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Commit 12905f10 by Jonathan Wakely Committed by Jonathan Wakely
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PR69240 Define inequality operators for <random> param types 

	PR libstdc++/69240
	* include/bits/random.h (uniform_real_distribution::param_type)
	(normal_distribution::param_type, lognormal_distribution::param_type)
	(gamma_distribution::param_type, chi_squared_distribution::param_type)
	(cauchy_distribution::param_type, fisher_f_distribution::param_type)
	(student_t_distribution::param_type)
	(bernoulli_distribution::param_type, binomial_distribution::param_type)
	(geometric_distribution::param_type)
	(negative_binomial_distribution::param_type)
	(poisson_distribution::param_type)
	(exponential_distribution::param_type)
	(weibull_distribution::param_type)
	(extreme_value_distribution::param_type)
	(discrete_distribution::param_type)
	(piecewise_constant_distribution::param_type)
	(piecewise_linear_distribution::param_type): Define operator!=.
	* include/bits/uniform_int_dist.h
	(uniform_int_distribution::param_type): Likewise.
	* include/ext/random (beta_distribution::param_type)
	(rice_distribution::param_type, nakagami_distribution::param_type)
	(pareto_distribution::param_type, k_distribution::param_type)
	(arcsine_distribution::param_type, hoyt_distribution::param_type)
	(triangular_distribution::param_type)
	(von_mises_distribution::param_type)
	(hypergeometric_distribution::param_type)
	(logistic_distribution::param_type)
	(uniform_on_sphere_distribution::param_type)
	(uniform_inside_sphere_distribution::param_type): Likewise.
	* testsuite/26_numerics/random/bernoulli_distribution/cons/parms.cc:
	Test construction with param_type.
	* testsuite/26_numerics/random/binomial_distribution/cons/parms.cc:
	Likewise.
	* testsuite/26_numerics/random/cauchy_distribution/cons/parms.cc:
	Likewise.
	* testsuite/26_numerics/random/chi_squared_distribution/cons/parms.cc:
	Likewise.
	* testsuite/26_numerics/random/exponential_distribution/cons/parms.cc:
	Likewise.
	* testsuite/26_numerics/random/extreme_value_distribution/cons/
	parms.cc: Likewise.
	* testsuite/26_numerics/random/fisher_f_distribution/cons/parms.cc:
	Likewise.
	* testsuite/26_numerics/random/gamma_distribution/cons/parms.cc:
	Likewise.
	* testsuite/26_numerics/random/geometric_distribution/cons/parms.cc:
	Likewise.
	* testsuite/26_numerics/random/lognormal_distribution/cons/parms.cc:
	Likewise.
	* testsuite/26_numerics/random/negative_binomial_distribution/cons/
	parms.cc: Likewise.
	* testsuite/26_numerics/random/normal_distribution/cons/parms.cc:
	Likewise.
	* testsuite/26_numerics/random/poisson_distribution/cons/parms.cc:
	Likewise.
	* testsuite/26_numerics/random/student_t_distribution/cons/parms.cc:
	Likewise.
	* testsuite/26_numerics/random/uniform_int_distribution/cons/parms.cc:
	Likewise.
	* testsuite/26_numerics/random/uniform_real_distribution/cons/parms.cc:
	Likewise.
	* testsuite/26_numerics/random/weibull_distribution/cons/parms.cc:
	Likewise.
	* testsuite/ext/random/arcsine_distribution/cons/parms.cc: Likewise.
	* testsuite/ext/random/beta_distribution/cons/parms.cc: Likewise.
	* testsuite/ext/random/hoyt_distribution/cons/parms.cc: Likewise.
	* testsuite/ext/random/hypergeometric_distribution/cons/parms.cc:
	Likewise.
	* testsuite/ext/random/k_distribution/cons/parms.cc: Likewise.
	* testsuite/ext/random/logistic_distribution/cons/parms.cc: Likewise.
	* testsuite/ext/random/nakagami_distribution/cons/parms.cc: Likewise.
	* testsuite/ext/random/normal_mv_distribution/cons/parms.cc: Likewise.
	* testsuite/ext/random/pareto_distribution/cons/parms.cc: Likewise.
	* testsuite/ext/random/rice_distribution/cons/parms.cc: Likewise.
	* testsuite/ext/random/triangular_distribution/cons/parms.cc:
	Likewise.
	* testsuite/ext/random/uniform_inside_sphere_distribution/cons/
	parms.cc: Likewise.
	* testsuite/ext/random/von_mises_distribution/cons/parms.cc: Likewise.

From-SVN: r244722
parent 0a3ec628
Showing with 673 additions and 67 deletions
libstdc++-v3/ChangeLog
2017-01-20 Jonathan Wakely <jwakely@redhat.com>
PR libstdc++/69240
* include/bits/random.h (uniform_real_distribution::param_type)
(normal_distribution::param_type, lognormal_distribution::param_type)
(gamma_distribution::param_type, chi_squared_distribution::param_type)
(cauchy_distribution::param_type, fisher_f_distribution::param_type)
(student_t_distribution::param_type)
(bernoulli_distribution::param_type, binomial_distribution::param_type)
(geometric_distribution::param_type)
(negative_binomial_distribution::param_type)
(poisson_distribution::param_type)
(exponential_distribution::param_type)
(weibull_distribution::param_type)
(extreme_value_distribution::param_type)
(discrete_distribution::param_type)
(piecewise_constant_distribution::param_type)
(piecewise_linear_distribution::param_type): Define operator!=.
* include/bits/uniform_int_dist.h
(uniform_int_distribution::param_type): Likewise.
* include/ext/random (beta_distribution::param_type)
(rice_distribution::param_type, nakagami_distribution::param_type)
(pareto_distribution::param_type, k_distribution::param_type)
(arcsine_distribution::param_type, hoyt_distribution::param_type)
(triangular_distribution::param_type)
(von_mises_distribution::param_type)
(hypergeometric_distribution::param_type)
(logistic_distribution::param_type)
(uniform_on_sphere_distribution::param_type)
(uniform_inside_sphere_distribution::param_type): Likewise.
* testsuite/26_numerics/random/bernoulli_distribution/cons/parms.cc:
Test construction with param_type.
* testsuite/26_numerics/random/binomial_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/cauchy_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/chi_squared_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/exponential_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/extreme_value_distribution/cons/
parms.cc: Likewise.
* testsuite/26_numerics/random/fisher_f_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/gamma_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/geometric_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/lognormal_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/negative_binomial_distribution/cons/
parms.cc: Likewise.
* testsuite/26_numerics/random/normal_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/poisson_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/student_t_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/uniform_int_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/uniform_real_distribution/cons/parms.cc:
Likewise.
* testsuite/26_numerics/random/weibull_distribution/cons/parms.cc:
Likewise.
* testsuite/ext/random/arcsine_distribution/cons/parms.cc: Likewise.
* testsuite/ext/random/beta_distribution/cons/parms.cc: Likewise.
* testsuite/ext/random/hoyt_distribution/cons/parms.cc: Likewise.
* testsuite/ext/random/hypergeometric_distribution/cons/parms.cc:
Likewise.
* testsuite/ext/random/k_distribution/cons/parms.cc: Likewise.
* testsuite/ext/random/logistic_distribution/cons/parms.cc: Likewise.
* testsuite/ext/random/nakagami_distribution/cons/parms.cc: Likewise.
* testsuite/ext/random/normal_mv_distribution/cons/parms.cc: Likewise.
* testsuite/ext/random/pareto_distribution/cons/parms.cc: Likewise.
* testsuite/ext/random/rice_distribution/cons/parms.cc: Likewise.
* testsuite/ext/random/triangular_distribution/cons/parms.cc:
Likewise.
* testsuite/ext/random/uniform_inside_sphere_distribution/cons/
parms.cc: Likewise.
* testsuite/ext/random/von_mises_distribution/cons/parms.cc: Likewise.
PR libstdc++/72792
* include/bits/alloc_traits.h (__allocator_traits_base::__diff_type)
(__allocator_traits_base::__size_type): Remove.
......
libstdc++-v3/include/bits/uniform_int_dist.h
......@@ -91,6 +91,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
operator==(const param_type& __p1, const param_type& __p2)
{ return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; }
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
_IntType _M_a;
_IntType _M_b;
......@@ -363,6 +367,8 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
*__f++ = __uctype(__urng()) - __urngmin + __param.a();
}
// operator!= and operator<< and operator>> are defined in <bits/random.h>
_GLIBCXX_END_NAMESPACE_VERSION
} // namespace std
......
libstdc++-v3/include/ext/random
......@@ -404,6 +404,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
public:
/** The type of the range of the distribution. */
typedef _RealType result_type;
/** Parameter type. */
struct param_type
{
......@@ -432,6 +433,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{ return (__p1._M_alpha == __p2._M_alpha
&& __p1._M_beta == __p2._M_beta); }
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
void
_M_initialize();
......@@ -710,6 +715,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
operator==(const param_type& __p1, const param_type& __p2)
{ return __p1._M_mean == __p2._M_mean && __p1._M_t == __p2._M_t; }
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
template <typename _InputIterator1, typename _InputIterator2>
void _M_init_full(_InputIterator1 __meanbegin,
......@@ -942,6 +951,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
public:
/** The type of the range of the distribution. */
typedef _RealType result_type;
/** Parameter type. */
struct param_type
{
......@@ -965,8 +975,11 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
friend bool
operator==(const param_type& __p1, const param_type& __p2)
{ return __p1._M_nu == __p2._M_nu
&& __p1._M_sigma == __p2._M_sigma; }
{ return __p1._M_nu == __p2._M_nu && __p1._M_sigma == __p2._M_sigma; }
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
void _M_initialize();
......@@ -1184,6 +1197,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
public:
/** The type of the range of the distribution. */
typedef _RealType result_type;
/** Parameter type. */
struct param_type
{
......@@ -1207,8 +1221,11 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
friend bool
operator==(const param_type& __p1, const param_type& __p2)
{ return __p1._M_mu == __p2._M_mu
&& __p1._M_omega == __p2._M_omega; }
{ return __p1._M_mu == __p2._M_mu && __p1._M_omega == __p2._M_omega; }
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
void _M_initialize();
......@@ -1417,6 +1434,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
public:
/** The type of the range of the distribution. */
typedef _RealType result_type;
/** Parameter type. */
struct param_type
{
......@@ -1442,6 +1460,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
operator==(const param_type& __p1, const param_type& __p2)
{ return __p1._M_alpha == __p2._M_alpha && __p1._M_mu == __p2._M_mu; }
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
void _M_initialize();
......@@ -1651,6 +1673,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
public:
/** The type of the range of the distribution. */
typedef _RealType result_type;
/** Parameter type. */
struct param_type
{
......@@ -1680,9 +1703,15 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
friend bool
operator==(const param_type& __p1, const param_type& __p2)
{ return __p1._M_lambda == __p2._M_lambda
{
return __p1._M_lambda == __p2._M_lambda
&& __p1._M_mu == __p2._M_mu
&& __p1._M_nu == __p2._M_nu; }
&& __p1._M_nu == __p2._M_nu;
}
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
void _M_initialize();
......@@ -1890,6 +1919,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
public:
/** The type of the range of the distribution. */
typedef _RealType result_type;
/** Parameter type. */
struct param_type
{
......@@ -1914,6 +1944,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
operator==(const param_type& __p1, const param_type& __p2)
{ return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; }
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
void _M_initialize();
......@@ -2126,6 +2160,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
public:
/** The type of the range of the distribution. */
typedef _RealType result_type;
/** Parameter type. */
struct param_type
{
......@@ -2149,8 +2184,11 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
friend bool
operator==(const param_type& __p1, const param_type& __p2)
{ return __p1._M_q == __p2._M_q
&& __p1._M_omega == __p2._M_omega; }
{ return __p1._M_q == __p2._M_q && __p1._M_omega == __p2._M_omega; }
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
void _M_initialize();
......@@ -2359,6 +2397,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
public:
/** The type of the range of the distribution. */
typedef _RealType result_type;
/** Parameter type. */
struct param_type
{
......@@ -2393,8 +2432,14 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
friend bool
operator==(const param_type& __p1, const param_type& __p2)
{ return (__p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b
&& __p1._M_c == __p2._M_c); }
{
return (__p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b
&& __p1._M_c == __p2._M_c);
}
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
......@@ -2646,8 +2691,11 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
friend bool
operator==(const param_type& __p1, const param_type& __p2)
{ return (__p1._M_mu == __p2._M_mu
&& __p1._M_kappa == __p2._M_kappa); }
{ return __p1._M_mu == __p2._M_mu && __p1._M_kappa == __p2._M_kappa; }
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
_RealType _M_mu;
......@@ -2889,6 +2937,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
&& (__p1._M_K == __p2._M_K)
&& (__p1._M_n == __p2._M_n); }
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
result_type _M_N;
......@@ -3111,6 +3163,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
public:
/** The type of the range of the distribution. */
typedef _RealType result_type;
/** Parameter type. */
struct param_type
{
......@@ -3133,8 +3186,11 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
friend bool
operator==(const param_type& __p1, const param_type& __p2)
{ return __p1._M_a == __p2._M_a
&& __p1._M_b == __p2._M_b; }
{ return __p1._M_a == __p2._M_a && __p1._M_b == __p2._M_b; }
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
void _M_initialize();
......@@ -3317,6 +3373,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
public:
/** The type of the range of the distribution. */
typedef std::array<_RealType, _Dimen> result_type;
/** Parameter type. */
struct param_type
{
......@@ -3325,8 +3382,12 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{ }
friend bool
operator==(const param_type& __p1, const param_type& __p2)
operator==(const param_type&, const param_type&)
{ return true; }
friend bool
operator!=(const param_type&, const param_type&)
{ return false; }
};
/**
......@@ -3530,6 +3591,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
operator==(const param_type& __p1, const param_type& __p2)
{ return __p1._M_radius == __p2._M_radius; }
friend bool
operator!=(const param_type& __p1, const param_type& __p2)
{ return !(__p1 == __p2); }
private:
_RealType _M_radius;
};
......
libstdc++-v3/testsuite/26_numerics/random/bernoulli_distribution/cons/parms.cc
......@@ -35,8 +35,20 @@ test01()
VERIFY( u.max() == std::numeric_limits<bool>::max() );
}
void
test02()
{
using param_type = std::bernoulli_distribution::param_type;
const param_type p(0.75);
std::bernoulli_distribution u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
VERIFY( u.min() == std::numeric_limits<bool>::min() );
VERIFY( u.max() == std::numeric_limits<bool>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/binomial_distribution/cons/parms.cc
......@@ -36,8 +36,20 @@ test01()
VERIFY( u.max() == u.t() );
}
void
test02()
{
using param_type = std::binomial_distribution<>::param_type;
const param_type p(3, 0.75);
std::binomial_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
VERIFY( u.min() == 0 );
VERIFY( u.max() == u.t() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/cauchy_distribution/cons/parms.cc
......@@ -37,8 +37,21 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
using param_type = std::cauchy_distribution<>::param_type;
const param_type p(5.0, 2.0);
std::cauchy_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef std::cauchy_distribution<>::result_type result_type;
VERIFY( u.min() == std::numeric_limits<result_type>::lowest() );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/chi_squared_distribution/cons/parms.cc
......@@ -36,8 +36,21 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
using param_type = std::chi_squared_distribution<>::param_type;
const param_type p(1.5);
std::chi_squared_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef std::chi_squared_distribution<>::result_type result_type;
VERIFY( u.min() == 0.0 );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/exponential_distribution/cons/parms.cc
......@@ -36,8 +36,21 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
using param_type = std::exponential_distribution<>::param_type;
const param_type p(0.5);
std::exponential_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef std::exponential_distribution<>::result_type result_type;
VERIFY( u.min() == 0.0 );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/extreme_value_distribution/cons/parms.cc
......@@ -37,8 +37,21 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
using param_type = std::extreme_value_distribution<>::param_type;
const param_type p(5.0, 2.0);
std::extreme_value_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef std::extreme_value_distribution<>::result_type result_type;
VERIFY( u.min() == std::numeric_limits<result_type>::lowest() );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/fisher_f_distribution/cons/parms.cc
......@@ -37,8 +37,21 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
using param_type = std::fisher_f_distribution<>::param_type;
const param_type p(0.75);
std::fisher_f_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef std::fisher_f_distribution<>::result_type result_type;
VERIFY( u.min() == 0.0 );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/gamma_distribution/cons/parms.cc
......@@ -37,8 +37,20 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
using param_type = std::gamma_distribution<>::param_type;
const param_type p(1.5, 3.0);
std::gamma_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef std::gamma_distribution<>::result_type result_type;
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/geometric_distribution/cons/parms.cc
......@@ -36,8 +36,20 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
using param_type = std::geometric_distribution<>::param_type;
const param_type p(0.75);
std::geometric_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef std::geometric_distribution<>::result_type result_type;
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/lognormal_distribution/cons/parms.cc
......@@ -37,8 +37,21 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
using param_type = std::lognormal_distribution<>::param_type;
const param_type p(5.0, 2.0);
std::lognormal_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef std::lognormal_distribution<>::result_type result_type;
VERIFY( u.min() == 0.0 );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/negative_binomial_distribution/cons/parms.cc
......@@ -37,8 +37,21 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
using param_type = std::negative_binomial_distribution<>::param_type;
const param_type p(3, 0.75);
std::negative_binomial_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef std::negative_binomial_distribution<>::result_type result_type;
VERIFY( u.min() == 0 );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/normal_distribution/cons/parms.cc
......@@ -37,8 +37,21 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
using param_type = std::normal_distribution<>::param_type;
const param_type p(5.0, 2.0);
std::normal_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef std::normal_distribution<>::result_type result_type;
VERIFY( u.min() == std::numeric_limits<result_type>::lowest() );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/poisson_distribution/cons/parms.cc
......@@ -36,8 +36,20 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
using param_type = std::poisson_distribution<>::param_type;
const param_type p(5.0);
std::poisson_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef std::poisson_distribution<>::result_type result_type;
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/student_t_distribution/cons/parms.cc
......@@ -36,8 +36,21 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
using param_type = std::student_t_distribution<>::param_type;
const param_type p(1.5);
std::student_t_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef std::student_t_distribution<>::result_type result_type;
VERIFY( u.min() == std::numeric_limits<result_type>::lowest() );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/uniform_int_distribution/cons/parms.cc
......@@ -36,8 +36,20 @@ test01()
VERIFY( u.max() == 20 );
}
void
test02()
{
using param_type = std::uniform_int_distribution<int>::param_type;
const param_type p(1, 20);
std::uniform_int_distribution<int> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
VERIFY( u.min() == 1 );
VERIFY( u.max() == 20 );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/uniform_real_distribution/cons/parms.cc
......@@ -36,8 +36,20 @@ test01()
VERIFY( u.max() == 5.0 );
}
void
test02()
{
using param_type = std::uniform_real_distribution<double>::param_type;
const param_type p(-5.0, 5.0);
std::uniform_real_distribution<double> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
VERIFY( u.min() == -5.0 );
VERIFY( u.max() == 5.0 );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/26_numerics/random/weibull_distribution/cons/parms.cc
......@@ -37,8 +37,20 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
using param_type = std::weibull_distribution<>::param_type;
const param_type p(2.0, 3.5);
std::weibull_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef std::weibull_distribution<>::result_type result_type;
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/ext/random/arcsine_distribution/cons/parms.cc
......@@ -33,9 +33,20 @@ test01()
VERIFY( u.max() == 3.0 );
}
int
main()
void
test02()
{
using param_type = __gnu_cxx::arcsine_distribution<>::param_type;
const param_type p(-1.5, 3.0);
__gnu_cxx::arcsine_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
VERIFY( u.min() == -1.5 );
VERIFY( u.max() == 3.0 );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/ext/random/beta_distribution/cons/parms.cc
......@@ -34,8 +34,20 @@ test01()
VERIFY( u.max() == 1.0 );
}
void
test02()
{
using param_type = __gnu_cxx::beta_distribution<>::param_type;
const param_type p(1.5, 3.0);
__gnu_cxx::beta_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
VERIFY( u.min() == 0.0 );
VERIFY( u.max() == 1.0 );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/ext/random/hoyt_distribution/cons/parms.cc
......@@ -34,9 +34,20 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int
main()
void
test02()
{
using param_type = __gnu_cxx::hoyt_distribution<>::param_type;
const param_type p(0.05, 3.0);
__gnu_cxx::hoyt_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef __gnu_cxx::hoyt_distribution<>::result_type result_type;
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/ext/random/hypergeometric_distribution/cons/parms.cc
......@@ -37,9 +37,20 @@ test01()
VERIFY( u.max() == 2 );
}
int
main()
void
test02()
{
using param_type = __gnu_cxx::hypergeometric_distribution<>::param_type;
const param_type p(15, 3, 2);
__gnu_cxx::hypergeometric_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
VERIFY( u.min() == 0 );
VERIFY( u.max() == 2 );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/ext/random/k_distribution/cons/parms.cc
......@@ -38,9 +38,20 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int
main()
void
test02()
{
using param_type = __gnu_cxx::k_distribution<>::param_type;
const param_type p(2.0, 1.5, 3.0);
__gnu_cxx::k_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef __gnu_cxx::k_distribution<>::result_type result_type;
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/ext/random/logistic_distribution/cons/parms.cc
......@@ -38,9 +38,22 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int
main()
void
test02()
{
using param_type = __gnu_cxx::logistic_distribution<>::param_type;
const param_type p(1.5, 3.0);
__gnu_cxx::logistic_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef __gnu_cxx::logistic_distribution<>::result_type result_type;
VERIFY( u.min() == -std::numeric_limits<result_type>::max() );
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/ext/random/nakagami_distribution/cons/parms.cc
......@@ -37,9 +37,20 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int
main()
void
test02()
{
using param_type = __gnu_cxx::nakagami_distribution<>::param_type;
const param_type p(1.5, 3.0);
__gnu_cxx::nakagami_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef __gnu_cxx::nakagami_distribution<>::result_type result_type;
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/ext/random/normal_mv_distribution/cons/parms.cc
......@@ -40,8 +40,23 @@ test01()
VERIFY( u.max()[1] == std::numeric_limits<result_type::value_type>::max() );
}
void
test02()
{
using param_type = __gnu_cxx::normal_mv_distribution<2>::param_type;
const param_type p({5.0, 4.0}, {4.0, 9.0});
__gnu_cxx::normal_mv_distribution<2> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef __gnu_cxx::normal_mv_distribution<2>::result_type result_type;
VERIFY( u.min()[0] == std::numeric_limits<result_type::value_type>::lowest() );
VERIFY( u.max()[0] == std::numeric_limits<result_type::value_type>::max() );
VERIFY( u.min()[1] == std::numeric_limits<result_type::value_type>::lowest() );
VERIFY( u.max()[1] == std::numeric_limits<result_type::value_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/ext/random/pareto_distribution/cons/parms.cc
......@@ -37,9 +37,20 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int
main()
void
test02()
{
using param_type = __gnu_cxx::pareto_distribution<>::param_type;
const param_type p(1.5, 3.0);
__gnu_cxx::pareto_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef __gnu_cxx::pareto_distribution<>::result_type result_type;
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/ext/random/rice_distribution/cons/parms.cc
......@@ -37,9 +37,20 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int
main()
void
test02()
{
using param_type = __gnu_cxx::rice_distribution<>::param_type;
const param_type p(1.5, 3.0);
__gnu_cxx::rice_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
typedef __gnu_cxx::rice_distribution<>::result_type result_type;
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/ext/random/triangular_distribution/cons/parms.cc
......@@ -35,8 +35,20 @@ test01()
VERIFY( u.max() == 3.5 );
}
void
test02()
{
using param_type = __gnu_cxx::triangular_distribution<>::param_type;
const param_type p(1.5, 3.0, 3.5);
__gnu_cxx::triangular_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
VERIFY( u.min() == 1.5 );
VERIFY( u.max() == 3.5 );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/ext/random/uniform_inside_sphere_distribution/cons/parms.cc
......@@ -27,8 +27,6 @@
void
test01()
{
bool test [[gnu::unused]] = true;
__gnu_cxx::uniform_inside_sphere_distribution<2> u(1.5);
VERIFY( u.radius() == 1.5 );
......@@ -36,9 +34,19 @@ test01()
VERIFY( v.radius() == 3.0 );
}
int
main()
void
test02()
{
using param_type
= __gnu_cxx::uniform_inside_sphere_distribution<2>::param_type;
const param_type p(1.5);
__gnu_cxx::uniform_inside_sphere_distribution<2> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
}
int main()
{
test01();
return 0;
test02();
}
libstdc++-v3/testsuite/ext/random/von_mises_distribution/cons/parms.cc
......@@ -34,8 +34,20 @@ test01()
VERIFY( u.max() == __gnu_cxx::__math_constants<double>::__pi );
}
void
test02()
{
using param_type = __gnu_cxx::von_mises_distribution<>::param_type;
const param_type p(1.5, 3.0);
__gnu_cxx::von_mises_distribution<> u(p);
VERIFY( u.param() == p );
VERIFY( u.param() != param_type{} );
VERIFY( u.min() == -__gnu_cxx::__math_constants<double>::__pi );
VERIFY( u.max() == __gnu_cxx::__math_constants<double>::__pi );
}
int main()
{
test01();
return 0;
test02();
}
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