Merge commit e8316372b from llvm git (by Louis Dionne):
[libc++] Add `__truncating_cast` for safely casting float types to integers This is needed anytime we need to clamp an arbitrary floating point value to an integer type. Thanks to Eric Fiselier for the patch. Differential Revision: https://reviews.llvm.org/D66836 llvm-svn: 370891 Merge commit b92deded8 from llvm git (by Louis Dionne): [libc++] Move __clamp_to_integral to <cmath>, and harden against min()/max() macros llvm-svn: 370900 Merge commit 0ec6a4882 from llvm git (by Louis Dionne): [libc++] Fix potential OOB in poisson_distribution See details in the original Chromium bug report: https://bugs.chromium.org/p/chromium/issues/detail?id=994957 Together, these fix a security issue in libc++'s implementation of std::poisson_distribution, which can be exploited to read data which is out of bounds. Note there are no programs in the FreeBSD base system that use std::poisson_distribution, so this is only a possible issue for ports and external programs which have been built against libc++. Therefore, I am bumping __FreeBSD_version for the benefit of our port maintainers. Requested by: emaste Security: potential OOB read MFC after: 3 days
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@ -303,11 +303,15 @@ long double truncl(long double x);
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#include <__config>
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#include <math.h>
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#include <version>
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#include <type_traits>
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#if !defined(_LIBCPP_HAS_NO_PRAGMA_SYSTEM_HEADER)
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#pragma GCC system_header
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#endif
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_LIBCPP_PUSH_MACROS
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#include <__undef_macros>
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_LIBCPP_BEGIN_NAMESPACE_STD
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using ::signbit;
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@ -632,6 +636,38 @@ lerp(long double __a, long double __b, long double __t) _NOEXCEPT { return __ler
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#endif // _LIBCPP_STD_VER > 17
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template <class _IntT, class _FloatT,
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bool _FloatBigger = (numeric_limits<_FloatT>::digits > numeric_limits<_IntT>::digits),
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int _Bits = (numeric_limits<_IntT>::digits - numeric_limits<_FloatT>::digits)>
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_LIBCPP_INLINE_VISIBILITY
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_LIBCPP_CONSTEXPR _IntT __max_representable_int_for_float() _NOEXCEPT {
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static_assert(is_floating_point<_FloatT>::value, "must be a floating point type");
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static_assert(is_integral<_IntT>::value, "must be an integral type");
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static_assert(numeric_limits<_FloatT>::radix == 2, "FloatT has incorrect radix");
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static_assert(_IsSame<_FloatT, float>::value || _IsSame<_FloatT, double>::value
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|| _IsSame<_FloatT,long double>::value, "unsupported floating point type");
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return _FloatBigger ? numeric_limits<_IntT>::max() : (numeric_limits<_IntT>::max() >> _Bits << _Bits);
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}
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// Convert a floating point number to the specified integral type after
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// clamping to the integral types representable range.
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//
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// The behavior is undefined if `__r` is NaN.
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template <class _IntT, class _RealT>
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_LIBCPP_INLINE_VISIBILITY
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_IntT __clamp_to_integral(_RealT __r) _NOEXCEPT {
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using _Lim = std::numeric_limits<_IntT>;
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const _IntT _MaxVal = std::__max_representable_int_for_float<_IntT, _RealT>();
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if (__r >= ::nextafter(static_cast<_RealT>(_MaxVal), INFINITY)) {
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return _Lim::max();
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} else if (__r <= _Lim::lowest()) {
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return _Lim::min();
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}
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return static_cast<_IntT>(__r);
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}
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_LIBCPP_END_NAMESPACE_STD
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_LIBCPP_POP_MACROS
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#endif // _LIBCPP_CMATH
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@ -4592,7 +4592,10 @@ public:
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template<class _IntType>
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poisson_distribution<_IntType>::param_type::param_type(double __mean)
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: __mean_(__mean)
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// According to the standard `inf` is a valid input, but it causes the
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// distribution to hang, so we replace it with the maximum representable
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// mean.
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: __mean_(isinf(__mean) ? numeric_limits<double>::max() : __mean)
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{
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if (__mean_ < 10)
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{
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@ -4610,7 +4613,7 @@ poisson_distribution<_IntType>::param_type::param_type(double __mean)
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{
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__s_ = _VSTD::sqrt(__mean_);
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__d_ = 6 * __mean_ * __mean_;
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__l_ = static_cast<result_type>(__mean_ - 1.1484);
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__l_ = std::trunc(__mean_ - 1.1484);
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__omega_ = .3989423 / __s_;
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double __b1_ = .4166667E-1 / __mean_;
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double __b2_ = .3 * __b1_ * __b1_;
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@ -4627,12 +4630,12 @@ template<class _URNG>
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_IntType
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poisson_distribution<_IntType>::operator()(_URNG& __urng, const param_type& __pr)
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{
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result_type __x;
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double __tx;
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uniform_real_distribution<double> __urd;
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if (__pr.__mean_ < 10)
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{
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__x = 0;
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for (double __p = __urd(__urng); __p > __pr.__l_; ++__x)
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__tx = 0;
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for (double __p = __urd(__urng); __p > __pr.__l_; ++__tx)
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__p *= __urd(__urng);
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}
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else
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@ -4642,19 +4645,19 @@ poisson_distribution<_IntType>::operator()(_URNG& __urng, const param_type& __pr
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double __u;
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if (__g > 0)
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{
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__x = static_cast<result_type>(__g);
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if (__x >= __pr.__l_)
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return __x;
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__difmuk = __pr.__mean_ - __x;
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__tx = std::trunc(__g);
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if (__tx >= __pr.__l_)
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return std::__clamp_to_integral<result_type>(__tx);
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__difmuk = __pr.__mean_ - __tx;
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__u = __urd(__urng);
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if (__pr.__d_ * __u >= __difmuk * __difmuk * __difmuk)
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return __x;
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return std::__clamp_to_integral<result_type>(__tx);
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}
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exponential_distribution<double> __edist;
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for (bool __using_exp_dist = false; true; __using_exp_dist = true)
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{
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double __e;
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if (__using_exp_dist || __g < 0)
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if (__using_exp_dist || __g <= 0)
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{
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double __t;
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do
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@ -4664,31 +4667,31 @@ poisson_distribution<_IntType>::operator()(_URNG& __urng, const param_type& __pr
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__u += __u - 1;
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__t = 1.8 + (__u < 0 ? -__e : __e);
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} while (__t <= -.6744);
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__x = __pr.__mean_ + __pr.__s_ * __t;
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__difmuk = __pr.__mean_ - __x;
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__tx = std::trunc(__pr.__mean_ + __pr.__s_ * __t);
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__difmuk = __pr.__mean_ - __tx;
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__using_exp_dist = true;
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}
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double __px;
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double __py;
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if (__x < 10)
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if (__tx < 10 && __tx >= 0)
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{
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const double __fac[] = {1, 1, 2, 6, 24, 120, 720, 5040,
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40320, 362880};
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__px = -__pr.__mean_;
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__py = _VSTD::pow(__pr.__mean_, (double)__x) / __fac[__x];
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__py = _VSTD::pow(__pr.__mean_, (double)__tx) / __fac[static_cast<int>(__tx)];
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}
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else
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{
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double __del = .8333333E-1 / __x;
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double __del = .8333333E-1 / __tx;
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__del -= 4.8 * __del * __del * __del;
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double __v = __difmuk / __x;
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double __v = __difmuk / __tx;
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if (_VSTD::abs(__v) > 0.25)
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__px = __x * _VSTD::log(1 + __v) - __difmuk - __del;
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__px = __tx * _VSTD::log(1 + __v) - __difmuk - __del;
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else
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__px = __x * __v * __v * (((((((.1250060 * __v + -.1384794) *
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__px = __tx * __v * __v * (((((((.1250060 * __v + -.1384794) *
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__v + .1421878) * __v + -.1661269) * __v + .2000118) *
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__v + -.2500068) * __v + .3333333) * __v + -.5) - __del;
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__py = .3989423 / _VSTD::sqrt(__x);
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__py = .3989423 / _VSTD::sqrt(__tx);
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}
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double __r = (0.5 - __difmuk) / __pr.__s_;
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double __r2 = __r * __r;
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@ -4708,7 +4711,7 @@ poisson_distribution<_IntType>::operator()(_URNG& __urng, const param_type& __pr
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}
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}
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}
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return __x;
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return std::__clamp_to_integral<result_type>(__tx);
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}
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template <class _CharT, class _Traits, class _IntType>
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* in the range 5 to 9.
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*/
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#undef __FreeBSD_version
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#define __FreeBSD_version 1300055 /* Master, propagated to newvers */
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#define __FreeBSD_version 1300056 /* Master, propagated to newvers */
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/*
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* __FreeBSD_kernel__ indicates that this system uses the kernel of FreeBSD,
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