{
public:
// types
typedef RealType result_type;
class param_type
{
public:
typedef weibull_distribution distribution_type;
explicit param_type(result_type alpha = 1, result_type beta = 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 weibull_distribution(result_type a = 1, result_type b = 1);
explicit weibull_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 weibull_distribution& x,
const weibull_distribution& y);
friend bool operator!=(const weibull_distribution& x,
const weibull_distribution& y);
template <class charT, class traits>
friend
basic_ostream<charT, traits>&
operator<<(basic_ostream<charT, traits>& os,
const weibull_distribution& x);
template <class charT, class traits>
friend
basic_istream<charT, traits>&
operator>>(basic_istream<charT, traits>& is,
weibull_distribution& x);
};
template<class RealType = double>
class extreme_value_distribution;
@ -3795,6 +3851,102 @@ operator>>(basic_istream<_CharT, _Traits>& __is,
return __is;
}
// weibull_distribution
template<class _RealType = double>
class weibull_distribution
{
public:
// types
typedef _RealType result_type;
class param_type
{
result_type __a_;
result_type __b_;
public:
typedef weibull_distribution distribution_type;
explicit param_type(result_type __a = 1, 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 weibull_distribution(result_type __a = 1, result_type __b = 1)
: __p_(param_type(__a, __b)) {}
explicit weibull_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)
{return __p.b() *
_STD::pow(exponential_distribution<result_type>()(__g), 1/__p.a());}
// 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 0;}
result_type max() const {return numeric_limits<result_type>::infinity();}
friend bool operator==(const weibull_distribution& __x,
const weibull_distribution& __y)
{return __x.__p_ == __y.__p_;}
friend bool operator!=(const weibull_distribution& __x,
const weibull_distribution& __y)
{return !(__x == __y);}
};
template <class _CharT, class _Traits, class _RT>
basic_ostream<_CharT, _Traits>&
operator<<(basic_ostream<_CharT, _Traits>& __os,
const weibull_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,
weibull_distribution<_RT>& __x)
{
typedef weibull_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.weibull/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 weibull_distribution
// weibull_distribution& operator=(const weibull_distribution&);
#include <random>
#include <cassert>
void
test1()
{
typedef std::weibull_distribution<> D;
D d1(20, 0.75);
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.weibull/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 weibull_distribution
// weibull_distribution(const weibull_distribution&);
#include <random>
#include <cassert>
void
test1()
{
typedef std::weibull_distribution<> D;
D d1(20, 1.75);
D d2 = d1;
assert(d1 == d2);
}
int main()
{
test1();
}

40
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.weibull/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 weibull_distribution
// explicit weibull_distribution(result_type a = 0, result_type b = 1);
#include <random>
#include <cassert>
int main()
{
{
typedef std::weibull_distribution<> D;
D d;
assert(d.a() == 1);
assert(d.b() == 1);
}
{
typedef std::weibull_distribution<> D;
D d(14.5);
assert(d.a() == 14.5);
assert(d.b() == 1);
}
{
typedef std::weibull_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.weibull/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 weibull_distribution
// explicit weibull_distribution(const param_type& parm);
#include <random>
#include <cassert>
int main()
{
{
typedef std::weibull_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.weibull/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 weibull_distribution
// bool operator=(const weibull_distribution& x,
// const weibull_distribution& y);
// bool operator!(const weibull_distribution& x,
// const weibull_distribution& y);
#include <random>
#include <cassert>
int main()
{
{
typedef std::weibull_distribution<> D;
D d1(2.5, 4);
D d2(2.5, 4);
assert(d1 == d2);
}
{
typedef std::weibull_distribution<> D;
D d1(2.5, 4);
D d2(2.5, 4.5);
assert(d1 != d2);
}
}

95
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.weibull/eval.pass.cpp Normal file
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@ -0,0 +1,95 @@
//===----------------------------------------------------------------------===//
//
// 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 weibull_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::weibull_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(0.5, 2);
const int N = 100000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
u.push_back(d(g));
D::result_type mean = std::accumulate(u.begin(), u.end(),
D::result_type(0)) / u.size();
D::result_type var = 0;
for (int i = 0; i < u.size(); ++i)
var += sqr(u[i] - mean);
var /= u.size();
D::result_type x_mean = d.b() * std::tgamma(1 + 1/d.a());
D::result_type x_var = sqr(d.b()) * std::tgamma(1 + 2/d.a()) - sqr(x_mean);
assert(std::abs(mean - x_mean) / x_mean < 0.02);
assert(std::abs(var - x_var) / x_var < 0.02);
}
{
typedef std::weibull_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(1, .5);
const int N = 100000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
u.push_back(d(g));
D::result_type mean = std::accumulate(u.begin(), u.end(),
D::result_type(0)) / u.size();
D::result_type var = 0;
for (int i = 0; i < u.size(); ++i)
var += sqr(u[i] - mean);
var /= u.size();
D::result_type x_mean = d.b() * std::tgamma(1 + 1/d.a());
D::result_type x_var = sqr(d.b()) * std::tgamma(1 + 2/d.a()) - sqr(x_mean);
assert(std::abs(mean - x_mean) / x_mean < 0.02);
assert(std::abs(var - x_var) / x_var < 0.02);
}
{
typedef std::weibull_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(2, 3);
const int N = 100000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
u.push_back(d(g));
D::result_type mean = std::accumulate(u.begin(), u.end(),
D::result_type(0)) / u.size();
D::result_type var = 0;
for (int i = 0; i < u.size(); ++i)
var += sqr(u[i] - mean);
var /= u.size();
D::result_type x_mean = d.b() * std::tgamma(1 + 1/d.a());
D::result_type x_var = sqr(d.b()) * std::tgamma(1 + 2/d.a()) - sqr(x_mean);
assert(std::abs(mean - x_mean) / x_mean < 0.02);
assert(std::abs(var - x_var) / x_var < 0.02);
}
}

98
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.weibull/eval_param.pass.cpp Normal file
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@ -0,0 +1,98 @@
//===----------------------------------------------------------------------===//
//
// 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 weibull_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::weibull_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(0.5, 2);
P p(1, .5);
const int N = 100000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
u.push_back(d(g, p));
D::result_type mean = std::accumulate(u.begin(), u.end(),
D::result_type(0)) / u.size();
D::result_type var = 0;
for (int i = 0; i < u.size(); ++i)
var += sqr(u[i] - mean);
var /= u.size();
D::result_type x_mean = p.b() * std::tgamma(1 + 1/p.a());
D::result_type x_var = sqr(p.b()) * std::tgamma(1 + 2/p.a()) - sqr(x_mean);
assert(std::abs(mean - x_mean) / x_mean < 0.02);
assert(std::abs(var - x_var) / x_var < 0.02);
}
{
typedef std::weibull_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(1, .5);
P p(2, 3);
const int N = 100000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
u.push_back(d(g, p));
D::result_type mean = std::accumulate(u.begin(), u.end(),
D::result_type(0)) / u.size();
D::result_type var = 0;
for (int i = 0; i < u.size(); ++i)
var += sqr(u[i] - mean);
var /= u.size();
D::result_type x_mean = p.b() * std::tgamma(1 + 1/p.a());
D::result_type x_var = sqr(p.b()) * std::tgamma(1 + 2/p.a()) - sqr(x_mean);
assert(std::abs(mean - x_mean) / x_mean < 0.02);
assert(std::abs(var - x_var) / x_var < 0.02);
}
{
typedef std::weibull_distribution<> D;
typedef D::param_type P;
typedef std::mt19937 G;
G g;
D d(2, 3);
P p(.5, 2);
const int N = 100000;
std::vector<D::result_type> u;
for (int i = 0; i < N; ++i)
u.push_back(d(g, p));
D::result_type mean = std::accumulate(u.begin(), u.end(),
D::result_type(0)) / u.size();
D::result_type var = 0;
for (int i = 0; i < u.size(); ++i)
var += sqr(u[i] - mean);
var /= u.size();
D::result_type x_mean = p.b() * std::tgamma(1 + 1/p.a());
D::result_type x_var = sqr(p.b()) * std::tgamma(1 + 2/p.a()) - sqr(x_mean);
assert(std::abs(mean - x_mean) / x_mean < 0.02);
assert(std::abs(var - x_var) / x_var < 0.02);
}
}

29
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.weibull/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 weibull_distribution
// param_type param() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::weibull_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.weibull/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 weibull_distribution
// template <class CharT, class Traits, class RealType>
// basic_ostream<CharT, Traits>&
// operator<<(basic_ostream<CharT, Traits>& os,
// const weibull_distribution<RealType>& x);
// template <class CharT, class Traits, class RealType>
// basic_istream<CharT, Traits>&
// operator>>(basic_istream<CharT, Traits>& is,
// weibull_distribution<RealType>& x);
#include <random>
#include <sstream>
#include <cassert>
int main()
{
{
typedef std::weibull_distribution<> D;
D d1(7, 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.weibull/max.pass.cpp Normal file
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@ -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 RealType = double>
// class weibull_distribution
// result_type max() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::weibull_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.weibull/min.pass.cpp Normal file
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@ -0,0 +1,27 @@
//===----------------------------------------------------------------------===//
//
// 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 weibull_distribution
// result_type min() const;
#include <random>
#include <cassert>
int main()
{
{
typedef std::weibull_distribution<> D;
D d(.5, .5);
assert(d.min() == 0);
}
}

32
libcxx/test/numerics/rand/rand.dis/rand.dist.pois/rand.dist.pois.weibull/param_assign.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 weibull_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::weibull_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.weibull/param_copy.pass.cpp Normal file
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@ -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 RealType = double>
// class weibull_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::weibull_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.weibull/param_ctor.pass.cpp Normal file
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@ -0,0 +1,44 @@
//===----------------------------------------------------------------------===//
//
// 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 weibull_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::weibull_distribution<> D;
typedef D::param_type param_type;
param_type p;
assert(p.a() == 1);
assert(p.b() == 1);
}
{
typedef std::weibull_distribution<> D;
typedef D::param_type param_type;
param_type p(10);
assert(p.a() == 10);
assert(p.b() == 1);
}
{
typedef std::weibull_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.weibull/param_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 weibull_distribution
// {
// class param_type;
#include <random>
#include <limits>
#include <cassert>
int main()
{
{
typedef std::weibull_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::weibull_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.weibull/param_types.pass.cpp Normal file
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@ -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 RealType = double>
// class weibull_distribution
// {
// class param_type;
#include <random>
#include <type_traits>
int main()
{
{
typedef std::weibull_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.weibull/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 weibull_distribution;
// void param(const param_type& parm);
#include <random>
#include <cassert>
int main()
{
{
typedef std::weibull_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.weibull/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 weibull_distribution
// {
// public:
// // types
// typedef RealType result_type;
#include <random>
#include <type_traits>
int main()
{
{
typedef std::weibull_distribution<> D;
typedef D::result_type result_type;
static_assert((std::is_same<result_type, double>::value), "");
}
{
typedef std::weibull_distribution<float> D;
typedef D::result_type result_type;
static_assert((std::is_same<result_type, float>::value), "");
}
}