P0935R0 Eradicating unnecessarily explicit default constructors

The param_type constructors of each random number distribution should
mirror the constructors of the distribution itself, so make the same
changes w.r.t explicit on default constructors.

	* 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): Add non-explicit default
	constructors. Remove default argument for first parameter of explicit
	constructors.
	* 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_inside_sphere_distribution::param_type): Likewise.
	(uniform_on_sphere_distribution::param_type): Make default constructor
	non-explicit.
	* testsuite/26_numerics/random/bernoulli_distribution/cons/default.cc:
	Test param_type for non-explicit default constructor.
	* 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.

From-SVN: r261592
This commit is contained in:
Jonathan Wakely 2018-06-14 14:32:53 +01:00 committed by Jonathan Wakely
parent 8513bec38c
commit 977ac63eab
38 changed files with 217 additions and 47 deletions

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@ -1,3 +1,95 @@
2018-06-14 Jonathan Wakely <jwakely@redhat.com>
P0935R0 Eradicating unnecessarily explicit default constructors
* 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): Add non-explicit default
constructors. Remove default argument for first parameter of explicit
constructors.
* 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_inside_sphere_distribution::param_type): Likewise.
(uniform_on_sphere_distribution::param_type): Make default constructor
non-explicit.
* testsuite/26_numerics/random/bernoulli_distribution/cons/default.cc:
Test param_type for non-explicit default constructor.
* 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.
2018-06-14 Daniel Trebbien <dtrebbien@gmail.com>
Jonathan Wakely <jwakely@redhat.com>

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@ -1745,9 +1745,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef uniform_real_distribution<_RealType> distribution_type;
param_type() : param_type(0) { }
explicit
param_type(_RealType __a = _RealType(0),
_RealType __b = _RealType(1))
param_type(_RealType __a, _RealType __b = _RealType(1))
: _M_a(__a), _M_b(__b)
{
__glibcxx_assert(_M_a <= _M_b);
@ -1974,9 +1975,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef normal_distribution<_RealType> distribution_type;
param_type() : param_type(0.0) { }
explicit
param_type(_RealType __mean = _RealType(0),
_RealType __stddev = _RealType(1))
param_type(_RealType __mean, _RealType __stddev = _RealType(1))
: _M_mean(__mean), _M_stddev(__stddev)
{
__glibcxx_assert(_M_stddev > _RealType(0));
@ -2194,9 +2196,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef lognormal_distribution<_RealType> distribution_type;
param_type() : param_type(0.0) { }
explicit
param_type(_RealType __m = _RealType(0),
_RealType __s = _RealType(1))
param_type(_RealType __m, _RealType __s = _RealType(1))
: _M_m(__m), _M_s(__s)
{ }
@ -2405,9 +2408,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
typedef gamma_distribution<_RealType> distribution_type;
friend class gamma_distribution<_RealType>;
param_type() : param_type(1.0) { }
explicit
param_type(_RealType __alpha_val = _RealType(1),
_RealType __beta_val = _RealType(1))
param_type(_RealType __alpha_val, _RealType __beta_val = _RealType(1))
: _M_alpha(__alpha_val), _M_beta(__beta_val)
{
__glibcxx_assert(_M_alpha > _RealType(0));
@ -2631,8 +2635,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef chi_squared_distribution<_RealType> distribution_type;
param_type() : param_type(1) { }
explicit
param_type(_RealType __n = _RealType(1))
param_type(_RealType __n)
: _M_n(__n)
{ }
@ -2853,9 +2859,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef cauchy_distribution<_RealType> distribution_type;
param_type() : param_type(0) { }
explicit
param_type(_RealType __a = _RealType(0),
_RealType __b = _RealType(1))
param_type(_RealType __a, _RealType __b = _RealType(1))
: _M_a(__a), _M_b(__b)
{ }
@ -3060,9 +3067,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef fisher_f_distribution<_RealType> distribution_type;
param_type() : param_type(1) { }
explicit
param_type(_RealType __m = _RealType(1),
_RealType __n = _RealType(1))
param_type(_RealType __m, _RealType __n = _RealType(1))
: _M_m(__m), _M_n(__n)
{ }
@ -3291,8 +3299,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef student_t_distribution<_RealType> distribution_type;
param_type() : param_type(1) { }
explicit
param_type(_RealType __n = _RealType(1))
param_type(_RealType __n)
: _M_n(__n)
{ }
@ -3513,8 +3523,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef bernoulli_distribution distribution_type;
param_type() : param_type(0.5) { }
explicit
param_type(double __p = 0.5)
param_type(double __p)
: _M_p(__p)
{
__glibcxx_assert((_M_p >= 0.0) && (_M_p <= 1.0));
@ -3732,8 +3744,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
typedef binomial_distribution<_IntType> distribution_type;
friend class binomial_distribution<_IntType>;
param_type() : param_type(1) { }
explicit
param_type(_IntType __t = _IntType(1), double __p = 0.5)
param_type(_IntType __t, double __p = 0.5)
: _M_t(__t), _M_p(__p)
{
__glibcxx_assert((_M_t >= _IntType(0))
@ -3970,8 +3984,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
typedef geometric_distribution<_IntType> distribution_type;
friend class geometric_distribution<_IntType>;
param_type() : param_type(0.5) { }
explicit
param_type(double __p = 0.5)
param_type(double __p)
: _M_p(__p)
{
__glibcxx_assert((_M_p > 0.0) && (_M_p < 1.0));
@ -4177,8 +4193,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef negative_binomial_distribution<_IntType> distribution_type;
param_type() : param_type(1) { }
explicit
param_type(_IntType __k = 1, double __p = 0.5)
param_type(_IntType __k, double __p = 0.5)
: _M_k(__k), _M_p(__p)
{
__glibcxx_assert((_M_k > 0) && (_M_p > 0.0) && (_M_p <= 1.0));
@ -4407,8 +4425,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
typedef poisson_distribution<_IntType> distribution_type;
friend class poisson_distribution<_IntType>;
param_type() : param_type(1.0) { }
explicit
param_type(double __mean = 1.0)
param_type(double __mean)
: _M_mean(__mean)
{
__glibcxx_assert(_M_mean > 0.0);
@ -4630,8 +4650,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef exponential_distribution<_RealType> distribution_type;
param_type() : param_type(1.0) { }
explicit
param_type(_RealType __lambda = _RealType(1))
param_type(_RealType __lambda)
: _M_lambda(__lambda)
{
__glibcxx_assert(_M_lambda > _RealType(0));
@ -4843,9 +4865,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef weibull_distribution<_RealType> distribution_type;
param_type() : param_type(1.0) { }
explicit
param_type(_RealType __a = _RealType(1),
_RealType __b = _RealType(1))
param_type(_RealType __a, _RealType __b = _RealType(1.0))
: _M_a(__a), _M_b(__b)
{ }
@ -5052,9 +5075,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef extreme_value_distribution<_RealType> distribution_type;
param_type() : param_type(0.0) { }
explicit
param_type(_RealType __a = _RealType(0),
_RealType __b = _RealType(1))
param_type(_RealType __a, _RealType __b = _RealType(1.0))
: _M_a(__a), _M_b(__b)
{ }

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@ -68,9 +68,11 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef uniform_int_distribution<_IntType> distribution_type;
param_type() : param_type(0) { }
explicit
param_type(_IntType __a = 0,
_IntType __b = std::numeric_limits<_IntType>::max())
param_type(_IntType __a,
_IntType __b = numeric_limits<_IntType>::max())
: _M_a(__a), _M_b(__b)
{
__glibcxx_assert(_M_a <= _M_b);
@ -108,7 +110,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
*/
explicit
uniform_int_distribution(_IntType __a,
_IntType __b = std::numeric_limits<_IntType>::max())
_IntType __b = numeric_limits<_IntType>::max())
: _M_param(__a, __b)
{ }

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@ -424,9 +424,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
typedef beta_distribution<_RealType> distribution_type;
friend class beta_distribution<_RealType>;
param_type() : param_type(1) { }
explicit
param_type(_RealType __alpha_val = _RealType(1),
_RealType __beta_val = _RealType(1))
param_type(_RealType __alpha_val, _RealType __beta_val = _RealType(1))
: _M_alpha(__alpha_val), _M_beta(__beta_val)
{
__glibcxx_assert(_M_alpha > _RealType(0));
@ -972,7 +973,9 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef rice_distribution<result_type> distribution_type;
param_type(result_type __nu_val = result_type(0),
param_type() : param_type(0) { }
param_type(result_type __nu_val,
result_type __sigma_val = result_type(1))
: _M_nu(__nu_val), _M_sigma(__sigma_val)
{
@ -1224,7 +1227,9 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef nakagami_distribution<result_type> distribution_type;
param_type(result_type __mu_val = result_type(1),
param_type() : param_type(1) { }
param_type(result_type __mu_val,
result_type __omega_val = result_type(1))
: _M_mu(__mu_val), _M_omega(__omega_val)
{
@ -1467,7 +1472,9 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef pareto_distribution<result_type> distribution_type;
param_type(result_type __alpha_val = result_type(1),
param_type() : param_type(1) { }
param_type(result_type __alpha_val,
result_type __mu_val = result_type(1))
: _M_alpha(__alpha_val), _M_mu(__mu_val)
{
@ -1712,7 +1719,9 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef k_distribution<result_type> distribution_type;
param_type(result_type __lambda_val = result_type(1),
param_type() : param_type(1) { }
param_type(result_type __lambda_val,
result_type __mu_val = result_type(1),
result_type __nu_val = result_type(1))
: _M_lambda(__lambda_val), _M_mu(__mu_val), _M_nu(__nu_val)
@ -1964,8 +1973,9 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef arcsine_distribution<result_type> distribution_type;
param_type(result_type __a = result_type(0),
result_type __b = result_type(1))
param_type() : param_type(0) { }
param_type(result_type __a, result_type __b = result_type(1))
: _M_a(__a), _M_b(__b)
{
__glibcxx_assert(_M_a <= _M_b);
@ -2210,8 +2220,9 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef hoyt_distribution<result_type> distribution_type;
param_type(result_type __q = result_type(0.5L),
result_type __omega = result_type(1))
param_type() : param_type(0.5) { }
param_type(result_type __q, result_type __omega = result_type(1))
: _M_q(__q), _M_omega(__omega)
{
__glibcxx_assert(_M_q > result_type(0));
@ -2450,8 +2461,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
friend class triangular_distribution<_RealType>;
param_type() : param_type(0) { }
explicit
param_type(_RealType __a = _RealType(0),
param_type(_RealType __a,
_RealType __b = _RealType(0.5),
_RealType __c = _RealType(1))
: _M_a(__a), _M_b(__b), _M_c(__c)
@ -2715,9 +2728,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
friend class von_mises_distribution<_RealType>;
param_type() : param_type(0) { }
explicit
param_type(_RealType __mu = _RealType(0),
_RealType __kappa = _RealType(1))
param_type(_RealType __mu, _RealType __kappa = _RealType(1))
: _M_mu(__mu), _M_kappa(__kappa)
{
const _RealType __pi = __gnu_cxx::__math_constants<_RealType>::__pi;
@ -2958,8 +2972,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
typedef hypergeometric_distribution<_UIntType> distribution_type;
friend class hypergeometric_distribution<_UIntType>;
param_type() : param_type(10) { }
explicit
param_type(result_type __N = 10, result_type __K = 5,
param_type(result_type __N, result_type __K = 5,
result_type __n = 1)
: _M_N{__N}, _M_K{__K}, _M_n{__n}
{
@ -3224,8 +3240,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
{
typedef logistic_distribution<result_type> distribution_type;
param_type(result_type __a = result_type(0),
result_type __b = result_type(1))
param_type() : param_type(0) { }
explicit
param_type(result_type __a, result_type __b = result_type(1))
: _M_a(__a), _M_b(__b)
{
__glibcxx_assert(_M_b > result_type(0));
@ -3436,9 +3454,7 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
/** Parameter type. */
struct param_type
{
explicit
param_type()
{ }
param_type() { }
friend bool
operator==(const param_type&, const param_type&)
@ -3634,8 +3650,10 @@ _GLIBCXX_BEGIN_NAMESPACE_VERSION
= uniform_inside_sphere_distribution<_Dimen, _RealType>;
friend class uniform_inside_sphere_distribution<_Dimen, _RealType>;
param_type() : param_type(1.0) { }
explicit
param_type(_RealType __radius = _RealType(1))
param_type(_RealType __radius)
: _M_radius(__radius)
{
__glibcxx_assert(_M_radius > _RealType(0));

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@ -42,6 +42,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::bernoulli_distribution>();
test.operator()<std::bernoulli_distribution::param_type>();
}
int main()

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@ -43,6 +43,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::binomial_distribution<>>();
test.operator()<std::binomial_distribution<>::param_type>();
}
int main()

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@ -44,6 +44,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::cauchy_distribution<>>();
test.operator()<std::cauchy_distribution<>::param_type>();
}
int main()

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@ -43,6 +43,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::chi_squared_distribution<>>();
test.operator()<std::chi_squared_distribution<>::param_type>();
}
int main()

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@ -42,6 +42,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::discrete_distribution<>>();
test.operator()<std::discrete_distribution<>::param_type>();
}
int main()

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@ -43,6 +43,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::exponential_distribution<>>();
test.operator()<std::exponential_distribution<>::param_type>();
}
int main()

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@ -44,6 +44,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::extreme_value_distribution<>>();
test.operator()<std::extreme_value_distribution<>::param_type>();
}
int main()

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@ -44,6 +44,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::fisher_f_distribution<>>();
test.operator()<std::fisher_f_distribution<>::param_type>();
}
int main()

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@ -44,6 +44,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::gamma_distribution<>>();
test.operator()<std::gamma_distribution<>::param_type>();
}
int main()

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@ -43,6 +43,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::geometric_distribution<>>();
test.operator()<std::geometric_distribution<>::param_type>();
}
int

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@ -44,6 +44,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::lognormal_distribution<>>();
test.operator()<std::lognormal_distribution<>::param_type>();
}
int

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@ -44,6 +44,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::negative_binomial_distribution<>>();
test.operator()<std::negative_binomial_distribution<>::param_type>();
}
int

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@ -44,6 +44,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::normal_distribution<>>();
test.operator()<std::normal_distribution<>::param_type>();
}
int

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@ -46,6 +46,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::piecewise_constant_distribution<>>();
test.operator()<std::piecewise_constant_distribution<>::param_type>();
}
int

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@ -47,6 +47,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::piecewise_linear_distribution<>>();
test.operator()<std::piecewise_linear_distribution<>::param_type>();
}
int

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@ -43,6 +43,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::poisson_distribution<>>();
test.operator()<std::poisson_distribution<>::param_type>();
}
int

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@ -43,6 +43,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::student_t_distribution<>>();
test.operator()<std::student_t_distribution<>::param_type>();
}
int

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@ -44,6 +44,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::uniform_int_distribution<>>();
test.operator()<std::uniform_int_distribution<>::param_type>();
}
int

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@ -43,6 +43,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::uniform_real_distribution<>>();
test.operator()<std::uniform_real_distribution<>::param_type>();
}
int

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@ -44,6 +44,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<std::weibull_distribution<>>();
test.operator()<std::weibull_distribution<>::param_type>();
}
int

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@ -39,6 +39,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::arcsine_distribution<>>();
test.operator()<__gnu_cxx::arcsine_distribution<>::param_type>();
}
int

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@ -40,6 +40,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::beta_distribution<>>();
test.operator()<__gnu_cxx::beta_distribution<>::param_type>();
}
int main()

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@ -40,6 +40,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::hoyt_distribution<>>();
test.operator()<__gnu_cxx::hoyt_distribution<>::param_type>();
}
int

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@ -43,6 +43,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::hypergeometric_distribution<>>();
test.operator()<__gnu_cxx::hypergeometric_distribution<>::param_type>();
}
int

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@ -44,6 +44,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::k_distribution<>>();
test.operator()<__gnu_cxx::k_distribution<>::param_type>();
}
int

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@ -44,6 +44,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::logistic_distribution<>>();
test.operator()<__gnu_cxx::logistic_distribution<>::param_type>();
}
int

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@ -43,6 +43,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::nakagami_distribution<>>();
test.operator()<__gnu_cxx::nakagami_distribution<>::param_type>();
}
int

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@ -46,6 +46,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::normal_mv_distribution<2>>();
test.operator()<__gnu_cxx::normal_mv_distribution<2>::param_type>();
}
int main()

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@ -43,6 +43,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::pareto_distribution<>>();
test.operator()<__gnu_cxx::pareto_distribution<>::param_type>();
}
int

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@ -43,6 +43,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::rice_distribution<>>();
test.operator()<__gnu_cxx::rice_distribution<>::param_type>();
}
int

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@ -41,6 +41,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::triangular_distribution<>>();
test.operator()<__gnu_cxx::triangular_distribution<>::param_type>();
}
int main()

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@ -41,6 +41,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::uniform_inside_sphere_distribution<2>>();
test.operator()<__gnu_cxx::uniform_inside_sphere_distribution<2>::param_type>();
}
int

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@ -40,6 +40,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::uniform_on_sphere_distribution<2>>();
test.operator()<__gnu_cxx::uniform_on_sphere_distribution<2>::param_type>();
}
int

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@ -40,6 +40,7 @@ test02()
{
__gnu_test::implicitly_default_constructible test;
test.operator()<__gnu_cxx::von_mises_distribution<>>();
test.operator()<__gnu_cxx::von_mises_distribution<>::param_type>();
}
int main()