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diff --git a/contrib/llvm-project/libcxx/include/__random/binomial_distribution.h b/contrib/llvm-project/libcxx/include/__random/binomial_distribution.h
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+++ b/contrib/llvm-project/libcxx/include/__random/binomial_distribution.h
@@ -0,0 +1,198 @@
+//===----------------------------------------------------------------------===//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+
+#ifndef _LIBCPP___RANDOM_BINOMIAL_DISTRIBUTION_H
+#define _LIBCPP___RANDOM_BINOMIAL_DISTRIBUTION_H
+
+#include <__config>
+#include <__random/is_valid.h>
+#include <__random/uniform_real_distribution.h>
+#include <cmath>
+#include <iosfwd>
+
+#if !defined(_LIBCPP_HAS_NO_PRAGMA_SYSTEM_HEADER)
+# pragma GCC system_header
+#endif
+
+_LIBCPP_PUSH_MACROS
+#include <__undef_macros>
+
+_LIBCPP_BEGIN_NAMESPACE_STD
+
+template <class _IntType = int>
+class _LIBCPP_TEMPLATE_VIS binomial_distribution {
+ static_assert(__libcpp_random_is_valid_inttype<_IntType>::value, "IntType must be a supported integer type");
+
+public:
+ // types
+ typedef _IntType result_type;
+
+ class _LIBCPP_TEMPLATE_VIS param_type {
+ result_type __t_;
+ double __p_;
+ double __pr_;
+ double __odds_ratio_;
+ result_type __r0_;
+
+ public:
+ typedef binomial_distribution distribution_type;
+
+ _LIBCPP_HIDE_FROM_ABI explicit param_type(result_type __t = 1, double __p = 0.5);
+
+ _LIBCPP_HIDE_FROM_ABI result_type t() const { return __t_; }
+ _LIBCPP_HIDE_FROM_ABI double p() const { return __p_; }
+
+ friend _LIBCPP_HIDE_FROM_ABI bool operator==(const param_type& __x, const param_type& __y) {
+ return __x.__t_ == __y.__t_ && __x.__p_ == __y.__p_;
+ }
+ friend _LIBCPP_HIDE_FROM_ABI bool operator!=(const param_type& __x, const param_type& __y) { return !(__x == __y); }
+
+ friend class binomial_distribution;
+ };
+
+private:
+ param_type __p_;
+
+public:
+ // constructors and reset functions
+#ifndef _LIBCPP_CXX03_LANG
+ _LIBCPP_HIDE_FROM_ABI binomial_distribution() : binomial_distribution(1) {}
+ _LIBCPP_HIDE_FROM_ABI explicit binomial_distribution(result_type __t, double __p = 0.5)
+ : __p_(param_type(__t, __p)) {}
+#else
+ _LIBCPP_HIDE_FROM_ABI explicit binomial_distribution(result_type __t = 1, double __p = 0.5)
+ : __p_(param_type(__t, __p)) {}
+#endif
+ _LIBCPP_HIDE_FROM_ABI explicit binomial_distribution(const param_type& __p) : __p_(__p) {}
+ _LIBCPP_HIDE_FROM_ABI void reset() {}
+
+ // generating functions
+ template <class _URNG>
+ _LIBCPP_HIDE_FROM_ABI result_type operator()(_URNG& __g) {
+ return (*this)(__g, __p_);
+ }
+ template <class _URNG>
+ _LIBCPP_HIDE_FROM_ABI result_type operator()(_URNG& __g, const param_type& __p);
+
+ // property functions
+ _LIBCPP_HIDE_FROM_ABI result_type t() const { return __p_.t(); }
+ _LIBCPP_HIDE_FROM_ABI double p() const { return __p_.p(); }
+
+ _LIBCPP_HIDE_FROM_ABI param_type param() const { return __p_; }
+ _LIBCPP_HIDE_FROM_ABI void param(const param_type& __p) { __p_ = __p; }
+
+ _LIBCPP_HIDE_FROM_ABI result_type min() const { return 0; }
+ _LIBCPP_HIDE_FROM_ABI result_type max() const { return t(); }
+
+ friend _LIBCPP_HIDE_FROM_ABI bool operator==(const binomial_distribution& __x, const binomial_distribution& __y) {
+ return __x.__p_ == __y.__p_;
+ }
+ friend _LIBCPP_HIDE_FROM_ABI bool operator!=(const binomial_distribution& __x, const binomial_distribution& __y) {
+ return !(__x == __y);
+ }
+};
+
+#ifndef _LIBCPP_MSVCRT_LIKE
+extern "C" double lgamma_r(double, int*);
+#endif
+
+inline _LIBCPP_HIDE_FROM_ABI double __libcpp_lgamma(double __d) {
+#if defined(_LIBCPP_MSVCRT_LIKE)
+ return lgamma(__d);
+#else
+ int __sign;
+ return lgamma_r(__d, &__sign);
+#endif
+}
+
+template <class _IntType>
+binomial_distribution<_IntType>::param_type::param_type(result_type __t, double __p) : __t_(__t), __p_(__p) {
+ if (0 < __p_ && __p_ < 1) {
+ __r0_ = static_cast<result_type>((__t_ + 1) * __p_);
+ __pr_ = std::exp(
+ std::__libcpp_lgamma(__t_ + 1.) - std::__libcpp_lgamma(__r0_ + 1.) - std::__libcpp_lgamma(__t_ - __r0_ + 1.) +
+ __r0_ * std::log(__p_) + (__t_ - __r0_) * std::log(1 - __p_));
+ __odds_ratio_ = __p_ / (1 - __p_);
+ }
+}
+
+// Reference: Kemp, C.D. (1986). `A modal method for generating binomial
+// variables', Commun. Statist. - Theor. Meth. 15(3), 805-813.
+template <class _IntType>
+template <class _URNG>
+_IntType binomial_distribution<_IntType>::operator()(_URNG& __g, const param_type& __pr) {
+ static_assert(__libcpp_random_is_valid_urng<_URNG>::value, "");
+ if (__pr.__t_ == 0 || __pr.__p_ == 0)
+ return 0;
+ if (__pr.__p_ == 1)
+ return __pr.__t_;
+ uniform_real_distribution<double> __gen;
+ double __u = __gen(__g) - __pr.__pr_;
+ if (__u < 0)
+ return __pr.__r0_;
+ double __pu = __pr.__pr_;
+ double __pd = __pu;
+ result_type __ru = __pr.__r0_;
+ result_type __rd = __ru;
+ while (true) {
+ bool __break = true;
+ if (__rd >= 1) {
+ __pd *= __rd / (__pr.__odds_ratio_ * (__pr.__t_ - __rd + 1));
+ __u -= __pd;
+ __break = false;
+ if (__u < 0)
+ return __rd - 1;
+ }
+ if (__rd != 0)
+ --__rd;
+ ++__ru;
+ if (__ru <= __pr.__t_) {
+ __pu *= (__pr.__t_ - __ru + 1) * __pr.__odds_ratio_ / __ru;
+ __u -= __pu;
+ __break = false;
+ if (__u < 0)
+ return __ru;
+ }
+ if (__break)
+ return 0;
+ }
+}
+
+template <class _CharT, class _Traits, class _IntType>
+_LIBCPP_HIDE_FROM_ABI basic_ostream<_CharT, _Traits>&
+operator<<(basic_ostream<_CharT, _Traits>& __os, const binomial_distribution<_IntType>& __x) {
+ __save_flags<_CharT, _Traits> __lx(__os);
+ typedef basic_ostream<_CharT, _Traits> _OStream;
+ __os.flags(_OStream::dec | _OStream::left | _OStream::fixed | _OStream::scientific);
+ _CharT __sp = __os.widen(' ');
+ __os.fill(__sp);
+ return __os << __x.t() << __sp << __x.p();
+}
+
+template <class _CharT, class _Traits, class _IntType>
+_LIBCPP_HIDE_FROM_ABI basic_istream<_CharT, _Traits>&
+operator>>(basic_istream<_CharT, _Traits>& __is, binomial_distribution<_IntType>& __x) {
+ typedef binomial_distribution<_IntType> _Eng;
+ typedef typename _Eng::result_type result_type;
+ typedef typename _Eng::param_type param_type;
+ __save_flags<_CharT, _Traits> __lx(__is);
+ typedef basic_istream<_CharT, _Traits> _Istream;
+ __is.flags(_Istream::dec | _Istream::skipws);
+ result_type __t;
+ double __p;
+ __is >> __t >> __p;
+ if (!__is.fail())
+ __x.param(param_type(__t, __p));
+ return __is;
+}
+
+_LIBCPP_END_NAMESPACE_STD
+
+_LIBCPP_POP_MACROS
+
+#endif // _LIBCPP___RANDOM_BINOMIAL_DISTRIBUTION_H