P0935R0 Eradicating unnecessarily explicit default constructors

Explicit default constructors are problematic, so this change removes
them from <random> and <ext/random>, as per P0935R0.

	* include/bits/random.h (linear_congruential_engine)
	(mersenne_twister_engine, subtract_with_carry_engine, random_device)
	(uniform_real_distribution, normal_distribution)
	(lognormal_distribution, gamma_distribution, chi_squared_distribution)
	(cauchy_distribution, fisher_f_distribution, student_t_distribution)
	(bernoulli_distribution, binomial_distribution,geometric_distribution)
	(negative_binomial_distribution, exponential_distribution)
	(weibull_distribution, extreme_value_distribution): Add non-explicit
	default constructors. Remove default argument for first parameter of
	explicit constructors.
	(piecewise_constant_distribution, piecewise_linear_distribution):
	Make default constructor non-explicit.
	* include/bits/uniform_int_dist.h (uniform_int_distribution): Add
	non-explicit default constructors. Remove default argument for first
	parameter of explicit constructor.
	(simd_fast_mersenne_twister_engine, beta_distribution)
	(rice_distribution, nakagami_distribution, pareto_distribution)
	(k_distribution, arcsine_distribution, hoyt_distribution)
	(triangular_distribution, von_mises_distribution)
	(hypergeometric_distribution, logistic_distribution)
	(uniform_inside_sphere_distribution): Likewise.
	(uniform_on_sphere_distribution): Make default constructor
	non-explicit.
	* testsuite/26_numerics/random/bernoulli_distribution/cons/default.cc:
	Test for non-explicit default constructor. Fix references to standard.
	* testsuite/26_numerics/random/binomial_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/cauchy_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/chi_squared_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/discrete_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/exponential_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/extreme_value_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/fisher_f_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/gamma_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/geometric_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/lognormal_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/negative_binomial_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/normal_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/piecewise_constant_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/piecewise_linear_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/poisson_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/student_t_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/uniform_int_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/uniform_real_distribution/cons/default.cc:
	Likewise.
	* testsuite/26_numerics/random/weibull_distribution/cons/default.cc:
	Likewise.
	* testsuite/ext/random/arcsine_distribution/cons/default.cc: Likewise.
	* testsuite/ext/random/beta_distribution/cons/default.cc: Likewise.
	* testsuite/ext/random/hoyt_distribution/cons/default.cc: Likewise.
	* testsuite/ext/random/hypergeometric_distribution/cons/default.cc:
	Likewise.
	* testsuite/ext/random/k_distribution/cons/default.cc: Likewise.
	* testsuite/ext/random/logistic_distribution/cons/default.cc: Likewise.
	* testsuite/ext/random/nakagami_distribution/cons/default.cc: Likewise.
	* testsuite/ext/random/normal_mv_distribution/cons/default.cc:
	Likewise.
	* testsuite/ext/random/pareto_distribution/cons/default.cc: Likewise.
	* testsuite/ext/random/rice_distribution/cons/default.cc: Likewise.
	* testsuite/ext/random/triangular_distribution/cons/default.cc:
	Likewise.
	* testsuite/ext/random/uniform_inside_sphere_distribution/cons/default.cc:
	Likewise.
	* testsuite/ext/random/uniform_on_sphere_distribution/cons/default.cc:
	Likewise.
	* testsuite/ext/random/von_mises_distribution/cons/default.cc:
	Likewise.
	* testsuite/util/testsuite_common_types.h
	(implicitly_default_constructible): New helper.

From-SVN: r261522
This commit is contained in:
Jonathan Wakely 2018-06-12 20:10:55 +01:00 committed by Jonathan Wakely
parent b80a188bee
commit dd9db6f897
39 changed files with 671 additions and 146 deletions

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@ -1,3 +1,92 @@
2018-06-12 Jonathan Wakely <jwakely@redhat.com>
P0935R0 Eradicating unnecessarily explicit default constructors
* include/bits/random.h (linear_congruential_engine)
(mersenne_twister_engine, subtract_with_carry_engine, random_device)
(uniform_real_distribution, normal_distribution)
(lognormal_distribution, gamma_distribution, chi_squared_distribution)
(cauchy_distribution, fisher_f_distribution, student_t_distribution)
(bernoulli_distribution, binomial_distribution,geometric_distribution)
(negative_binomial_distribution, exponential_distribution)
(weibull_distribution, extreme_value_distribution): Add non-explicit
default constructors. Remove default argument for first parameter of
explicit constructors.
(piecewise_constant_distribution, piecewise_linear_distribution):
Make default constructor non-explicit.
* include/bits/uniform_int_dist.h (uniform_int_distribution): Add
non-explicit default constructors. Remove default argument for first
parameter of explicit constructor.
(simd_fast_mersenne_twister_engine, beta_distribution)
(rice_distribution, nakagami_distribution, pareto_distribution)
(k_distribution, arcsine_distribution, hoyt_distribution)
(triangular_distribution, von_mises_distribution)
(hypergeometric_distribution, logistic_distribution)
(uniform_inside_sphere_distribution): Likewise.
(uniform_on_sphere_distribution): Make default constructor
non-explicit.
* testsuite/26_numerics/random/bernoulli_distribution/cons/default.cc:
Test for non-explicit default constructor. Fix references to standard.
* testsuite/26_numerics/random/binomial_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/cauchy_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/chi_squared_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/discrete_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/exponential_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/extreme_value_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/fisher_f_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/gamma_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/geometric_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/lognormal_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/negative_binomial_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/normal_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/piecewise_constant_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/piecewise_linear_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/poisson_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/student_t_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/uniform_int_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/uniform_real_distribution/cons/default.cc:
Likewise.
* testsuite/26_numerics/random/weibull_distribution/cons/default.cc:
Likewise.
* testsuite/ext/random/arcsine_distribution/cons/default.cc: Likewise.
* testsuite/ext/random/beta_distribution/cons/default.cc: Likewise.
* testsuite/ext/random/hoyt_distribution/cons/default.cc: Likewise.
* testsuite/ext/random/hypergeometric_distribution/cons/default.cc:
Likewise.
* testsuite/ext/random/k_distribution/cons/default.cc: Likewise.
* testsuite/ext/random/logistic_distribution/cons/default.cc: Likewise.
* testsuite/ext/random/nakagami_distribution/cons/default.cc: Likewise.
* testsuite/ext/random/normal_mv_distribution/cons/default.cc:
Likewise.
* testsuite/ext/random/pareto_distribution/cons/default.cc: Likewise.
* testsuite/ext/random/rice_distribution/cons/default.cc: Likewise.
* testsuite/ext/random/triangular_distribution/cons/default.cc:
Likewise.
* testsuite/ext/random/uniform_inside_sphere_distribution/cons/default.cc:
Likewise.
* testsuite/ext/random/uniform_on_sphere_distribution/cons/default.cc:
Likewise.
* testsuite/ext/random/von_mises_distribution/cons/default.cc:
Likewise.
* testsuite/util/testsuite_common_types.h
(implicitly_default_constructible): New helper.
2018-06-08 Jonathan Wakely <jwakely@redhat.com>
* include/bits/ios_base.h (ios::Init::Init(const Init&))

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@ -264,6 +264,13 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
static constexpr result_type modulus = __m;
static constexpr result_type default_seed = 1u;
/**
* @brief Constructs a %linear_congruential_engine random number
* generator engine with seed 1.
*/
linear_congruential_engine() : linear_congruential_engine(default_seed)
{ }
/**
* @brief Constructs a %linear_congruential_engine random number
* generator engine with seed @p __s. The default seed value
@ -272,7 +279,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
* @param __s The initial seed value.
*/
explicit
linear_congruential_engine(result_type __s = default_seed)
linear_congruential_engine(result_type __s)
{ seed(__s); }
/**
@ -504,9 +511,12 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
static constexpr result_type initialization_multiplier = __f;
static constexpr result_type default_seed = 5489u;
// constructors and member function
// constructors and member functions
mersenne_twister_engine() : mersenne_twister_engine(default_seed) { }
explicit
mersenne_twister_engine(result_type __sd = default_seed)
mersenne_twister_engine(result_type __sd)
{ seed(__sd); }
/**
@ -691,12 +701,15 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
static constexpr size_t long_lag = __r;
static constexpr result_type default_seed = 19780503u;
subtract_with_carry_engine() : subtract_with_carry_engine(default_seed)
{ }
/**
* @brief Constructs an explicitly seeded % subtract_with_carry_engine
* @brief Constructs an explicitly seeded %subtract_with_carry_engine
* random number generator.
*/
explicit
subtract_with_carry_engine(result_type __sd = default_seed)
subtract_with_carry_engine(result_type __sd)
{ seed(__sd); }
/**
@ -1590,24 +1603,19 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
// constructors, destructors and member functions
#ifdef _GLIBCXX_USE_RANDOM_TR1
random_device() { _M_init("default"); }
explicit
random_device(const std::string& __token = "default")
{
_M_init(__token);
}
random_device(const std::string& __token) { _M_init(__token); }
~random_device()
{ _M_fini(); }
#else
random_device() { _M_init("mt19937"); }
explicit
random_device(const std::string& __token = "mt19937")
{ _M_init_pretr1(__token); }
public:
#endif
static constexpr result_type
@ -1767,6 +1775,13 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
};
public:
/**
* @brief Constructs a uniform_real_distribution object.
*
* The lower bound is set to 0.0 and the upper bound to 1.0
*/
uniform_real_distribution() : uniform_real_distribution(0.0) { }
/**
* @brief Constructs a uniform_real_distribution object.
*
@ -1774,8 +1789,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
* @param __b [IN] The upper bound of the distribution.
*/
explicit
uniform_real_distribution(_RealType __a = _RealType(0),
_RealType __b = _RealType(1))
uniform_real_distribution(_RealType __a, _RealType __b = _RealType(1))
: _M_param(__a, __b)
{ }
@ -1991,12 +2005,14 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
};
public:
normal_distribution() : normal_distribution(0.0) { }
/**
* Constructs a normal distribution with parameters @f$mean@f$ and
* standard deviation.
*/
explicit
normal_distribution(result_type __mean = result_type(0),
normal_distribution(result_type __mean,
result_type __stddev = result_type(1))
: _M_param(__mean, __stddev), _M_saved_available(false)
{ }
@ -2205,9 +2221,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
_RealType _M_s;
};
lognormal_distribution() : lognormal_distribution(0.0) { }
explicit
lognormal_distribution(_RealType __m = _RealType(0),
_RealType __s = _RealType(1))
lognormal_distribution(_RealType __m, _RealType __s = _RealType(1))
: _M_param(__m, __s), _M_nd()
{ }
@ -2425,12 +2442,17 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
};
public:
/**
* @brief Constructs a gamma distribution with parameters 1 and 1.
*/
gamma_distribution() : gamma_distribution(1.0) { }
/**
* @brief Constructs a gamma distribution with parameters
* @f$\alpha@f$ and @f$\beta@f$.
*/
explicit
gamma_distribution(_RealType __alpha_val = _RealType(1),
gamma_distribution(_RealType __alpha_val,
_RealType __beta_val = _RealType(1))
: _M_param(__alpha_val, __beta_val), _M_nd()
{ }
@ -2630,8 +2652,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
_RealType _M_n;
};
chi_squared_distribution() : chi_squared_distribution(1) { }
explicit
chi_squared_distribution(_RealType __n = _RealType(1))
chi_squared_distribution(_RealType __n)
: _M_param(__n), _M_gd(__n / 2)
{ }
@ -2856,9 +2880,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
_RealType _M_b;
};
cauchy_distribution() : cauchy_distribution(0.0) { }
explicit
cauchy_distribution(_RealType __a = _RealType(0),
_RealType __b = _RealType(1))
cauchy_distribution(_RealType __a, _RealType __b = 1.0)
: _M_param(__a, __b)
{ }
@ -3062,8 +3087,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
_RealType _M_n;
};
fisher_f_distribution() : fisher_f_distribution(1.0) { }
explicit
fisher_f_distribution(_RealType __m = _RealType(1),
fisher_f_distribution(_RealType __m,
_RealType __n = _RealType(1))
: _M_param(__m, __n), _M_gd_x(__m / 2), _M_gd_y(__n / 2)
{ }
@ -3285,8 +3312,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
_RealType _M_n;
};
student_t_distribution() : student_t_distribution(1.0) { }
explicit
student_t_distribution(_RealType __n = _RealType(1))
student_t_distribution(_RealType __n)
: _M_param(__n), _M_nd(), _M_gd(__n / 2, 2)
{ }
@ -3508,6 +3537,11 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
};
public:
/**
* @brief Constructs a Bernoulli distribution with likelihood 0.5.
*/
bernoulli_distribution() : bernoulli_distribution(0.5) { }
/**
* @brief Constructs a Bernoulli distribution with likelihood @p p.
*
@ -3515,7 +3549,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
* Must be in the interval @f$[0, 1]@f$.
*/
explicit
bernoulli_distribution(double __p = 0.5)
bernoulli_distribution(double __p)
: _M_param(__p)
{ }
@ -3739,10 +3773,12 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
bool _M_easy;
};
// constructors and member function
// constructors and member functions
binomial_distribution() : binomial_distribution(1) { }
explicit
binomial_distribution(_IntType __t = _IntType(1),
double __p = 0.5)
binomial_distribution(_IntType __t, double __p = 0.5)
: _M_param(__t, __p), _M_nd()
{ }
@ -3964,9 +4000,12 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
double _M_log_1_p;
};
// constructors and member function
// constructors and member functions
geometric_distribution() : geometric_distribution(0.5) { }
explicit
geometric_distribution(double __p = 0.5)
geometric_distribution(double __p)
: _M_param(__p)
{ }
@ -4166,8 +4205,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
double _M_p;
};
negative_binomial_distribution() : negative_binomial_distribution(1) { }
explicit
negative_binomial_distribution(_IntType __k = 1, double __p = 0.5)
negative_binomial_distribution(_IntType __k, double __p = 0.5)
: _M_param(__k, __p), _M_gd(__k, (1.0 - __p) / __p)
{ }
@ -4399,9 +4440,12 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
#endif
};
// constructors and member function
// constructors and member functions
poisson_distribution() : poisson_distribution(1.0) { }
explicit
poisson_distribution(double __mean = 1.0)
poisson_distribution(double __mean)
: _M_param(__mean), _M_nd()
{ }
@ -4610,12 +4654,18 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
};
public:
/**
* @brief Constructs an exponential distribution with inverse scale
* parameter 1.0
*/
exponential_distribution() : exponential_distribution(1.0) { }
/**
* @brief Constructs an exponential distribution with inverse scale
* parameter @f$\lambda@f$.
*/
explicit
exponential_distribution(const result_type& __lambda = result_type(1))
exponential_distribution(_RealType __lambda)
: _M_param(__lambda)
{ }
@ -4820,9 +4870,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
_RealType _M_b;
};
weibull_distribution() : weibull_distribution(1.0) { }
explicit
weibull_distribution(_RealType __a = _RealType(1),
_RealType __b = _RealType(1))
weibull_distribution(_RealType __a, _RealType __b = _RealType(1))
: _M_param(__a, __b)
{ }
@ -5028,9 +5079,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
_RealType _M_b;
};
extreme_value_distribution() : extreme_value_distribution(0.0) { }
explicit
extreme_value_distribution(_RealType __a = _RealType(0),
_RealType __b = _RealType(1))
extreme_value_distribution(_RealType __a, _RealType __b = _RealType(1))
: _M_param(__a, __b)
{ }
@ -5496,7 +5548,6 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
std::vector<double> _M_cp;
};
explicit
piecewise_constant_distribution()
: _M_param()
{ }
@ -5769,7 +5820,6 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
std::vector<double> _M_m;
};
explicit
piecewise_linear_distribution()
: _M_param()
{ }

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@ -98,11 +98,16 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
};
public:
/**
* @brief Constructs a uniform distribution object.
*/
uniform_int_distribution() : uniform_int_distribution(0) { }
/**
* @brief Constructs a uniform distribution object.
*/
explicit
uniform_int_distribution(_IntType __a = 0,
uniform_int_distribution(_IntType __a,
_IntType __b = std::numeric_limits<_IntType>::max())
: _M_param(__a, __b)
{ }

View File

@ -96,9 +96,14 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
/ sizeof(result_type));
static constexpr result_type default_seed = 5489u;
// constructors and member function
// constructors and member functions
simd_fast_mersenne_twister_engine()
: simd_fast_mersenne_twister_engine(default_seed)
{ }
explicit
simd_fast_mersenne_twister_engine(result_type __sd = default_seed)
simd_fast_mersenne_twister_engine(result_type __sd)
{ seed(__sd); }
template<typename _Sseq, typename = _If_seed_seq<_Sseq>>
@ -454,12 +459,14 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
};
public:
beta_distribution() : beta_distribution(1.0) { }
/**
* @brief Constructs a beta distribution with parameters
* @f$\alpha@f$ and @f$\beta@f$.
*/
explicit
beta_distribution(_RealType __alpha_val = _RealType(1),
beta_distribution(_RealType __alpha_val,
_RealType __beta_val = _RealType(1))
: _M_param(__alpha_val, __beta_val)
{ }
@ -998,9 +1005,13 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
/**
* @brief Constructors.
* @{
*/
rice_distribution() : rice_distribution(0) { }
explicit
rice_distribution(result_type __nu_val = result_type(0),
rice_distribution(result_type __nu_val,
result_type __sigma_val = result_type(1))
: _M_param(__nu_val, __sigma_val),
_M_ndx(__nu_val, __sigma_val),
@ -1014,6 +1025,8 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
_M_ndy(result_type(0), __p.sigma())
{ }
// @}
/**
* @brief Resets the distribution state.
*/
@ -1244,9 +1257,13 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
/**
* @brief Constructors.
* @{
*/
nakagami_distribution() : nakagami_distribution(1) { }
explicit
nakagami_distribution(result_type __mu_val = result_type(1),
nakagami_distribution(result_type __mu_val,
result_type __omega_val = result_type(1))
: _M_param(__mu_val, __omega_val),
_M_gd(__mu_val, __omega_val / __mu_val)
@ -1258,6 +1275,8 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
_M_gd(__p.mu(), __p.omega() / __p.mu())
{ }
// @}
/**
* @brief Resets the distribution state.
*/
@ -1481,9 +1500,13 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
/**
* @brief Constructors.
* @{
*/
pareto_distribution() : pareto_distribution(1) { }
explicit
pareto_distribution(result_type __alpha_val = result_type(1),
pareto_distribution(result_type __alpha_val,
result_type __mu_val = result_type(1))
: _M_param(__alpha_val, __mu_val),
_M_ud()
@ -1495,6 +1518,8 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
_M_ud()
{ }
// @}
/**
* @brief Resets the distribution state.
*/
@ -1731,9 +1756,13 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
/**
* @brief Constructors.
* @{
*/
k_distribution() : k_distribution(1) { }
explicit
k_distribution(result_type __lambda_val = result_type(1),
k_distribution(result_type __lambda_val,
result_type __mu_val = result_type(1),
result_type __nu_val = result_type(1))
: _M_param(__lambda_val, __mu_val, __nu_val),
@ -1748,6 +1777,8 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
_M_gd2(__p.nu(), __p.mu() / __p.nu())
{ }
// @}
/**
* @brief Resets the distribution state.
*/
@ -1965,10 +1996,13 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
/**
* @brief Constructors.
* :{
*/
arcsine_distribution() : arcsine_distribution(0) { }
explicit
arcsine_distribution(result_type __a = result_type(0),
result_type __b = result_type(1))
arcsine_distribution(result_type __a, result_type __b = result_type(1))
: _M_param(__a, __b),
_M_ud(-1.5707963267948966192313216916397514L,
+1.5707963267948966192313216916397514L)
@ -1981,6 +2015,8 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
+1.5707963267948966192313216916397514L)
{ }
// @}
/**
* @brief Resets the distribution state.
*/
@ -2207,10 +2243,13 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
/**
* @brief Constructors.
* @{
*/
hoyt_distribution() : hoyt_distribution(0.5) { }
explicit
hoyt_distribution(result_type __q = result_type(0.5L),
result_type __omega = result_type(1))
hoyt_distribution(result_type __q, result_type __omega = result_type(1))
: _M_param(__q, __omega),
_M_ad(result_type(0.5L) * (result_type(1) + __q * __q),
result_type(0.5L) * (result_type(1) + __q * __q)
@ -2459,12 +2498,14 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
_RealType _M_f_bc_ac;
};
triangular_distribution() : triangular_distribution(0.0) { }
/**
* @brief Constructs a triangle distribution with parameters
* @f$ a @f$, @f$ b @f$ and @f$ c @f$.
*/
explicit
triangular_distribution(result_type __a = result_type(0),
triangular_distribution(result_type __a,
result_type __b = result_type(0.5),
result_type __c = result_type(1))
: _M_param(__a, __b, __c)
@ -2668,6 +2709,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
public:
/** The type of the range of the distribution. */
typedef _RealType result_type;
/** Parameter type. */
struct param_type
{
@ -2711,14 +2753,16 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
_RealType _M_r;
};
von_mises_distribution() : von_mises_distribution(0.0) { }
/**
* @brief Constructs a von Mises distribution with parameters
* @f$\mu@f$ and @f$\kappa@f$.
*/
explicit
von_mises_distribution(result_type __mu = result_type(0),
von_mises_distribution(result_type __mu,
result_type __kappa = result_type(1))
: _M_param(__mu, __kappa)
: _M_param(__mu, __kappa)
{ }
explicit
@ -2956,9 +3000,12 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
result_type _M_n;
};
// constructors and member function
// constructors and member functions
hypergeometric_distribution() : hypergeometric_distribution(10) { }
explicit
hypergeometric_distribution(result_type __N = 10, result_type __K = 5,
hypergeometric_distribution(result_type __N, result_type __K = 5,
result_type __n = 1)
: _M_param{__N, __K, __n}
{ }
@ -3209,10 +3256,12 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
/**
* @brief Constructors.
* @{
*/
logistic_distribution() : logistic_distribution(0.0) { }
explicit
logistic_distribution(result_type __a = result_type(0),
result_type __b = result_type(1))
logistic_distribution(result_type __a, result_type __b = result_type(1))
: _M_param(__a, __b)
{ }
@ -3221,6 +3270,8 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
: _M_param(__p)
{ }
// @}
/**
* @brief Resets the distribution state.
*/
@ -3401,7 +3452,6 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
/**
* @brief Constructs a uniform on sphere distribution.
*/
explicit
uniform_on_sphere_distribution()
: _M_param(), _M_nd()
{ }
@ -3609,9 +3659,15 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
/**
* @brief Constructors.
* @{
*/
uniform_inside_sphere_distribution()
: uniform_inside_sphere_distribution(1.0)
{ }
explicit
uniform_inside_sphere_distribution(_RealType __radius = _RealType(1))
uniform_inside_sphere_distribution(_RealType __radius)
: _M_param(__radius), _M_uosd()
{ }
@ -3620,6 +3676,8 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
: _M_param(__p), _M_uosd()
{ }
// @}
/**
* @brief Resets the distribution state.
*/

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.2.1 Class template bernoulli_distribution [rand.dist.bern.bernoulli]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.3.1 Class bernoulli_distribution [rand.dist.bern.bernoulli]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -35,8 +37,15 @@ test01()
VERIFY( u.max() == std::numeric_limits<bool>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::bernoulli_distribution>();
}
int main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.2.2 Class template binomial_distribution [rand.dist.bern.bin]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.3.2 Class template binomial_distribution [rand.dist.bern.bin]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -36,8 +38,15 @@ test01()
VERIFY( u.max() == u.t() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::binomial_distribution<>>();
}
int main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.4.4 Class template cauchy_distribution [rand.dist.norm.cauchy]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.5.4 Class template cauchy_distribution [rand.dist.norm.cauchy]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -37,8 +39,15 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::cauchy_distribution<>>();
}
int main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.4.3 Class template chi_squared_distribution [rand.dist.norm.chisq]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.5.3 Class template chi_squared_distribution [rand.dist.norm.chisq]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -36,8 +38,15 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::chi_squared_distribution<>>();
}
int main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.5.1 Class template discrete_distribution [rand.dist.samp.discrete]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.6.1 Class template discrete_distribution [rand.dist.samp.discrete]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -35,8 +37,15 @@ test01()
VERIFY( probablility[0] == 1.0 );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::discrete_distribution<>>();
}
int main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.3.2 Class template exponential_distribution [rand.dist.pois.exp]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.4.2 Class template exponential_distribution [rand.dist.pois.exp]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -36,8 +38,15 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::exponential_distribution<>>();
}
int main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.3.5 Class template extreme_value_distribution [rand.dist.pois.extreme]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.4.5 Class template extreme_value_distribution [rand.dist.pois.extreme]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -37,8 +39,15 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::extreme_value_distribution<>>();
}
int main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.4.5 Class template fisher_f_distribution [rand.dist.norm.f]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.5.5 Class template fisher_f_distribution [rand.dist.norm.f]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -37,8 +39,15 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::fisher_f_distribution<>>();
}
int main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.3.3 Class template gamma_distribution [rand.dist.pois.gamma]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.4.3 Class template gamma_distribution [rand.dist.pois.gamma]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -37,8 +39,15 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::gamma_distribution<>>();
}
int main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.2.3 Class template geometric_distribution [rand.dist.bern.geo]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.3.3 Class template geometric_distribution [rand.dist.bern.geo]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -36,8 +38,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::geometric_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.4.2 Class template lognormal_distribution [rand.dist.norm.lognormal]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.5.2 Class template lognormal_distribution [rand.dist.norm.lognormal]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -37,8 +39,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::lognormal_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.2.4 Class template negative_binomial_distribution [rand.dist.bern.negbin]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.3.4 Class template negative_binomial_distribution [rand.dist.bern.negbin]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -37,8 +39,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::negative_binomial_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.4.1 Class template normal_distribution [rand.dist.norm.normal]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.5.1 Class template normal_distribution [rand.dist.norm.normal]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -37,8 +39,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::normal_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.5.2 Class template piecewise_constant_distribution [rand.dist.samp.pconst]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.6.2 Class template piecewise_constant_distribution [rand.dist.samp.pconst]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -39,8 +41,16 @@ test01()
VERIFY( density[0] == 1.0 );
}
int main()
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::piecewise_constant_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.5.3 Class template piecewise_linear_distribution [rand.dist.samp.plinear]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.6.3 Class template piecewise_linear_distribution [rand.dist.samp.plinear]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -40,8 +42,16 @@ test01()
VERIFY( density[1] == 1.0 );
}
int main()
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::piecewise_linear_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.3.1 Class template poisson_distribution [rand.dist.pois.poisson]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.4.1 Class template poisson_distribution [rand.dist.pois.poisson]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -36,8 +38,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::poisson_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.4.6 Class template student_t_distribution [rand.dist.norm.t]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.5.6 Class template student_t_distribution [rand.dist.norm.t]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -36,8 +38,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::student_t_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -20,12 +20,14 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.1.1 Class template uniform_int_distribution [rand.dist.uni.int]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.2.1 Class template uniform_int_distribution [rand.dist.uni.int]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <limits>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -37,8 +39,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<int>::max() );
}
int main()
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::uniform_int_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.1.1 Class template uniform_real_distribution [rand.dist.uni.real]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.2.2 Class template uniform_real_distribution [rand.dist.uni.real]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -36,8 +38,16 @@ test01()
VERIFY( u.max() == 1.0 );
}
int main()
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::uniform_real_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -20,11 +20,13 @@
// with this library; see the file COPYING3. If not see
// <http://www.gnu.org/licenses/>.
// 26.4.8.3.4 Class template weibull_distribution [rand.dist.pois.weibull]
// 26.4.2.4 Concept RandomNumberDistribution [rand.concept.dist]
// C++11
// 26.5.8.4.4 Class template weibull_distribution [rand.dist.pois.weibull]
// 26.5.1.6 random number distribution requirements [rand.req.dist]
#include <random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -37,8 +39,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
int main()
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::weibull_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -22,6 +22,7 @@
#include <ext/random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -33,9 +34,16 @@ test01()
VERIFY( u.max() == 1.0 );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::arcsine_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -23,6 +23,7 @@
#include <ext/random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -34,8 +35,15 @@ test01()
VERIFY( u.max() == 1.0 );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::beta_distribution<>>();
}
int main()
{
test01();
return 0;
test02();
}

View File

@ -22,6 +22,7 @@
#include <ext/random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -34,9 +35,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::hoyt_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -25,6 +25,7 @@
#include <ext/random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -37,9 +38,16 @@ test01()
VERIFY( u.max() == 1 );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::hypergeometric_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -25,6 +25,7 @@
#include <ext/random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -38,9 +39,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::k_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -25,6 +25,7 @@
#include <ext/random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -38,9 +39,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::logistic_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -25,6 +25,7 @@
#include <ext/random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -37,9 +38,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::nakagami_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -23,6 +23,7 @@
#include <ext/random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -40,8 +41,15 @@ test01()
VERIFY( u.max()[1] == std::numeric_limits<result_type::value_type>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::normal_mv_distribution<2>>();
}
int main()
{
test01();
return 0;
test02();
}

View File

@ -25,6 +25,7 @@
#include <ext/random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -37,9 +38,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::pareto_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -25,6 +25,7 @@
#include <ext/random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -37,9 +38,16 @@ test01()
VERIFY( u.max() == std::numeric_limits<result_type>::max() );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::rice_distribution<>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -23,6 +23,7 @@
#include <ext/random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -35,8 +36,15 @@ test01()
VERIFY( u.max() == 1.0 );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::triangular_distribution<>>();
}
int main()
{
test01();
return 0;
test02();
}

View File

@ -23,6 +23,7 @@
#include <ext/random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -35,9 +36,16 @@ test01()
__gnu_cxx::uniform_inside_sphere_distribution<5, float> u5;
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::uniform_inside_sphere_distribution<2>>();
}
int
main()
{
test01();
return 0;
test02();
}

View File

@ -24,6 +24,7 @@
// 26.5.1.6 Random number distribution requirements [rand.req.dist]
#include <ext/random>
#include <testsuite_common_types.h>
void
test01()
@ -34,9 +35,16 @@ test01()
__gnu_cxx::uniform_on_sphere_distribution<5, float> u5;
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::uniform_on_sphere_distribution<2>>();
}
int
main()
{
test01();
return 0;
test02();
}

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@ -23,6 +23,7 @@
#include <ext/random>
#include <testsuite_hooks.h>
#include <testsuite_common_types.h>
void
test01()
@ -34,8 +35,15 @@ test01()
VERIFY( u.max() == __gnu_cxx::__math_constants<double>::__pi );
}
void
test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::von_mises_distribution<>>();
}
int main()
{
test01();
return 0;
test02();
}

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@ -687,6 +687,26 @@ namespace __gnu_test
};
#if __cplusplus >= 201103L
// Generator to test non-explicit default constructor.
struct implicitly_default_constructible
{
template<typename _Tp>
void
operator()()
{
struct _Concept
{
struct Aggregate { _Tp v; };
void __constraint()
{ Aggregate __v __attribute__((unused)) = { }; }
};
void (_Concept::*__x)() __attribute__((unused))
= &_Concept::__constraint;
}
};
// Generator to test default constructor.
struct constexpr_default_constructible
{