forked from OSchip/llvm-project
[libc++] [ABI BREAK] Conform lognormal_distribution::param_type.
Fixes #52906. Differential Revision: https://reviews.llvm.org/D116344
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@ -119,6 +119,15 @@ ABI Changes
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constructing a ``std::random_device`` will now be ignored instead of interpreted as a
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file to read entropy from.
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- ``std::lognormal_distribution::param_type`` used to store a data member of type
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``std::normal_distribution``; now this member is stored in the ``lognormal_distribution``
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class itself, and the ``param_type`` stores only the mean and standard deviation,
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as required by the Standard. This changes ``sizeof(std::lognormal_distribution::param_type)``.
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You can define the ``_LIBCPP_ABI_OLD_LOGNORMAL_DISTRIBUTION`` macro to return to the
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previous behavior. That macro will be removed in LLVM 15. Please comment
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`here <https://llvm.org/PR52906>`_ if you are broken by this change and need to
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define the macro.
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Build System Changes
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--------------------
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@ -24,6 +24,8 @@ _LIBCPP_PUSH_MACROS
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_LIBCPP_BEGIN_NAMESPACE_STD
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#ifdef _LIBCPP_ABI_OLD_LOGNORMAL_DISTRIBUTION
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template<class _RealType = double>
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class _LIBCPP_TEMPLATE_VIS lognormal_distribution
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{
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@ -156,6 +158,140 @@ operator>>(basic_istream<_CharT, _Traits>& __is,
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return __is >> __x.__p_.__nd_;
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}
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#else // _LIBCPP_ABI_OLD_LOGNORMAL_DISTRIBUTION
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template<class _RealType = double>
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class _LIBCPP_TEMPLATE_VIS lognormal_distribution
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{
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public:
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// types
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typedef _RealType result_type;
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class _LIBCPP_TEMPLATE_VIS param_type
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{
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result_type __m_;
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result_type __s_;
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public:
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typedef lognormal_distribution distribution_type;
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_LIBCPP_INLINE_VISIBILITY
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explicit param_type(result_type __m = 0, result_type __s = 1)
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: __m_(__m), __s_(__s) {}
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_LIBCPP_INLINE_VISIBILITY
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result_type m() const {return __m_;}
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_LIBCPP_INLINE_VISIBILITY
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result_type s() const {return __s_;}
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friend _LIBCPP_INLINE_VISIBILITY
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bool operator==(const param_type& __x, const param_type& __y)
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{return __x.__m_ == __y.__m_ && __x.__s_ == __y.__s_;}
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friend _LIBCPP_INLINE_VISIBILITY
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bool operator!=(const param_type& __x, const param_type& __y)
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{return !(__x == __y);}
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};
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private:
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normal_distribution<result_type> __nd_;
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public:
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// constructor and reset functions
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#ifndef _LIBCPP_CXX03_LANG
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_LIBCPP_INLINE_VISIBILITY
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lognormal_distribution() : lognormal_distribution(0) {}
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_LIBCPP_INLINE_VISIBILITY
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explicit lognormal_distribution(result_type __m, result_type __s = 1)
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: __nd_(__m, __s) {}
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#else
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_LIBCPP_INLINE_VISIBILITY
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explicit lognormal_distribution(result_type __m = 0,
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result_type __s = 1)
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: __nd_(__m, __s) {}
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#endif
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_LIBCPP_INLINE_VISIBILITY
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explicit lognormal_distribution(const param_type& __p)
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: __nd_(__p.m(), __p.s()) {}
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_LIBCPP_INLINE_VISIBILITY
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void reset() {__nd_.reset();}
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// generating functions
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template<class _URNG>
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_LIBCPP_INLINE_VISIBILITY
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result_type operator()(_URNG& __g)
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{
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return _VSTD::exp(__nd_(__g));
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}
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template<class _URNG>
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_LIBCPP_INLINE_VISIBILITY
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result_type operator()(_URNG& __g, const param_type& __p)
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{
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typename normal_distribution<result_type>::param_type __pn(__p.m(), __p.s());
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return _VSTD::exp(__nd_(__g, __pn));
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}
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// property functions
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_LIBCPP_INLINE_VISIBILITY
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result_type m() const {return __nd_.mean();}
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_LIBCPP_INLINE_VISIBILITY
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result_type s() const {return __nd_.stddev();}
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_LIBCPP_INLINE_VISIBILITY
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param_type param() const {return param_type(__nd_.mean(), __nd_.stddev());}
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_LIBCPP_INLINE_VISIBILITY
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void param(const param_type& __p)
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{
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typename normal_distribution<result_type>::param_type __pn(__p.m(), __p.s());
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__nd_.param(__pn);
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}
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_LIBCPP_INLINE_VISIBILITY
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result_type min() const {return 0;}
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_LIBCPP_INLINE_VISIBILITY
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result_type max() const {return numeric_limits<result_type>::infinity();}
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friend _LIBCPP_INLINE_VISIBILITY
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bool operator==(const lognormal_distribution& __x,
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const lognormal_distribution& __y)
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{return __x.__nd_ == __y.__nd_;}
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friend _LIBCPP_INLINE_VISIBILITY
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bool operator!=(const lognormal_distribution& __x,
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const lognormal_distribution& __y)
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{return !(__x == __y);}
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template <class _CharT, class _Traits, class _RT>
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friend
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basic_ostream<_CharT, _Traits>&
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operator<<(basic_ostream<_CharT, _Traits>& __os,
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const lognormal_distribution<_RT>& __x);
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template <class _CharT, class _Traits, class _RT>
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friend
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basic_istream<_CharT, _Traits>&
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operator>>(basic_istream<_CharT, _Traits>& __is,
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lognormal_distribution<_RT>& __x);
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};
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template <class _CharT, class _Traits, class _RT>
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inline _LIBCPP_INLINE_VISIBILITY
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basic_ostream<_CharT, _Traits>&
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operator<<(basic_ostream<_CharT, _Traits>& __os,
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const lognormal_distribution<_RT>& __x)
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{
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return __os << __x.__nd_;
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}
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template <class _CharT, class _Traits, class _RT>
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inline _LIBCPP_INLINE_VISIBILITY
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basic_istream<_CharT, _Traits>&
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operator>>(basic_istream<_CharT, _Traits>& __is,
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lognormal_distribution<_RT>& __x)
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{
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return __is >> __x.__nd_;
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}
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#endif // _LIBCPP_ABI_OLD_LOGNORMAL_DISTRIBUTION
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_LIBCPP_END_NAMESPACE_STD
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_LIBCPP_POP_MACROS
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@ -0,0 +1,38 @@
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//===----------------------------------------------------------------------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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// <random>
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// template<class RealType = double>
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// class lognormal_distribution
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// template<class _URNG> result_type operator()(_URNG& g, const param_type& parm);
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// https://llvm.org/PR52906
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#include <random>
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#include <cassert>
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#include "test_macros.h"
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int main(int, char**)
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{
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typedef std::lognormal_distribution<> D;
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typedef D::param_type P;
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typedef std::mt19937 G;
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G g;
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D d;
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const P p1 = d.param();
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const P p2 = d.param();
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assert(p1 == p2);
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(void) d(g, p1); // This line must not modify p1.
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assert(p1 == p2);
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LIBCPP_ASSERT(p1 == d.param());
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return 0;
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}
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