// random number generation (out of line) -*- C++ -*-
-// Copyright (C) 2009-2012 Free Software Foundation, Inc.
+// Copyright (C) 2009-2023 Free Software Foundation, Inc.
//
// This file is part of the GNU ISO C++ Library. This library is free
// software; you can redistribute it and/or modify it under the
namespace std _GLIBCXX_VISIBILITY(default)
{
- /*
- * (Further) implementation-space details.
- */
+_GLIBCXX_BEGIN_NAMESPACE_VERSION
+
+ /// @cond undocumented
+ // (Further) implementation-space details.
namespace __detail
{
- _GLIBCXX_BEGIN_NAMESPACE_VERSION
-
// General case for x = (ax + c) mod m -- use Schrage's algorithm
// to avoid integer overflow.
//
}
template<typename _InputIterator, typename _OutputIterator,
- typename _UnaryOperation>
+ typename _Tp>
_OutputIterator
- __transform(_InputIterator __first, _InputIterator __last,
- _OutputIterator __result, _UnaryOperation __unary_op)
+ __normalize(_InputIterator __first, _InputIterator __last,
+ _OutputIterator __result, const _Tp& __factor)
{
for (; __first != __last; ++__first, ++__result)
- *__result = __unary_op(*__first);
+ *__result = *__first / __factor;
return __result;
}
- _GLIBCXX_END_NAMESPACE_VERSION
} // namespace __detail
+ /// @endcond
-_GLIBCXX_BEGIN_NAMESPACE_VERSION
-
+#if ! __cpp_inline_variables
template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
constexpr _UIntType
linear_congruential_engine<_UIntType, __a, __c, __m>::multiplier;
template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
constexpr _UIntType
linear_congruential_engine<_UIntType, __a, __c, __m>::default_seed;
+#endif
/**
* Seeds the LCR with integral value @p __s, adjusted so that the
*/
template<typename _UIntType, _UIntType __a, _UIntType __c, _UIntType __m>
template<typename _Sseq>
- typename std::enable_if<std::is_class<_Sseq>::value>::type
+ auto
linear_congruential_engine<_UIntType, __a, __c, __m>::
seed(_Sseq& __q)
+ -> _If_seed_seq<_Sseq>
{
const _UIntType __k0 = __m == 0 ? std::numeric_limits<_UIntType>::digits
: std::__lg(__m);
const linear_congruential_engine<_UIntType,
__a, __c, __m>& __lcr)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
linear_congruential_engine<_UIntType, __a, __c, __m>& __lcr)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec);
return __is;
}
-
+#if ! __cpp_inline_variables
template<typename _UIntType,
size_t __w, size_t __n, size_t __m, size_t __r,
_UIntType __a, size_t __u, _UIntType __d, size_t __s,
constexpr _UIntType
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d,
__s, __b, __t, __c, __l, __f>::default_seed;
+#endif
template<typename _UIntType,
size_t __w, size_t __n, size_t __m, size_t __r,
_UIntType __b, size_t __t, _UIntType __c, size_t __l,
_UIntType __f>
template<typename _Sseq>
- typename std::enable_if<std::is_class<_Sseq>::value>::type
+ auto
mersenne_twister_engine<_UIntType, __w, __n, __m, __r, __a, __u, __d,
__s, __b, __t, __c, __l, __f>::
seed(_Sseq& __q)
+ -> _If_seed_seq<_Sseq>
{
const _UIntType __upper_mask = (~_UIntType()) << __r;
const size_t __k = (__w + 31) / 32;
}
if (__zero)
_M_x[0] = __detail::_Shift<_UIntType, __w - 1>::__value;
+ _M_p = state_size;
}
template<typename _UIntType, size_t __w,
const mersenne_twister_engine<_UIntType, __w, __n, __m,
__r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
mersenne_twister_engine<_UIntType, __w, __n, __m,
__r, __a, __u, __d, __s, __b, __t, __c, __l, __f>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
return __is;
}
-
+#if ! __cpp_inline_variables
template<typename _UIntType, size_t __w, size_t __s, size_t __r>
constexpr size_t
subtract_with_carry_engine<_UIntType, __w, __s, __r>::word_size;
subtract_with_carry_engine<_UIntType, __w, __s, __r>::long_lag;
template<typename _UIntType, size_t __w, size_t __s, size_t __r>
- constexpr _UIntType
+ constexpr uint_least32_t
subtract_with_carry_engine<_UIntType, __w, __s, __r>::default_seed;
+#endif
template<typename _UIntType, size_t __w, size_t __s, size_t __r>
void
subtract_with_carry_engine<_UIntType, __w, __s, __r>::
seed(result_type __value)
{
- std::linear_congruential_engine<result_type, 40014u, 0u, 2147483563u>
+ std::linear_congruential_engine<uint_least32_t, 40014u, 0u, 2147483563u>
__lcg(__value == 0u ? default_seed : __value);
const size_t __n = (__w + 31) / 32;
template<typename _UIntType, size_t __w, size_t __s, size_t __r>
template<typename _Sseq>
- typename std::enable_if<std::is_class<_Sseq>::value>::type
+ auto
subtract_with_carry_engine<_UIntType, __w, __s, __r>::
seed(_Sseq& __q)
+ -> _If_seed_seq<_Sseq>
{
const size_t __k = (__w + 31) / 32;
uint_least32_t __arr[__r * __k];
const subtract_with_carry_engine<_UIntType,
__w, __s, __r>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
subtract_with_carry_engine<_UIntType, __w, __s, __r>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
return __is;
}
-
+#if ! __cpp_inline_variables
template<typename _RandomNumberEngine, size_t __p, size_t __r>
constexpr size_t
discard_block_engine<_RandomNumberEngine, __p, __r>::block_size;
template<typename _RandomNumberEngine, size_t __p, size_t __r>
constexpr size_t
discard_block_engine<_RandomNumberEngine, __p, __r>::used_block;
+#endif
template<typename _RandomNumberEngine, size_t __p, size_t __r>
typename discard_block_engine<_RandomNumberEngine,
const discard_block_engine<_RandomNumberEngine,
__p, __r>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
discard_block_engine<_RandomNumberEngine, __p, __r>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
return __sum;
}
-
+#if ! __cpp_inline_variables
template<typename _RandomNumberEngine, size_t __k>
constexpr size_t
shuffle_order_engine<_RandomNumberEngine, __k>::table_size;
+#endif
+
+ namespace __detail
+ {
+ // Determine whether an integer is representable as double.
+ template<typename _Tp>
+ constexpr bool
+ __representable_as_double(_Tp __x) noexcept
+ {
+ static_assert(numeric_limits<_Tp>::is_integer, "");
+ static_assert(!numeric_limits<_Tp>::is_signed, "");
+ // All integers <= 2^53 are representable.
+ return (__x <= (1ull << __DBL_MANT_DIG__))
+ // Between 2^53 and 2^54 only even numbers are representable.
+ || (!(__x & 1) && __detail::__representable_as_double(__x >> 1));
+ }
+
+ // Determine whether x+1 is representable as double.
+ template<typename _Tp>
+ constexpr bool
+ __p1_representable_as_double(_Tp __x) noexcept
+ {
+ static_assert(numeric_limits<_Tp>::is_integer, "");
+ static_assert(!numeric_limits<_Tp>::is_signed, "");
+ return numeric_limits<_Tp>::digits < __DBL_MANT_DIG__
+ || (bool(__x + 1u) // return false if x+1 wraps around to zero
+ && __detail::__representable_as_double(__x + 1u));
+ }
+ }
template<typename _RandomNumberEngine, size_t __k>
typename shuffle_order_engine<_RandomNumberEngine, __k>::result_type
shuffle_order_engine<_RandomNumberEngine, __k>::
operator()()
{
- size_t __j = __k * ((_M_y - _M_b.min())
- / (_M_b.max() - _M_b.min() + 1.0L));
+ constexpr result_type __range = max() - min();
+ size_t __j = __k;
+ const result_type __y = _M_y - min();
+ // Avoid using slower long double arithmetic if possible.
+ if _GLIBCXX17_CONSTEXPR (__detail::__p1_representable_as_double(__range))
+ __j *= __y / (__range + 1.0);
+ else
+ __j *= __y / (__range + 1.0L);
_M_y = _M_v[__j];
_M_v[__j] = _M_b();
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const shuffle_order_engine<_RandomNumberEngine, __k>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
shuffle_order_engine<_RandomNumberEngine, __k>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
}
- template<typename _IntType>
- template<typename _UniformRandomNumberGenerator>
- typename uniform_int_distribution<_IntType>::result_type
- uniform_int_distribution<_IntType>::
- operator()(_UniformRandomNumberGenerator& __urng,
- const param_type& __param)
- {
- typedef typename _UniformRandomNumberGenerator::result_type
- _Gresult_type;
- typedef typename std::make_unsigned<result_type>::type __utype;
- typedef typename std::common_type<_Gresult_type, __utype>::type
- __uctype;
-
- const __uctype __urngmin = __urng.min();
- const __uctype __urngmax = __urng.max();
- const __uctype __urngrange = __urngmax - __urngmin;
- const __uctype __urange
- = __uctype(__param.b()) - __uctype(__param.a());
-
- __uctype __ret;
-
- if (__urngrange > __urange)
- {
- // downscaling
- const __uctype __uerange = __urange + 1; // __urange can be zero
- const __uctype __scaling = __urngrange / __uerange;
- const __uctype __past = __uerange * __scaling;
- do
- __ret = __uctype(__urng()) - __urngmin;
- while (__ret >= __past);
- __ret /= __scaling;
- }
- else if (__urngrange < __urange)
- {
- // upscaling
- /*
- Note that every value in [0, urange]
- can be written uniquely as
-
- (urngrange + 1) * high + low
-
- where
-
- high in [0, urange / (urngrange + 1)]
-
- and
-
- low in [0, urngrange].
- */
- __uctype __tmp; // wraparound control
- do
- {
- const __uctype __uerngrange = __urngrange + 1;
- __tmp = (__uerngrange * operator()
- (__urng, param_type(0, __urange / __uerngrange)));
- __ret = __tmp + (__uctype(__urng()) - __urngmin);
- }
- while (__ret > __urange || __ret < __tmp);
- }
- else
- __ret = __uctype(__urng()) - __urngmin;
-
- return __ret + __param.a();
- }
-
-
- template<typename _IntType>
- template<typename _ForwardIterator,
- typename _UniformRandomNumberGenerator>
- void
- uniform_int_distribution<_IntType>::
- __generate_impl(_ForwardIterator __f, _ForwardIterator __t,
- _UniformRandomNumberGenerator& __urng,
- const param_type& __param)
- {
- __glibcxx_function_requires(_ForwardIteratorConcept<_ForwardIterator>)
- typedef typename _UniformRandomNumberGenerator::result_type
- _Gresult_type;
- typedef typename std::make_unsigned<result_type>::type __utype;
- typedef typename std::common_type<_Gresult_type, __utype>::type
- __uctype;
-
- const __uctype __urngmin = __urng.min();
- const __uctype __urngmax = __urng.max();
- const __uctype __urngrange = __urngmax - __urngmin;
- const __uctype __urange
- = __uctype(__param.b()) - __uctype(__param.a());
-
- __uctype __ret;
-
- if (__urngrange > __urange)
- {
- if (__detail::_Power_of_2(__urngrange + 1)
- && __detail::_Power_of_2(__urange + 1))
- {
- while (__f != __t)
- {
- __ret = __uctype(__urng()) - __urngmin;
- *__f++ = (__ret & __urange) + __param.a();
- }
- }
- else
- {
- // downscaling
- const __uctype __uerange = __urange + 1; // __urange can be zero
- const __uctype __scaling = __urngrange / __uerange;
- const __uctype __past = __uerange * __scaling;
- while (__f != __t)
- {
- do
- __ret = __uctype(__urng()) - __urngmin;
- while (__ret >= __past);
- *__f++ = __ret / __scaling + __param.a();
- }
- }
- }
- else if (__urngrange < __urange)
- {
- // upscaling
- /*
- Note that every value in [0, urange]
- can be written uniquely as
-
- (urngrange + 1) * high + low
-
- where
-
- high in [0, urange / (urngrange + 1)]
-
- and
-
- low in [0, urngrange].
- */
- __uctype __tmp; // wraparound control
- while (__f != __t)
- {
- do
- {
- const __uctype __uerngrange = __urngrange + 1;
- __tmp = (__uerngrange * operator()
- (__urng, param_type(0, __urange / __uerngrange)));
- __ret = __tmp + (__uctype(__urng()) - __urngmin);
- }
- while (__ret > __urange || __ret < __tmp);
- *__f++ = __ret;
- }
- }
- else
- while (__f != __t)
- *__f++ = __uctype(__urng()) - __urngmin + __param.a();
- }
-
template<typename _IntType, typename _CharT, typename _Traits>
std::basic_ostream<_CharT, _Traits>&
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const uniform_int_distribution<_IntType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
uniform_int_distribution<_IntType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type
+ = typename uniform_int_distribution<_IntType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
_IntType __a, __b;
- __is >> __a >> __b;
- __x.param(typename uniform_int_distribution<_IntType>::
- param_type(__a, __b));
+ if (__is >> __a >> __b)
+ __x.param(param_type(__a, __b));
__is.flags(__flags);
return __is;
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const uniform_real_distribution<_RealType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
uniform_real_distribution<_RealType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type
+ = typename uniform_real_distribution<_RealType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::skipws);
_RealType __a, __b;
- __is >> __a >> __b;
- __x.param(typename uniform_real_distribution<_RealType>::
- param_type(__a, __b));
+ if (__is >> __a >> __b)
+ __x.param(param_type(__a, __b));
__is.flags(__flags);
return __is;
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const bernoulli_distribution& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const geometric_distribution<_IntType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
geometric_distribution<_IntType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type = typename geometric_distribution<_IntType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::skipws);
double __p;
- __is >> __p;
- __x.param(typename geometric_distribution<_IntType>::param_type(__p));
+ if (__is >> __p)
+ __x.param(param_type(__p));
__is.flags(__flags);
return __is;
operator()(_UniformRandomNumberGenerator& __urng,
const param_type& __p)
{
- typedef typename std::gamma_distribution<result_type>::param_type
+ typedef typename std::gamma_distribution<double>::param_type
param_type;
const double __y =
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const negative_binomial_distribution<_IntType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
negative_binomial_distribution<_IntType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type
+ = typename negative_binomial_distribution<_IntType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::skipws);
_IntType __k;
double __p;
- __is >> __k >> __p >> __x._M_gd;
- __x.param(typename negative_binomial_distribution<_IntType>::
- param_type(__k, __p));
+ if (__is >> __k >> __p >> __x._M_gd)
+ __x.param(param_type(__k, __p));
__is.flags(__flags);
return __is;
const double __pi_4 = 0.7853981633974483096156608458198757L;
const double __dx = std::sqrt(2 * __m * std::log(32 * __m
/ __pi_4));
- _M_d = std::round(std::max(6.0, std::min(__m, __dx)));
+ _M_d = std::round(std::max<double>(6.0, std::min(__m, __dx)));
const double __cx = 2 * __m + _M_d;
_M_scx = std::sqrt(__cx / 2);
_M_1cx = 1 / __cx;
const double __c2 = __param._M_c2b + __c1;
const double __c3 = __c2 + 1;
const double __c4 = __c3 + 1;
+ // 1 / 78
+ const double __178 = 0.0128205128205128205128205128205128L;
// e^(1 / 78)
const double __e178 = 1.0129030479320018583185514777512983L;
const double __c5 = __c4 + __e178;
else if (__u <= __c4)
__x = 0;
else if (__u <= __c5)
- __x = 1;
+ {
+ __x = 1;
+ // Only in the Errata, see libstdc++/83237.
+ __w = __178;
+ }
else
{
const double __v = -std::log(1.0 - __aurng());
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const poisson_distribution<_IntType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
poisson_distribution<_IntType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type = typename poisson_distribution<_IntType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::skipws);
double __mean;
- __is >> __mean >> __x._M_nd;
- __x.param(typename poisson_distribution<_IntType>::param_type(__mean));
+ if (__is >> __mean >> __x._M_nd)
+ __x.param(param_type(__mean));
__is.flags(__flags);
return __is;
const double __d1x =
std::sqrt(__np * __1p * std::log(32 * __np
/ (81 * __pi_4 * __1p)));
- _M_d1 = std::round(std::max(1.0, __d1x));
+ _M_d1 = std::round(std::max<double>(1.0, __d1x));
const double __d2x =
std::sqrt(__np * __1p * std::log(32 * _M_t * __1p
/ (__pi_4 * __pa)));
- _M_d2 = std::round(std::max(1.0, __d2x));
+ _M_d2 = std::round(std::max<double>(1.0, __d2x));
// sqrt(pi / 2)
const double __spi_2 = 1.2533141373155002512078826424055226L;
template<typename _UniformRandomNumberGenerator>
typename binomial_distribution<_IntType>::result_type
binomial_distribution<_IntType>::
- _M_waiting(_UniformRandomNumberGenerator& __urng, _IntType __t)
+ _M_waiting(_UniformRandomNumberGenerator& __urng,
+ _IntType __t, double __q)
{
_IntType __x = 0;
double __sum = 0.0;
do
{
+ if (__t == __x)
+ return __x;
const double __e = -std::log(1.0 - __aurng());
__sum += __e / (__t - __x);
__x += 1;
}
- while (__sum <= _M_param._M_q);
+ while (__sum <= __q);
return __x - 1;
}
__x += __np + __naf;
- const _IntType __z = _M_waiting(__urng, __t - _IntType(__x));
+ const _IntType __z = _M_waiting(__urng, __t - _IntType(__x),
+ __param._M_q);
__ret = _IntType(__x) + __z;
}
else
#endif
- __ret = _M_waiting(__urng, __t);
+ __ret = _M_waiting(__urng, __t, __param._M_q);
if (__p12 != __p)
__ret = __t - __ret;
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const binomial_distribution<_IntType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
binomial_distribution<_IntType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type = typename binomial_distribution<_IntType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
_IntType __t;
double __p;
- __is >> __t >> __p >> __x._M_nd;
- __x.param(typename binomial_distribution<_IntType>::
- param_type(__t, __p));
+ if (__is >> __t >> __p >> __x._M_nd)
+ __x.param(param_type(__t, __p));
__is.flags(__flags);
return __is;
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const exponential_distribution<_RealType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
exponential_distribution<_RealType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type
+ = typename exponential_distribution<_RealType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
_RealType __lambda;
- __is >> __lambda;
- __x.param(typename exponential_distribution<_RealType>::
- param_type(__lambda));
+ if (__is >> __lambda)
+ __x.param(param_type(__lambda));
__is.flags(__flags);
return __is;
{
if (__d1._M_param == __d2._M_param
&& __d1._M_saved_available == __d2._M_saved_available)
- {
- if (__d1._M_saved_available
- && __d1._M_saved == __d2._M_saved)
- return true;
- else if(!__d1._M_saved_available)
- return true;
- else
- return false;
- }
+ return __d1._M_saved_available ? __d1._M_saved == __d2._M_saved : true;
else
return false;
}
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const normal_distribution<_RealType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
normal_distribution<_RealType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type = typename normal_distribution<_RealType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
double __mean, __stddev;
- __is >> __mean >> __stddev
- >> __x._M_saved_available;
- if (__x._M_saved_available)
- __is >> __x._M_saved;
- __x.param(typename normal_distribution<_RealType>::
- param_type(__mean, __stddev));
+ bool __saved_avail;
+ if (__is >> __mean >> __stddev >> __saved_avail)
+ {
+ if (!__saved_avail || (__is >> __x._M_saved))
+ {
+ __x._M_saved_available = __saved_avail;
+ __x.param(param_type(__mean, __stddev));
+ }
+ }
__is.flags(__flags);
return __is;
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const lognormal_distribution<_RealType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
lognormal_distribution<_RealType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type
+ = typename lognormal_distribution<_RealType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
_RealType __m, __s;
- __is >> __m >> __s >> __x._M_nd;
- __x.param(typename lognormal_distribution<_RealType>::
- param_type(__m, __s));
+ if (__is >> __m >> __s >> __x._M_nd)
+ __x.param(param_type(__m, __s));
__is.flags(__flags);
return __is;
}
+ template<typename _RealType>
+ template<typename _ForwardIterator,
+ typename _UniformRandomNumberGenerator>
+ void
+ std::chi_squared_distribution<_RealType>::
+ __generate_impl(_ForwardIterator __f, _ForwardIterator __t,
+ _UniformRandomNumberGenerator& __urng)
+ {
+ __glibcxx_function_requires(_ForwardIteratorConcept<_ForwardIterator>)
+ while (__f != __t)
+ *__f++ = 2 * _M_gd(__urng);
+ }
template<typename _RealType>
template<typename _ForwardIterator,
std::chi_squared_distribution<_RealType>::
__generate_impl(_ForwardIterator __f, _ForwardIterator __t,
_UniformRandomNumberGenerator& __urng,
- typename std::gamma_distribution<result_type>::param_type&
- __p)
+ const typename
+ std::gamma_distribution<result_type>::param_type& __p)
{
__glibcxx_function_requires(_ForwardIteratorConcept<_ForwardIterator>)
while (__f != __t)
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const chi_squared_distribution<_RealType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
chi_squared_distribution<_RealType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type
+ = typename chi_squared_distribution<_RealType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
_RealType __n;
- __is >> __n >> __x._M_gd;
- __x.param(typename chi_squared_distribution<_RealType>::
- param_type(__n));
+ if (__is >> __n >> __x._M_gd)
+ __x.param(param_type(__n));
__is.flags(__flags);
return __is;
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const cauchy_distribution<_RealType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
cauchy_distribution<_RealType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type = typename cauchy_distribution<_RealType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
_RealType __a, __b;
- __is >> __a >> __b;
- __x.param(typename cauchy_distribution<_RealType>::
- param_type(__a, __b));
+ if (__is >> __a >> __b)
+ __x.param(param_type(__a, __b));
__is.flags(__flags);
return __is;
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const fisher_f_distribution<_RealType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
fisher_f_distribution<_RealType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type
+ = typename fisher_f_distribution<_RealType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
_RealType __m, __n;
- __is >> __m >> __n >> __x._M_gd_x >> __x._M_gd_y;
- __x.param(typename fisher_f_distribution<_RealType>::
- param_type(__m, __n));
+ if (__is >> __m >> __n >> __x._M_gd_x >> __x._M_gd_y)
+ __x.param(param_type(__m, __n));
__is.flags(__flags);
return __is;
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const student_t_distribution<_RealType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
student_t_distribution<_RealType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type
+ = typename student_t_distribution<_RealType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
_RealType __n;
- __is >> __n >> __x._M_nd >> __x._M_gd;
- __x.param(typename student_t_distribution<_RealType>::param_type(__n));
+ if (__is >> __n >> __x._M_nd >> __x._M_gd)
+ __x.param(param_type(__n));
__is.flags(__flags);
return __is;
__v = __v * __v * __v;
__u = __aurng();
}
- while (__u > result_type(1.0) - 0.331 * __n * __n * __n * __n
+ while (__u > result_type(1.0) - 0.0331 * __n * __n * __n * __n
&& (std::log(__u) > (0.5 * __n * __n + __a1
* (1.0 - __v + std::log(__v)))));
__v = __v * __v * __v;
__u = __aurng();
}
- while (__u > result_type(1.0) - 0.331 * __n * __n * __n * __n
+ while (__u > result_type(1.0) - 0.0331 * __n * __n * __n * __n
&& (std::log(__u) > (0.5 * __n * __n + __a1
* (1.0 - __v + std::log(__v)))));
__v = __v * __v * __v;
__u = __aurng();
}
- while (__u > result_type(1.0) - 0.331 * __n * __n * __n * __n
+ while (__u > result_type(1.0) - 0.0331 * __n * __n * __n * __n
&& (std::log(__u) > (0.5 * __n * __n + __a1
* (1.0 - __v + std::log(__v)))));
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const gamma_distribution<_RealType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
gamma_distribution<_RealType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type = typename gamma_distribution<_RealType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
_RealType __alpha_val, __beta_val;
- __is >> __alpha_val >> __beta_val >> __x._M_nd;
- __x.param(typename gamma_distribution<_RealType>::
- param_type(__alpha_val, __beta_val));
+ if (__is >> __alpha_val >> __beta_val >> __x._M_nd)
+ __x.param(param_type(__alpha_val, __beta_val));
__is.flags(__flags);
return __is;
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const weibull_distribution<_RealType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
weibull_distribution<_RealType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type = typename weibull_distribution<_RealType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
_RealType __a, __b;
- __is >> __a >> __b;
- __x.param(typename weibull_distribution<_RealType>::
- param_type(__a, __b));
+ if (__is >> __a >> __b)
+ __x.param(param_type(__a, __b));
__is.flags(__flags);
return __is;
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const extreme_value_distribution<_RealType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
extreme_value_distribution<_RealType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using param_type
+ = typename extreme_value_distribution<_RealType>::param_type;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
_RealType __a, __b;
- __is >> __a >> __b;
- __x.param(typename extreme_value_distribution<_RealType>::
- param_type(__a, __b));
+ if (__is >> __a >> __b)
+ __x.param(param_type(__a, __b));
__is.flags(__flags);
return __is;
const double __sum = std::accumulate(_M_prob.begin(),
_M_prob.end(), 0.0);
+ __glibcxx_assert(__sum > 0);
// Now normalize the probabilites.
- __detail::__transform(_M_prob.begin(), _M_prob.end(), _M_prob.begin(),
- std::bind2nd(std::divides<double>(), __sum));
+ __detail::__normalize(_M_prob.begin(), _M_prob.end(), _M_prob.begin(),
+ __sum);
// Accumulate partial sums.
_M_cp.reserve(_M_prob.size());
std::partial_sum(_M_prob.begin(), _M_prob.end(),
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const discrete_distribution<_IntType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
return __os;
}
+namespace __detail
+{
+ template<typename _ValT, typename _CharT, typename _Traits>
+ basic_istream<_CharT, _Traits>&
+ __extract_params(basic_istream<_CharT, _Traits>& __is,
+ vector<_ValT>& __vals, size_t __n)
+ {
+ __vals.reserve(__n);
+ while (__n--)
+ {
+ _ValT __val;
+ if (__is >> __val)
+ __vals.push_back(__val);
+ else
+ break;
+ }
+ return __is;
+ }
+} // namespace __detail
+
template<typename _IntType, typename _CharT, typename _Traits>
std::basic_istream<_CharT, _Traits>&
operator>>(std::basic_istream<_CharT, _Traits>& __is,
discrete_distribution<_IntType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
size_t __n;
- __is >> __n;
-
- std::vector<double> __prob_vec;
- __prob_vec.reserve(__n);
- for (; __n != 0; --__n)
+ if (__is >> __n)
{
- double __prob;
- __is >> __prob;
- __prob_vec.push_back(__prob);
+ std::vector<double> __prob_vec;
+ if (__detail::__extract_params(__is, __prob_vec, __n))
+ __x.param({__prob_vec.begin(), __prob_vec.end()});
}
- __x.param(typename discrete_distribution<_IntType>::
- param_type(__prob_vec.begin(), __prob_vec.end()));
-
__is.flags(__flags);
return __is;
}
const double __sum = std::accumulate(_M_den.begin(),
_M_den.end(), 0.0);
+ __glibcxx_assert(__sum > 0);
- __detail::__transform(_M_den.begin(), _M_den.end(), _M_den.begin(),
- std::bind2nd(std::divides<double>(), __sum));
+ __detail::__normalize(_M_den.begin(), _M_den.end(), _M_den.begin(),
+ __sum);
_M_cp.reserve(_M_den.size());
std::partial_sum(_M_den.begin(), _M_den.end(),
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const piecewise_constant_distribution<_RealType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
piecewise_constant_distribution<_RealType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
size_t __n;
- __is >> __n;
-
- std::vector<_RealType> __int_vec;
- __int_vec.reserve(__n + 1);
- for (size_t __i = 0; __i <= __n; ++__i)
- {
- _RealType __int;
- __is >> __int;
- __int_vec.push_back(__int);
- }
-
- std::vector<double> __den_vec;
- __den_vec.reserve(__n);
- for (size_t __i = 0; __i < __n; ++__i)
+ if (__is >> __n)
{
- double __den;
- __is >> __den;
- __den_vec.push_back(__den);
+ std::vector<_RealType> __int_vec;
+ if (__detail::__extract_params(__is, __int_vec, __n + 1))
+ {
+ std::vector<double> __den_vec;
+ if (__detail::__extract_params(__is, __den_vec, __n))
+ {
+ __x.param({ __int_vec.begin(), __int_vec.end(),
+ __den_vec.begin() });
+ }
+ }
}
- __x.param(typename piecewise_constant_distribution<_RealType>::
- param_type(__int_vec.begin(), __int_vec.end(), __den_vec.begin()));
-
__is.flags(__flags);
return __is;
}
_M_cp.push_back(__sum);
_M_m.push_back((_M_den[__k + 1] - _M_den[__k]) / __delta);
}
+ __glibcxx_assert(__sum > 0);
// Now normalize the densities...
- __detail::__transform(_M_den.begin(), _M_den.end(), _M_den.begin(),
- std::bind2nd(std::divides<double>(), __sum));
+ __detail::__normalize(_M_den.begin(), _M_den.end(), _M_den.begin(),
+ __sum);
// ... and partial sums...
- __detail::__transform(_M_cp.begin(), _M_cp.end(), _M_cp.begin(),
- std::bind2nd(std::divides<double>(), __sum));
+ __detail::__normalize(_M_cp.begin(), _M_cp.end(), _M_cp.begin(), __sum);
// ... and slopes.
- __detail::__transform(_M_m.begin(), _M_m.end(), _M_m.begin(),
- std::bind2nd(std::divides<double>(), __sum));
+ __detail::__normalize(_M_m.begin(), _M_m.end(), _M_m.begin(), __sum);
+
// Make sure the last cumulative probablility is one.
_M_cp[_M_cp.size() - 1] = 1.0;
}
operator<<(std::basic_ostream<_CharT, _Traits>& __os,
const piecewise_linear_distribution<_RealType>& __x)
{
- typedef std::basic_ostream<_CharT, _Traits> __ostream_type;
- typedef typename __ostream_type::ios_base __ios_base;
+ using __ios_base = typename basic_ostream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __os.flags();
const _CharT __fill = __os.fill();
operator>>(std::basic_istream<_CharT, _Traits>& __is,
piecewise_linear_distribution<_RealType>& __x)
{
- typedef std::basic_istream<_CharT, _Traits> __istream_type;
- typedef typename __istream_type::ios_base __ios_base;
+ using __ios_base = typename basic_istream<_CharT, _Traits>::ios_base;
const typename __ios_base::fmtflags __flags = __is.flags();
__is.flags(__ios_base::dec | __ios_base::skipws);
size_t __n;
- __is >> __n;
-
- std::vector<_RealType> __int_vec;
- __int_vec.reserve(__n + 1);
- for (size_t __i = 0; __i <= __n; ++__i)
- {
- _RealType __int;
- __is >> __int;
- __int_vec.push_back(__int);
- }
-
- std::vector<double> __den_vec;
- __den_vec.reserve(__n + 1);
- for (size_t __i = 0; __i <= __n; ++__i)
+ if (__is >> __n)
{
- double __den;
- __is >> __den;
- __den_vec.push_back(__den);
+ vector<_RealType> __int_vec;
+ if (__detail::__extract_params(__is, __int_vec, __n + 1))
+ {
+ vector<double> __den_vec;
+ if (__detail::__extract_params(__is, __den_vec, __n + 1))
+ {
+ __x.param({ __int_vec.begin(), __int_vec.end(),
+ __den_vec.begin() });
+ }
+ }
}
-
- __x.param(typename piecewise_linear_distribution<_RealType>::
- param_type(__int_vec.begin(), __int_vec.end(), __den_vec.begin()));
-
__is.flags(__flags);
return __is;
}
- template<typename _IntType>
+ template<typename _IntType, typename>
seed_seq::seed_seq(std::initializer_list<_IntType> __il)
{
+ _M_v.reserve(__il.size());
for (auto __iter = __il.begin(); __iter != __il.end(); ++__iter)
_M_v.push_back(__detail::__mod<result_type,
__detail::_Shift<result_type, 32>::__value>(*__iter));
template<typename _InputIterator>
seed_seq::seed_seq(_InputIterator __begin, _InputIterator __end)
{
+ if _GLIBCXX17_CONSTEXPR (__is_random_access_iter<_InputIterator>::value)
+ _M_v.reserve(std::distance(__begin, __end));
+
for (_InputIterator __iter = __begin; __iter != __end; ++__iter)
_M_v.push_back(__detail::__mod<result_type,
__detail::_Shift<result_type, 32>::__value>(*__iter));
const size_t __q = __p + __t;
const size_t __m = std::max(size_t(__s + 1), __n);
- for (size_t __k = 0; __k < __m; ++__k)
+#ifndef __UINT32_TYPE__
+ struct _Up
+ {
+ _Up(uint_least32_t v) : _M_v(v & 0xffffffffu) { }
+
+ operator uint_least32_t() const { return _M_v; }
+
+ uint_least32_t _M_v;
+ };
+ using uint32_t = _Up;
+#endif
+
+ // k == 0, every element in [begin,end) equals 0x8b8b8b8bu
{
- _Type __arg = (__begin[__k % __n]
- ^ __begin[(__k + __p) % __n]
- ^ __begin[(__k - 1) % __n]);
- _Type __r1 = __arg ^ (__arg >> 27);
- __r1 = __detail::__mod<_Type,
- __detail::_Shift<_Type, 32>::__value>(1664525u * __r1);
- _Type __r2 = __r1;
- if (__k == 0)
- __r2 += __s;
- else if (__k <= __s)
- __r2 += __k % __n + _M_v[__k - 1];
- else
- __r2 += __k % __n;
- __r2 = __detail::__mod<_Type,
- __detail::_Shift<_Type, 32>::__value>(__r2);
- __begin[(__k + __p) % __n] += __r1;
- __begin[(__k + __q) % __n] += __r2;
- __begin[__k % __n] = __r2;
+ uint32_t __r1 = 1371501266u;
+ uint32_t __r2 = __r1 + __s;
+ __begin[__p] += __r1;
+ __begin[__q] = (uint32_t)__begin[__q] + __r2;
+ __begin[0] = __r2;
+ }
+
+ for (size_t __k = 1; __k <= __s; ++__k)
+ {
+ const size_t __kn = __k % __n;
+ const size_t __kpn = (__k + __p) % __n;
+ const size_t __kqn = (__k + __q) % __n;
+ uint32_t __arg = (__begin[__kn]
+ ^ __begin[__kpn]
+ ^ __begin[(__k - 1) % __n]);
+ uint32_t __r1 = 1664525u * (__arg ^ (__arg >> 27));
+ uint32_t __r2 = __r1 + (uint32_t)__kn + _M_v[__k - 1];
+ __begin[__kpn] = (uint32_t)__begin[__kpn] + __r1;
+ __begin[__kqn] = (uint32_t)__begin[__kqn] + __r2;
+ __begin[__kn] = __r2;
+ }
+
+ for (size_t __k = __s + 1; __k < __m; ++__k)
+ {
+ const size_t __kn = __k % __n;
+ const size_t __kpn = (__k + __p) % __n;
+ const size_t __kqn = (__k + __q) % __n;
+ uint32_t __arg = (__begin[__kn]
+ ^ __begin[__kpn]
+ ^ __begin[(__k - 1) % __n]);
+ uint32_t __r1 = 1664525u * (__arg ^ (__arg >> 27));
+ uint32_t __r2 = __r1 + (uint32_t)__kn;
+ __begin[__kpn] = (uint32_t)__begin[__kpn] + __r1;
+ __begin[__kqn] = (uint32_t)__begin[__kqn] + __r2;
+ __begin[__kn] = __r2;
}
for (size_t __k = __m; __k < __m + __n; ++__k)
{
- _Type __arg = (__begin[__k % __n]
- + __begin[(__k + __p) % __n]
- + __begin[(__k - 1) % __n]);
- _Type __r3 = __arg ^ (__arg >> 27);
- __r3 = __detail::__mod<_Type,
- __detail::_Shift<_Type, 32>::__value>(1566083941u * __r3);
- _Type __r4 = __r3 - __k % __n;
- __r4 = __detail::__mod<_Type,
- __detail::_Shift<_Type, 32>::__value>(__r4);
- __begin[(__k + __p) % __n] ^= __r3;
- __begin[(__k + __q) % __n] ^= __r4;
- __begin[__k % __n] = __r4;
+ const size_t __kn = __k % __n;
+ const size_t __kpn = (__k + __p) % __n;
+ const size_t __kqn = (__k + __q) % __n;
+ uint32_t __arg = (__begin[__kn]
+ + __begin[__kpn]
+ + __begin[(__k - 1) % __n]);
+ uint32_t __r3 = 1566083941u * (__arg ^ (__arg >> 27));
+ uint32_t __r4 = __r3 - __kn;
+ __begin[__kpn] ^= __r3;
+ __begin[__kqn] ^= __r4;
+ __begin[__kn] = __r4;
}
}
_RealType
generate_canonical(_UniformRandomNumberGenerator& __urng)
{
+ static_assert(std::is_floating_point<_RealType>::value,
+ "template argument must be a floating point type");
+
const size_t __b
= std::min(static_cast<size_t>(std::numeric_limits<_RealType>::digits),
__bits);
const long double __r = static_cast<long double>(__urng.max())
- static_cast<long double>(__urng.min()) + 1.0L;
const size_t __log2r = std::log(__r) / std::log(2.0L);
- size_t __k = std::max<size_t>(1UL, (__b + __log2r - 1UL) / __log2r);
+ const size_t __m = std::max<size_t>(1UL,
+ (__b + __log2r - 1UL) / __log2r);
+ _RealType __ret;
_RealType __sum = _RealType(0);
_RealType __tmp = _RealType(1);
- for (; __k != 0; --__k)
+ for (size_t __k = __m; __k != 0; --__k)
{
__sum += _RealType(__urng() - __urng.min()) * __tmp;
__tmp *= __r;
}
- return __sum / __tmp;
+ __ret = __sum / __tmp;
+ if (__builtin_expect(__ret >= _RealType(1), 0))
+ {
+#if _GLIBCXX_USE_C99_MATH_TR1
+ __ret = std::nextafter(_RealType(1), _RealType(0));
+#else
+ __ret = _RealType(1)
+ - std::numeric_limits<_RealType>::epsilon() / _RealType(2);
+#endif
+ }
+ return __ret;
}
_GLIBCXX_END_NAMESPACE_VERSION
projects / thirdparty / gcc.git / blobdiff