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diff --git a/contrib/llvm-project/libcxx/include/__random/discrete_distribution.h b/contrib/llvm-project/libcxx/include/__random/discrete_distribution.h
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@@ -0,0 +1,212 @@
+//===----------------------------------------------------------------------===//
+//
+// 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_DISCRETE_DISTRIBUTION_H
+#define _LIBCPP___RANDOM_DISCRETE_DISTRIBUTION_H
+
+#include <__algorithm/upper_bound.h>
+#include <__config>
+#include <__random/is_valid.h>
+#include <__random/uniform_real_distribution.h>
+#include <cstddef>
+#include <iosfwd>
+#include <numeric>
+#include <vector>
+
+#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 discrete_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 {
+ vector<double> __p_;
+
+ public:
+ typedef discrete_distribution distribution_type;
+
+ _LIBCPP_HIDE_FROM_ABI param_type() {}
+ template <class _InputIterator>
+ _LIBCPP_HIDE_FROM_ABI param_type(_InputIterator __f, _InputIterator __l) : __p_(__f, __l) {
+ __init();
+ }
+#ifndef _LIBCPP_CXX03_LANG
+ _LIBCPP_HIDE_FROM_ABI param_type(initializer_list<double> __wl) : __p_(__wl.begin(), __wl.end()) { __init(); }
+#endif // _LIBCPP_CXX03_LANG
+ template <class _UnaryOperation>
+ _LIBCPP_HIDE_FROM_ABI param_type(size_t __nw, double __xmin, double __xmax, _UnaryOperation __fw);
+
+ _LIBCPP_HIDE_FROM_ABI vector<double> probabilities() const;
+
+ friend _LIBCPP_HIDE_FROM_ABI bool operator==(const param_type& __x, const param_type& __y) {
+ return __x.__p_ == __y.__p_;
+ }
+ friend _LIBCPP_HIDE_FROM_ABI bool operator!=(const param_type& __x, const param_type& __y) { return !(__x == __y); }
+
+ private:
+ _LIBCPP_HIDE_FROM_ABI void __init();
+
+ friend class discrete_distribution;
+
+ template <class _CharT, class _Traits, class _IT>
+ friend basic_ostream<_CharT, _Traits>&
+ operator<<(basic_ostream<_CharT, _Traits>& __os, const discrete_distribution<_IT>& __x);
+
+ template <class _CharT, class _Traits, class _IT>
+ friend basic_istream<_CharT, _Traits>&
+ operator>>(basic_istream<_CharT, _Traits>& __is, discrete_distribution<_IT>& __x);
+ };
+
+private:
+ param_type __p_;
+
+public:
+ // constructor and reset functions
+ _LIBCPP_HIDE_FROM_ABI discrete_distribution() {}
+ template <class _InputIterator>
+ _LIBCPP_HIDE_FROM_ABI discrete_distribution(_InputIterator __f, _InputIterator __l) : __p_(__f, __l) {}
+#ifndef _LIBCPP_CXX03_LANG
+ _LIBCPP_HIDE_FROM_ABI discrete_distribution(initializer_list<double> __wl) : __p_(__wl) {}
+#endif // _LIBCPP_CXX03_LANG
+ template <class _UnaryOperation>
+ _LIBCPP_HIDE_FROM_ABI discrete_distribution(size_t __nw, double __xmin, double __xmax, _UnaryOperation __fw)
+ : __p_(__nw, __xmin, __xmax, __fw) {}
+ _LIBCPP_HIDE_FROM_ABI explicit discrete_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 vector<double> probabilities() const { return __p_.probabilities(); }
+
+ _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 __p_.__p_.size(); }
+
+ friend _LIBCPP_HIDE_FROM_ABI bool operator==(const discrete_distribution& __x, const discrete_distribution& __y) {
+ return __x.__p_ == __y.__p_;
+ }
+ friend _LIBCPP_HIDE_FROM_ABI bool operator!=(const discrete_distribution& __x, const discrete_distribution& __y) {
+ return !(__x == __y);
+ }
+
+ template <class _CharT, class _Traits, class _IT>
+ friend basic_ostream<_CharT, _Traits>&
+ operator<<(basic_ostream<_CharT, _Traits>& __os, const discrete_distribution<_IT>& __x);
+
+ template <class _CharT, class _Traits, class _IT>
+ friend basic_istream<_CharT, _Traits>&
+ operator>>(basic_istream<_CharT, _Traits>& __is, discrete_distribution<_IT>& __x);
+};
+
+template <class _IntType>
+template <class _UnaryOperation>
+discrete_distribution<_IntType>::param_type::param_type(
+ size_t __nw, double __xmin, double __xmax, _UnaryOperation __fw) {
+ if (__nw > 1) {
+ __p_.reserve(__nw - 1);
+ double __d = (__xmax - __xmin) / __nw;
+ double __d2 = __d / 2;
+ for (size_t __k = 0; __k < __nw; ++__k)
+ __p_.push_back(__fw(__xmin + __k * __d + __d2));
+ __init();
+ }
+}
+
+template <class _IntType>
+void discrete_distribution<_IntType>::param_type::__init() {
+ if (!__p_.empty()) {
+ if (__p_.size() > 1) {
+ double __s = std::accumulate(__p_.begin(), __p_.end(), 0.0);
+ for (vector<double>::iterator __i = __p_.begin(), __e = __p_.end(); __i < __e; ++__i)
+ *__i /= __s;
+ vector<double> __t(__p_.size() - 1);
+ std::partial_sum(__p_.begin(), __p_.end() - 1, __t.begin());
+ swap(__p_, __t);
+ } else {
+ __p_.clear();
+ __p_.shrink_to_fit();
+ }
+ }
+}
+
+template <class _IntType>
+vector<double> discrete_distribution<_IntType>::param_type::probabilities() const {
+ size_t __n = __p_.size();
+ vector<double> __p(__n + 1);
+ std::adjacent_difference(__p_.begin(), __p_.end(), __p.begin());
+ if (__n > 0)
+ __p[__n] = 1 - __p_[__n - 1];
+ else
+ __p[0] = 1;
+ return __p;
+}
+
+template <class _IntType>
+template <class _URNG>
+_IntType discrete_distribution<_IntType>::operator()(_URNG& __g, const param_type& __p) {
+ static_assert(__libcpp_random_is_valid_urng<_URNG>::value, "");
+ uniform_real_distribution<double> __gen;
+ return static_cast<_IntType>(std::upper_bound(__p.__p_.begin(), __p.__p_.end(), __gen(__g)) - __p.__p_.begin());
+}
+
+template <class _CharT, class _Traits, class _IT>
+_LIBCPP_HIDE_FROM_ABI basic_ostream<_CharT, _Traits>&
+operator<<(basic_ostream<_CharT, _Traits>& __os, const discrete_distribution<_IT>& __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);
+ size_t __n = __x.__p_.__p_.size();
+ __os << __n;
+ for (size_t __i = 0; __i < __n; ++__i)
+ __os << __sp << __x.__p_.__p_[__i];
+ return __os;
+}
+
+template <class _CharT, class _Traits, class _IT>
+_LIBCPP_HIDE_FROM_ABI basic_istream<_CharT, _Traits>&
+operator>>(basic_istream<_CharT, _Traits>& __is, discrete_distribution<_IT>& __x) {
+ __save_flags<_CharT, _Traits> __lx(__is);
+ typedef basic_istream<_CharT, _Traits> _Istream;
+ __is.flags(_Istream::dec | _Istream::skipws);
+ size_t __n;
+ __is >> __n;
+ vector<double> __p(__n);
+ for (size_t __i = 0; __i < __n; ++__i)
+ __is >> __p[__i];
+ if (!__is.fail())
+ swap(__x.__p_.__p_, __p);
+ return __is;
+}
+
+_LIBCPP_END_NAMESPACE_STD
+
+_LIBCPP_POP_MACROS
+
+#endif // _LIBCPP___RANDOM_DISCRETE_DISTRIBUTION_H