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Implement std::experimental::sample.
Following specification in "C++ Extensions for Library Fundamentals": http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2015/n4480.html#alg.random.sample git-svn-id: https://llvm.org/svn/llvm-project/libcxx/trunk@237264 91177308-0d34-0410-b5e6-96231b3b80d8
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114
include/experimental/algorithm
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114
include/experimental/algorithm
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// -*- C++ -*-
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//===-------------------------- algorithm ---------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is dual licensed under the MIT and the University of Illinois Open
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// Source Licenses. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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#ifndef _LIBCPP_EXPERIMENTAL_ALGORITHM
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#define _LIBCPP_EXPERIMENTAL_ALGORITHM
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/*
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experimental/algorithm synopsis
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#include <algorithm>
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namespace std {
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namespace experimental {
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inline namespace fundamentals_v1 {
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template <class ForwardIterator, class Searcher>
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ForwardIterator search(ForwardIterator first, ForwardIterator last,
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const Searcher &searcher);
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template <class PopulationIterator, class SampleIterator, class Distance,
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class UniformRandomNumberGenerator>
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SampleIterator sample(PopulationIterator first, PopulationIterator last,
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SampleIterator out, Distance n,
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UniformRandomNumberGenerator &&g);
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} // namespace fundamentals_v1
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} // namespace experimental
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} // namespace std
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*/
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#include <experimental/__config>
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#include <algorithm>
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#include <type_traits>
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#include <__undef_min_max>
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#include <__debug>
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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_BEGIN_NAMESPACE_LFTS
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template <class _PopulationIterator, class _SampleIterator, class _Distance,
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class _UniformRandomNumberGenerator>
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_LIBCPP_INLINE_VISIBILITY
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_SampleIterator __sample(_PopulationIterator __first,
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_PopulationIterator __last, _SampleIterator __out,
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_Distance __n,
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_UniformRandomNumberGenerator &&__g,
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input_iterator_tag) {
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_Distance __k = 0;
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for (; __first != __last && __k < __n; ++__first, (void)++__k)
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__out[__k] = *__first;
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_Distance __sz = __k;
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for (; __first != __last; ++__first, (void)++__k) {
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_Distance __r = _VSTD::uniform_int_distribution<_Distance>(0, __k)(__g);
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if (__r < __sz)
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__out[__r] = *__first;
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}
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return __out + _VSTD::min(__n, __k);
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}
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template <class _PopulationIterator, class _SampleIterator, class _Distance,
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class _UniformRandomNumberGenerator>
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_LIBCPP_INLINE_VISIBILITY
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_SampleIterator __sample(_PopulationIterator __first,
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_PopulationIterator __last, _SampleIterator __out,
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_Distance __n,
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_UniformRandomNumberGenerator &&__g,
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forward_iterator_tag) {
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_Distance __unsampled_sz = _VSTD::distance(__first, __last);
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for (__n = _VSTD::min(__n, __unsampled_sz); __n != 0; ++__first) {
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_Distance __r =
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_VSTD::uniform_int_distribution<_Distance>(0, --__unsampled_sz)(__g);
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if (__r < __n) {
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*__out++ = *__first;
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--__n;
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}
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}
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return __out;
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}
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template <class _PopulationIterator, class _SampleIterator, class _Distance,
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class _UniformRandomNumberGenerator>
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_LIBCPP_INLINE_VISIBILITY
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_SampleIterator sample(_PopulationIterator __first,
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_PopulationIterator __last, _SampleIterator __out,
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_Distance __n, _UniformRandomNumberGenerator &&__g) {
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typedef typename iterator_traits<_PopulationIterator>::iterator_category
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_PopCategory;
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typedef typename iterator_traits<_PopulationIterator>::difference_type
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_Difference;
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typedef typename common_type<_Distance, _Difference>::type _CommonType;
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_LIBCPP_ASSERT(__n >= 0, "N must be a positive number.");
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return _VSTD_LFTS::__sample(
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__first, __last, __out, _CommonType(__n),
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_VSTD::forward<_UniformRandomNumberGenerator>(__g),
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_PopCategory());
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}
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_LIBCPP_END_NAMESPACE_LFTS
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#endif /* _LIBCPP_EXPERIMENTAL_ALGORITHM */
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#include <cwctype>
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#include <deque>
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#include <exception>
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#include <experimental/algorithm>
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#include <experimental/chrono>
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#include <experimental/dynarray>
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#include <experimental/optional>
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is dual licensed under the MIT and the University of Illinois Open
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// Source Licenses. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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// <experimental/algorithm>
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#include <experimental/algorithm>
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#ifndef _LIBCPP_ALGORITHM
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# error "<experimental/algorithm> must include <algorithm>"
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#endif
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int main()
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{
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}
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20
test/libcxx/experimental/algorithms/version.pass.cpp
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20
test/libcxx/experimental/algorithms/version.pass.cpp
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is dual licensed under the MIT and the University of Illinois Open
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// Source Licenses. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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// <experimental/algorithm>
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#include <experimental/algorithm>
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#ifndef _LIBCPP_VERSION
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# error _LIBCPP_VERSION not defined
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#endif
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int main()
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{
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}
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is dual licensed under the MIT and the University of Illinois Open
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// Source Licenses. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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// <algorithm>
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// template <class PopulationIterator, class SampleIterator, class Distance,
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// class UniformRandomNumberGenerator>
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// SampleIterator sample(PopulationIterator first, PopulationIterator last,
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// SampleIterator out, Distance n,
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// UniformRandomNumberGenerator &&g);
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#include <experimental/algorithm>
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#include <random>
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#include <cassert>
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#include "test_iterators.h"
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template <class PopulationIterator, class SampleIterator> void test() {
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int ia[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
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const unsigned is = sizeof(ia) / sizeof(ia[0]);
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const unsigned os = 4;
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int oa[os];
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std::minstd_rand g;
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std::experimental::sample(PopulationIterator(ia), PopulationIterator(ia + is),
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SampleIterator(oa), os, g);
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}
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int main() {
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test<input_iterator<int *>, output_iterator<int *> >();
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}
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is dual licensed under the MIT and the University of Illinois Open
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// Source Licenses. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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// <algorithm>
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// template <class PopulationIterator, class SampleIterator, class Distance,
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// class UniformRandomNumberGenerator>
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// SampleIterator sample(PopulationIterator first, PopulationIterator last,
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// SampleIterator out, Distance n,
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// UniformRandomNumberGenerator &&g);
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#include <experimental/algorithm>
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#include <random>
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#include <cassert>
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#include "test_iterators.h"
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struct ReservoirSampleExpectations {
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enum { os = 4 };
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static int oa1[os];
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static int oa2[os];
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};
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int ReservoirSampleExpectations::oa1[] = {10, 5, 9, 4};
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int ReservoirSampleExpectations::oa2[] = {5, 2, 10, 4};
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struct SelectionSampleExpectations {
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enum { os = 4 };
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static int oa1[os];
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static int oa2[os];
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};
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int SelectionSampleExpectations::oa1[] = {1, 4, 6, 7};
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int SelectionSampleExpectations::oa2[] = {1, 2, 6, 8};
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template <class IteratorCategory> struct TestExpectations
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: public SelectionSampleExpectations {};
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template <>
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struct TestExpectations<std::input_iterator_tag>
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: public ReservoirSampleExpectations {};
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template <template<class> class PopulationIteratorType, class PopulationItem,
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template<class> class SampleIteratorType, class SampleItem>
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void test() {
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typedef PopulationIteratorType<PopulationItem *> PopulationIterator;
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typedef SampleIteratorType<SampleItem *> SampleIterator;
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PopulationItem ia[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
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const unsigned is = sizeof(ia) / sizeof(ia[0]);
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typedef TestExpectations<typename std::iterator_traits<
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PopulationIterator>::iterator_category> Expectations;
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const unsigned os = Expectations::os;
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SampleItem oa[os];
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const int *oa1 = Expectations::oa1;
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const int *oa2 = Expectations::oa2;
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std::minstd_rand g;
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SampleIterator end;
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end = std::experimental::sample(PopulationIterator(ia),
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PopulationIterator(ia + is),
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SampleIterator(oa), os, g);
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assert(&*end - oa == std::min(os, is));
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assert(std::equal(oa, oa + os, oa1));
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end = std::experimental::sample(PopulationIterator(ia),
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PopulationIterator(ia + is),
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SampleIterator(oa), os, g);
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assert(&*end - oa == std::min(os, is));
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assert(std::equal(oa, oa + os, oa2));
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}
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template <template<class> class PopulationIteratorType, class PopulationItem,
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template<class> class SampleIteratorType, class SampleItem>
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void test_empty_population() {
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typedef PopulationIteratorType<PopulationItem *> PopulationIterator;
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typedef SampleIteratorType<SampleItem *> SampleIterator;
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PopulationItem ia[] = {42};
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const unsigned os = 4;
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SampleItem oa[os];
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std::minstd_rand g;
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SampleIterator end =
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std::experimental::sample(PopulationIterator(ia), PopulationIterator(ia),
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SampleIterator(oa), os, g);
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assert(&*end == oa);
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}
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template <template<class> class PopulationIteratorType, class PopulationItem,
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template<class> class SampleIteratorType, class SampleItem>
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void test_empty_sample() {
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typedef PopulationIteratorType<PopulationItem *> PopulationIterator;
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typedef SampleIteratorType<SampleItem *> SampleIterator;
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PopulationItem ia[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
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const unsigned is = sizeof(ia) / sizeof(ia[0]);
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SampleItem oa[1];
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std::minstd_rand g;
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SampleIterator end =
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std::experimental::sample(PopulationIterator(ia), PopulationIterator(ia + is),
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SampleIterator(oa), 0, g);
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assert(&*end == oa);
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}
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template <template<class> class PopulationIteratorType, class PopulationItem,
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template<class> class SampleIteratorType, class SampleItem>
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void test_small_population() {
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// The population size is less than the sample size.
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typedef PopulationIteratorType<PopulationItem *> PopulationIterator;
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typedef SampleIteratorType<SampleItem *> SampleIterator;
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PopulationItem ia[] = {1, 2, 3, 4, 5};
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const unsigned is = sizeof(ia) / sizeof(ia[0]);
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const unsigned os = 8;
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SampleItem oa[os];
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const SampleItem oa1[] = {1, 2, 3, 4, 5};
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std::minstd_rand g;
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SampleIterator end;
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end = std::experimental::sample(PopulationIterator(ia),
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PopulationIterator(ia + is),
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SampleIterator(oa), os, g);
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assert(&*end - oa == std::min(os, is));
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assert(std::equal(oa, &*end, oa1));
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}
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int main() {
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test<input_iterator, int, random_access_iterator, int>();
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test<forward_iterator, int, output_iterator, int>();
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test<forward_iterator, int, random_access_iterator, int>();
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test<input_iterator, int, random_access_iterator, double>();
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test<forward_iterator, int, output_iterator, double>();
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test<forward_iterator, int, random_access_iterator, double>();
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test_empty_population<input_iterator, int, random_access_iterator, int>();
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test_empty_population<forward_iterator, int, output_iterator, int>();
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test_empty_population<forward_iterator, int, random_access_iterator, int>();
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test_empty_sample<input_iterator, int, random_access_iterator, int>();
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test_empty_sample<forward_iterator, int, output_iterator, int>();
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test_empty_sample<forward_iterator, int, random_access_iterator, int>();
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test_small_population<input_iterator, int, random_access_iterator, int>();
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test_small_population<forward_iterator, int, output_iterator, int>();
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test_small_population<forward_iterator, int, random_access_iterator, int>();
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}
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//===----------------------------------------------------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is dual licensed under the MIT and the University of Illinois Open
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// Source Licenses. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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// <algorithm>
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// template <class PopulationIterator, class SampleIterator, class Distance,
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// class UniformRandomNumberGenerator>
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// SampleIterator sample(PopulationIterator first, PopulationIterator last,
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// SampleIterator out, Distance n,
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// UniformRandomNumberGenerator &&g);
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#include <experimental/algorithm>
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#include <random>
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#include <cassert>
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#include "test_iterators.h"
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// Stable if and only if PopulationIterator meets the requirements of a
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// ForwardIterator type.
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template <class PopulationIterator, class SampleIterator>
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void test_stability(bool expect_stable) {
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const unsigned kPopulationSize = 100;
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int ia[kPopulationSize];
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for (unsigned i = 0; i < kPopulationSize; ++i)
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ia[i] = i;
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PopulationIterator first(ia);
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PopulationIterator last(ia + kPopulationSize);
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const unsigned kSampleSize = 20;
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int oa[kPopulationSize];
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SampleIterator out(oa);
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std::minstd_rand g;
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const int kIterations = 1000;
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bool unstable = false;
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for (int i = 0; i < kIterations; ++i) {
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std::experimental::sample(first, last, out, kSampleSize, g);
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unstable |= !std::is_sorted(oa, oa + kSampleSize);
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}
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assert(expect_stable == !unstable);
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}
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int main() {
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test_stability<forward_iterator<int *>, output_iterator<int *> >(true);
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test_stability<input_iterator<int *>, random_access_iterator<int *> >(false);
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}
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<tr><td>class any</td><td>Implementation in progress</td></tr>
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<tr><td>string_view</td><td>Implementation in progress</td></tr>
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<tr><td>memory</td><td>Implementation in progress</td></tr>
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<tr><td>Algorithms library</td><td>Not started</td></tr>
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<tr><td>Algorithms library</td><td>Implementation in progress</td></tr>
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</table>
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