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

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/random.h

@@ -1707,6 +1707,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _RealType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -1732,6 +1733,10 @@ _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:
 	_RealType _M_a;
 	_RealType _M_b;
@@ -1925,6 +1930,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _RealType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -1951,6 +1957,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
 	{ return (__p1._M_mean == __p2._M_mean
 		  && __p1._M_stddev == __p2._M_stddev); }
 
+	friend bool
+	operator!=(const param_type& __p1, const param_type& __p2)
+	{ return !(__p1 == __p2); }
+
       private:
 	_RealType _M_mean;
 	_RealType _M_stddev;
@@ -2138,6 +2148,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _RealType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -2161,6 +2172,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
 	operator==(const param_type& __p1, const param_type& __p2)
 	{ return __p1._M_m == __p2._M_m && __p1._M_s == __p2._M_s; }
 
+	friend bool
+	operator!=(const param_type& __p1, const param_type& __p2)
+	{ return !(__p1 == __p2); }
+
       private:
 	_RealType _M_m;
 	_RealType _M_s;
@@ -2342,6 +2357,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _RealType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -2370,6 +2386,10 @@ _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();
@@ -2559,6 +2579,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _RealType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -2577,6 +2598,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
 	operator==(const param_type& __p1, const param_type& __p2)
 	{ return __p1._M_n == __p2._M_n; }
 
+	friend bool
+	operator!=(const param_type& __p1, const param_type& __p2)
+	{ return !(__p1 == __p2); }
+
       private:
 	_RealType _M_n;
       };
@@ -2769,6 +2794,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _RealType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -2792,6 +2818,10 @@ _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:
 	_RealType _M_a;
 	_RealType _M_b;
@@ -2970,6 +3000,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _RealType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -2993,6 +3024,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
 	operator==(const param_type& __p1, const param_type& __p2)
 	{ return __p1._M_m == __p2._M_m && __p1._M_n == __p2._M_n; }
 
+	friend bool
+	operator!=(const param_type& __p1, const param_type& __p2)
+	{ return !(__p1 == __p2); }
+
       private:
 	_RealType _M_m;
 	_RealType _M_n;
@@ -3194,6 +3229,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _RealType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -3212,6 +3248,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
 	operator==(const param_type& __p1, const param_type& __p2)
 	{ return __p1._M_n == __p2._M_n; }
 
+	friend bool
+	operator!=(const param_type& __p1, const param_type& __p2)
+	{ return !(__p1 == __p2); }
+
       private:
 	_RealType _M_n;
       };
@@ -3409,6 +3449,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
   public:
     /** The type of the range of the distribution. */
     typedef bool result_type;
+
     /** Parameter type. */
     struct param_type
     {
@@ -3429,6 +3470,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
       operator==(const param_type& __p1, const param_type& __p2)
       { return __p1._M_p == __p2._M_p; }
 
+      friend bool
+      operator!=(const param_type& __p1, const param_type& __p2)
+      { return !(__p1 == __p2); }
+
     private:
       double _M_p;
     };
@@ -3617,6 +3662,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _IntType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -3645,6 +3691,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
 	operator==(const param_type& __p1, const param_type& __p2)
 	{ return __p1._M_t == __p2._M_t && __p1._M_p == __p2._M_p; }
 
+	friend bool
+	operator!=(const param_type& __p1, const param_type& __p2)
+	{ return !(__p1 == __p2); }
+
       private:
 	void
 	_M_initialize();
@@ -3848,6 +3898,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _IntType  result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -3870,6 +3921,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
 	operator==(const param_type& __p1, const param_type& __p2)
 	{ return __p1._M_p == __p2._M_p; }
 
+	friend bool
+	operator!=(const param_type& __p1, const param_type& __p2)
+	{ return !(__p1 == __p2); }
+
       private:
 	void
 	_M_initialize()
@@ -4048,6 +4103,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _IntType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -4072,6 +4128,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
 	operator==(const param_type& __p1, const param_type& __p2)
 	{ return __p1._M_k == __p2._M_k && __p1._M_p == __p2._M_p; }
 
+	friend bool
+	operator!=(const param_type& __p1, const param_type& __p2)
+	{ return !(__p1 == __p2); }
+
       private:
 	_IntType _M_k;
 	double _M_p;
@@ -4270,6 +4330,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _IntType  result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -4292,6 +4353,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
 	operator==(const param_type& __p1, const param_type& __p2)
 	{ return __p1._M_mean == __p2._M_mean; }
 
+	friend bool
+	operator!=(const param_type& __p1, const param_type& __p2)
+	{ return !(__p1 == __p2); }
+
       private:
 	// Hosts either log(mean) or the threshold of the simple method.
 	void
@@ -4486,6 +4551,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _RealType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -4506,6 +4572,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
 	operator==(const param_type& __p1, const param_type& __p2)
 	{ return __p1._M_lambda == __p2._M_lambda; }
 
+	friend bool
+	operator!=(const param_type& __p1, const param_type& __p2)
+	{ return !(__p1 == __p2); }
+
       private:
 	_RealType _M_lambda;
       };
@@ -4688,6 +4758,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _RealType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -4711,6 +4782,10 @@ _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:
 	_RealType _M_a;
 	_RealType _M_b;
@@ -4891,6 +4966,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _RealType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -4914,6 +4990,10 @@ _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:
 	_RealType _M_a;
 	_RealType _M_b;
@@ -5091,6 +5171,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _IntType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -5127,6 +5208,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
 	operator==(const param_type& __p1, const param_type& __p2)
 	{ return __p1._M_prob == __p2._M_prob; }
 
+	friend bool
+	operator!=(const param_type& __p1, const param_type& __p2)
+	{ return !(__p1 == __p2); }
+
       private:
 	void
 	_M_initialize();
@@ -5321,6 +5406,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _RealType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -5368,6 +5454,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
 	operator==(const param_type& __p1, const param_type& __p2)
 	{ return __p1._M_int == __p2._M_int && __p1._M_den == __p2._M_den; }
 
+	friend bool
+	operator!=(const param_type& __p1, const param_type& __p2)
+	{ return !(__p1 == __p2); }
+
       private:
 	void
 	_M_initialize();
@@ -5588,6 +5678,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
     public:
       /** The type of the range of the distribution. */
       typedef _RealType result_type;
+
       /** Parameter type. */
       struct param_type
       {
@@ -5633,8 +5724,11 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
 
 	friend bool
 	operator==(const param_type& __p1, const param_type& __p2)
-	{ return (__p1._M_int == __p2._M_int
-		  && __p1._M_den == __p2._M_den); }
+	{ return __p1._M_int == __p2._M_int && __p1._M_den == __p2._M_den; }
+
+	friend bool
+	operator!=(const param_type& __p1, const param_type& __p2)
+	{ return !(__p1 == __p2); }
 
       private:
 	void

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();
 }