Filename: //proc/66886/root/usr//include/c++/10/pstl//parallel_backend_serial.h

// -*- C++ -*- //===-- parallel_backend_serial.h -----------------------------------------===// // // 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 _PSTL_PARALLEL_BACKEND_SERIAL_H #define _PSTL_PARALLEL_BACKEND_SERIAL_H #include <algorithm> #include <cstddef> #include <memory> #include <numeric> #include <utility> namespace __pstl { namespace __serial { template <typename _Tp> class __buffer { std::allocator<_Tp> __allocator_; _Tp* __ptr_; const std::size_t __buf_size_; __buffer(const __buffer&) = delete; void operator=(const __buffer&) = delete; public: __buffer(std::size_t __n) : __allocator_(), __ptr_(__allocator_.allocate(__n)), __buf_size_(__n) {} operator bool() const { return __ptr_ != nullptr; } _Tp* get() const { return __ptr_; } ~__buffer() { __allocator_.deallocate(__ptr_, __buf_size_); } }; inline void __cancel_execution() { } template <class _ExecutionPolicy, class _Index, class _Fp> void __parallel_for(_ExecutionPolicy&&, _Index __first, _Index __last, _Fp __f) { __f(__first, __last); } template <class _ExecutionPolicy, class _Value, class _Index, typename _RealBody, typename _Reduction> _Value __parallel_reduce(_ExecutionPolicy&&, _Index __first, _Index __last, const _Value& __identity, const _RealBody& __real_body, const _Reduction&) { if (__first == __last) { return __identity; } else { return __real_body(__first, __last, __identity); } } template <class _ExecutionPolicy, class _Index, class _UnaryOp, class _Tp, class _BinaryOp, class _Reduce> _Tp __parallel_transform_reduce(_ExecutionPolicy&&, _Index __first, _Index __last, _UnaryOp, _Tp __init, _BinaryOp, _Reduce __reduce) { return __reduce(__first, __last, __init); } template <class _ExecutionPolicy, typename _Index, typename _Tp, typename _Rp, typename _Cp, typename _Sp, typename _Ap> void __parallel_strict_scan(_ExecutionPolicy&&, _Index __n, _Tp __initial, _Rp __reduce, _Cp __combine, _Sp __scan, _Ap __apex) { _Tp __sum = __initial; if (__n) __sum = __combine(__sum, __reduce(_Index(0), __n)); __apex(__sum); if (__n) __scan(_Index(0), __n, __initial); } template <class _ExecutionPolicy, class _Index, class _UnaryOp, class _Tp, class _BinaryOp, class _Reduce, class _Scan> _Tp __parallel_transform_scan(_ExecutionPolicy&&, _Index __n, _UnaryOp, _Tp __init, _BinaryOp, _Reduce, _Scan __scan) { return __scan(_Index(0), __n, __init); } template <class _ExecutionPolicy, typename _RandomAccessIterator, typename _Compare, typename _LeafSort> void __parallel_stable_sort(_ExecutionPolicy&&, _RandomAccessIterator __first, _RandomAccessIterator __last, _Compare __comp, _LeafSort __leaf_sort, std::size_t = 0) { __leaf_sort(__first, __last, __comp); } template <class _ExecutionPolicy, typename _RandomAccessIterator1, typename _RandomAccessIterator2, typename _RandomAccessIterator3, typename _Compare, typename _LeafMerge> void __parallel_merge(_ExecutionPolicy&&, _RandomAccessIterator1 __first1, _RandomAccessIterator1 __last1, _RandomAccessIterator2 __first2, _RandomAccessIterator2 __last2, _RandomAccessIterator3 __out, _Compare __comp, _LeafMerge __leaf_merge) { __leaf_merge(__first1, __last1, __first2, __last2, __out, __comp); } template <class _ExecutionPolicy, typename _F1, typename _F2> void __parallel_invoke(_ExecutionPolicy&&, _F1&& __f1, _F2&& __f2) { std::forward<_F1>(__f1)(); std::forward<_F2>(__f2)(); } } // namespace __serial } // namespace __pstl namespace __pstl { namespace __par_backend { using namespace __pstl::__serial; } } // namespace __pstl #endif /* _PSTL_PARALLEL_BACKEND_SERIAL_H */

./Ninja\.