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
This commit is contained in:
Evgeniy Stepanov 2015-05-13 16:55:41 +00:00
parent a5ad9ac48b
commit 56a8c6438a
8 changed files with 391 additions and 1 deletions

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// -*- C++ -*-
//===-------------------------- algorithm ---------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
#ifndef _LIBCPP_EXPERIMENTAL_ALGORITHM
#define _LIBCPP_EXPERIMENTAL_ALGORITHM
/*
experimental/algorithm synopsis
#include <algorithm>
namespace std {
namespace experimental {
inline namespace fundamentals_v1 {
template <class ForwardIterator, class Searcher>
ForwardIterator search(ForwardIterator first, ForwardIterator last,
const Searcher &searcher);
template <class PopulationIterator, class SampleIterator, class Distance,
class UniformRandomNumberGenerator>
SampleIterator sample(PopulationIterator first, PopulationIterator last,
SampleIterator out, Distance n,
UniformRandomNumberGenerator &&g);
} // namespace fundamentals_v1
} // namespace experimental
} // namespace std
*/
#include <experimental/__config>
#include <algorithm>
#include <type_traits>
#include <__undef_min_max>
#include <__debug>
#if !defined(_LIBCPP_HAS_NO_PRAGMA_SYSTEM_HEADER)
#pragma GCC system_header
#endif
_LIBCPP_BEGIN_NAMESPACE_LFTS
template <class _PopulationIterator, class _SampleIterator, class _Distance,
class _UniformRandomNumberGenerator>
_LIBCPP_INLINE_VISIBILITY
_SampleIterator __sample(_PopulationIterator __first,
_PopulationIterator __last, _SampleIterator __out,
_Distance __n,
_UniformRandomNumberGenerator &&__g,
input_iterator_tag) {
_Distance __k = 0;
for (; __first != __last && __k < __n; ++__first, (void)++__k)
__out[__k] = *__first;
_Distance __sz = __k;
for (; __first != __last; ++__first, (void)++__k) {
_Distance __r = _VSTD::uniform_int_distribution<_Distance>(0, __k)(__g);
if (__r < __sz)
__out[__r] = *__first;
}
return __out + _VSTD::min(__n, __k);
}
template <class _PopulationIterator, class _SampleIterator, class _Distance,
class _UniformRandomNumberGenerator>
_LIBCPP_INLINE_VISIBILITY
_SampleIterator __sample(_PopulationIterator __first,
_PopulationIterator __last, _SampleIterator __out,
_Distance __n,
_UniformRandomNumberGenerator &&__g,
forward_iterator_tag) {
_Distance __unsampled_sz = _VSTD::distance(__first, __last);
for (__n = _VSTD::min(__n, __unsampled_sz); __n != 0; ++__first) {
_Distance __r =
_VSTD::uniform_int_distribution<_Distance>(0, --__unsampled_sz)(__g);
if (__r < __n) {
*__out++ = *__first;
--__n;
}
}
return __out;
}
template <class _PopulationIterator, class _SampleIterator, class _Distance,
class _UniformRandomNumberGenerator>
_LIBCPP_INLINE_VISIBILITY
_SampleIterator sample(_PopulationIterator __first,
_PopulationIterator __last, _SampleIterator __out,
_Distance __n, _UniformRandomNumberGenerator &&__g) {
typedef typename iterator_traits<_PopulationIterator>::iterator_category
_PopCategory;
typedef typename iterator_traits<_PopulationIterator>::difference_type
_Difference;
typedef typename common_type<_Distance, _Difference>::type _CommonType;
_LIBCPP_ASSERT(__n >= 0, "N must be a positive number.");
return _VSTD_LFTS::__sample(
__first, __last, __out, _CommonType(__n),
_VSTD::forward<_UniformRandomNumberGenerator>(__g),
_PopCategory());
}
_LIBCPP_END_NAMESPACE_LFTS
#endif /* _LIBCPP_EXPERIMENTAL_ALGORITHM */

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@ -49,6 +49,7 @@
#include <cwctype>
#include <deque>
#include <exception>
#include <experimental/algorithm>
#include <experimental/chrono>
#include <experimental/dynarray>
#include <experimental/optional>

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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <experimental/algorithm>
#include <experimental/algorithm>
#ifndef _LIBCPP_ALGORITHM
# error "<experimental/algorithm> must include <algorithm>"
#endif
int main()
{
}

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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <experimental/algorithm>
#include <experimental/algorithm>
#ifndef _LIBCPP_VERSION
# error _LIBCPP_VERSION not defined
#endif
int main()
{
}

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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <algorithm>
// template <class PopulationIterator, class SampleIterator, class Distance,
// class UniformRandomNumberGenerator>
// SampleIterator sample(PopulationIterator first, PopulationIterator last,
// SampleIterator out, Distance n,
// UniformRandomNumberGenerator &&g);
#include <experimental/algorithm>
#include <random>
#include <cassert>
#include "test_iterators.h"
template <class PopulationIterator, class SampleIterator> void test() {
int ia[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
const unsigned is = sizeof(ia) / sizeof(ia[0]);
const unsigned os = 4;
int oa[os];
std::minstd_rand g;
std::experimental::sample(PopulationIterator(ia), PopulationIterator(ia + is),
SampleIterator(oa), os, g);
}
int main() {
test<input_iterator<int *>, output_iterator<int *> >();
}

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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <algorithm>
// template <class PopulationIterator, class SampleIterator, class Distance,
// class UniformRandomNumberGenerator>
// SampleIterator sample(PopulationIterator first, PopulationIterator last,
// SampleIterator out, Distance n,
// UniformRandomNumberGenerator &&g);
#include <experimental/algorithm>
#include <random>
#include <cassert>
#include "test_iterators.h"
struct ReservoirSampleExpectations {
enum { os = 4 };
static int oa1[os];
static int oa2[os];
};
int ReservoirSampleExpectations::oa1[] = {10, 5, 9, 4};
int ReservoirSampleExpectations::oa2[] = {5, 2, 10, 4};
struct SelectionSampleExpectations {
enum { os = 4 };
static int oa1[os];
static int oa2[os];
};
int SelectionSampleExpectations::oa1[] = {1, 4, 6, 7};
int SelectionSampleExpectations::oa2[] = {1, 2, 6, 8};
template <class IteratorCategory> struct TestExpectations
: public SelectionSampleExpectations {};
template <>
struct TestExpectations<std::input_iterator_tag>
: public ReservoirSampleExpectations {};
template <template<class> class PopulationIteratorType, class PopulationItem,
template<class> class SampleIteratorType, class SampleItem>
void test() {
typedef PopulationIteratorType<PopulationItem *> PopulationIterator;
typedef SampleIteratorType<SampleItem *> SampleIterator;
PopulationItem ia[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
const unsigned is = sizeof(ia) / sizeof(ia[0]);
typedef TestExpectations<typename std::iterator_traits<
PopulationIterator>::iterator_category> Expectations;
const unsigned os = Expectations::os;
SampleItem oa[os];
const int *oa1 = Expectations::oa1;
const int *oa2 = Expectations::oa2;
std::minstd_rand g;
SampleIterator end;
end = std::experimental::sample(PopulationIterator(ia),
PopulationIterator(ia + is),
SampleIterator(oa), os, g);
assert(&*end - oa == std::min(os, is));
assert(std::equal(oa, oa + os, oa1));
end = std::experimental::sample(PopulationIterator(ia),
PopulationIterator(ia + is),
SampleIterator(oa), os, g);
assert(&*end - oa == std::min(os, is));
assert(std::equal(oa, oa + os, oa2));
}
template <template<class> class PopulationIteratorType, class PopulationItem,
template<class> class SampleIteratorType, class SampleItem>
void test_empty_population() {
typedef PopulationIteratorType<PopulationItem *> PopulationIterator;
typedef SampleIteratorType<SampleItem *> SampleIterator;
PopulationItem ia[] = {42};
const unsigned os = 4;
SampleItem oa[os];
std::minstd_rand g;
SampleIterator end =
std::experimental::sample(PopulationIterator(ia), PopulationIterator(ia),
SampleIterator(oa), os, g);
assert(&*end == oa);
}
template <template<class> class PopulationIteratorType, class PopulationItem,
template<class> class SampleIteratorType, class SampleItem>
void test_empty_sample() {
typedef PopulationIteratorType<PopulationItem *> PopulationIterator;
typedef SampleIteratorType<SampleItem *> SampleIterator;
PopulationItem ia[] = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10};
const unsigned is = sizeof(ia) / sizeof(ia[0]);
SampleItem oa[1];
std::minstd_rand g;
SampleIterator end =
std::experimental::sample(PopulationIterator(ia), PopulationIterator(ia + is),
SampleIterator(oa), 0, g);
assert(&*end == oa);
}
template <template<class> class PopulationIteratorType, class PopulationItem,
template<class> class SampleIteratorType, class SampleItem>
void test_small_population() {
// The population size is less than the sample size.
typedef PopulationIteratorType<PopulationItem *> PopulationIterator;
typedef SampleIteratorType<SampleItem *> SampleIterator;
PopulationItem ia[] = {1, 2, 3, 4, 5};
const unsigned is = sizeof(ia) / sizeof(ia[0]);
const unsigned os = 8;
SampleItem oa[os];
const SampleItem oa1[] = {1, 2, 3, 4, 5};
std::minstd_rand g;
SampleIterator end;
end = std::experimental::sample(PopulationIterator(ia),
PopulationIterator(ia + is),
SampleIterator(oa), os, g);
assert(&*end - oa == std::min(os, is));
assert(std::equal(oa, &*end, oa1));
}
int main() {
test<input_iterator, int, random_access_iterator, int>();
test<forward_iterator, int, output_iterator, int>();
test<forward_iterator, int, random_access_iterator, int>();
test<input_iterator, int, random_access_iterator, double>();
test<forward_iterator, int, output_iterator, double>();
test<forward_iterator, int, random_access_iterator, double>();
test_empty_population<input_iterator, int, random_access_iterator, int>();
test_empty_population<forward_iterator, int, output_iterator, int>();
test_empty_population<forward_iterator, int, random_access_iterator, int>();
test_empty_sample<input_iterator, int, random_access_iterator, int>();
test_empty_sample<forward_iterator, int, output_iterator, int>();
test_empty_sample<forward_iterator, int, random_access_iterator, int>();
test_small_population<input_iterator, int, random_access_iterator, int>();
test_small_population<forward_iterator, int, output_iterator, int>();
test_small_population<forward_iterator, int, random_access_iterator, int>();
}

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//===----------------------------------------------------------------------===//
//
// The LLVM Compiler Infrastructure
//
// This file is dual licensed under the MIT and the University of Illinois Open
// Source Licenses. See LICENSE.TXT for details.
//
//===----------------------------------------------------------------------===//
// <algorithm>
// template <class PopulationIterator, class SampleIterator, class Distance,
// class UniformRandomNumberGenerator>
// SampleIterator sample(PopulationIterator first, PopulationIterator last,
// SampleIterator out, Distance n,
// UniformRandomNumberGenerator &&g);
#include <experimental/algorithm>
#include <random>
#include <cassert>
#include "test_iterators.h"
// Stable if and only if PopulationIterator meets the requirements of a
// ForwardIterator type.
template <class PopulationIterator, class SampleIterator>
void test_stability(bool expect_stable) {
const unsigned kPopulationSize = 100;
int ia[kPopulationSize];
for (unsigned i = 0; i < kPopulationSize; ++i)
ia[i] = i;
PopulationIterator first(ia);
PopulationIterator last(ia + kPopulationSize);
const unsigned kSampleSize = 20;
int oa[kPopulationSize];
SampleIterator out(oa);
std::minstd_rand g;
const int kIterations = 1000;
bool unstable = false;
for (int i = 0; i < kIterations; ++i) {
std::experimental::sample(first, last, out, kSampleSize, g);
unstable |= !std::is_sorted(oa, oa + kSampleSize);
}
assert(expect_stable == !unstable);
}
int main() {
test_stability<forward_iterator<int *>, output_iterator<int *> >(true);
test_stability<input_iterator<int *>, random_access_iterator<int *> >(false);
}

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<tr><td>class any</td><td>Implementation in progress</td></tr>
<tr><td>string_view</td><td>Implementation in progress</td></tr>
<tr><td>memory</td><td>Implementation in progress</td></tr>
<tr><td>Algorithms library</td><td>Not started</td></tr>
<tr><td>Algorithms library</td><td>Implementation in progress</td></tr>
</table>