Uglify identifiers missed in previous commit(s)

* include/pstl/algorithm_impl.h: Uglify identfiers.
       * include/pstl/numeric_impl.h:  Uglify identfiers.
       * include/pstl/parallel_backend_tbb.h: Uglify identfiers.

From-SVN: r270332
This commit is contained in:
Thomas Rodgers 2019-04-13 00:13:46 +00:00 committed by Thomas Rodgers
parent 377c9e4611
commit 71905b8a44
4 changed files with 21 additions and 14 deletions

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@ -1,3 +1,9 @@
2019-04-12 Thomas Rodgers <trodgers@redhat.com>
* include/pstl/algorithm_impl.h: Uglify identfiers.
* include/pstl/numeric_impl.h: Uglify identfiers.
* include/pstl/parallel_backend_tbb.h: Uglify identfiers.
2019-04-11 Thomas Rodgers <trodgers@redhat.com>
* include/bits/c++config:

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@ -283,20 +283,20 @@ __pattern_walk2(_ExecutionPolicy&& __exec, _ForwardIterator1 __first1, _ForwardI
template <class _ExecutionPolicy, class _ForwardIterator1, class _Size, class _ForwardIterator2, class _Function,
class _IsVector>
_ForwardIterator2
__pattern_walk2_n(_ExecutionPolicy&&, _ForwardIterator1 __first1, _Size n, _ForwardIterator2 __first2, _Function f,
__pattern_walk2_n(_ExecutionPolicy&&, _ForwardIterator1 __first1, _Size __n, _ForwardIterator2 __first2, _Function __f,
_IsVector is_vector, /*parallel=*/std::false_type) noexcept
{
return __internal::__brick_walk2_n(__first1, n, __first2, f, is_vector);
return __internal::__brick_walk2_n(__first1, __n, __first2, __f, is_vector);
}
template <class _ExecutionPolicy, class _RandomAccessIterator1, class _Size, class _RandomAccessIterator2,
class _Function, class _IsVector>
_RandomAccessIterator2
__pattern_walk2_n(_ExecutionPolicy&& __exec, _RandomAccessIterator1 __first1, _Size n, _RandomAccessIterator2 __first2,
_Function f, _IsVector is_vector, /*parallel=*/std::true_type)
__pattern_walk2_n(_ExecutionPolicy&& __exec, _RandomAccessIterator1 __first1, _Size __n, _RandomAccessIterator2 __first2,
_Function __f, _IsVector __is_vector, /*parallel=*/std::true_type)
{
return __internal::__pattern_walk2(std::forward<_ExecutionPolicy>(__exec), __first1, __first1 + n, __first2, f, is_vector,
std::true_type());
return __internal::__pattern_walk2(std::forward<_ExecutionPolicy>(__exec), __first1, __first1 + __n, __first2, __f,
__is_vector, std::true_type());
}
template <class _ExecutionPolicy, class _ForwardIterator1, class _ForwardIterator2, class _Brick>
@ -1033,7 +1033,7 @@ __pattern_copy_if(_ExecutionPolicy&& __exec, _RandomAccessIterator __first, _Ran
return __internal::__except_handler([&__exec, __n, __first, __result, __is_vector, __pred, &__mask_buf]() {
bool* __mask = __mask_buf.get();
_DifferenceType __m{};
__par_backend::parallel_strict_scan(
__par_backend::__parallel_strict_scan(
std::forward<_ExecutionPolicy>(__exec), __n, _DifferenceType(0),
[=](_DifferenceType __i, _DifferenceType __len) { // Reduce
return __internal::__brick_calc_mask_1<_DifferenceType>(__first + __i, __first + (__i + __len), __mask + __i,
@ -1182,7 +1182,7 @@ __remove_elements(_ExecutionPolicy&& __exec, _ForwardIterator __first, _ForwardI
__mask += __min;
_DifferenceType __m{};
// 2. Elements that doesn't satisfy pred are moved to result
__par_backend::parallel_strict_scan(
__par_backend::__parallel_strict_scan(
std::forward<_ExecutionPolicy>(__exec), __n, _DifferenceType(0),
[__mask, __is_vector](_DifferenceType __i, _DifferenceType __len) {
return __internal::__brick_count(__mask + __i, __mask + __i + __len, [](bool __val) { return __val; }, __is_vector);
@ -1309,7 +1309,7 @@ __pattern_unique_copy(_ExecutionPolicy&& __exec, _RandomAccessIterator __first,
return __internal::__except_handler([&__exec, __n, __first, __result, __pred, __is_vector, &__mask_buf]() {
bool* __mask = __mask_buf.get();
_DifferenceType __m{};
__par_backend::parallel_strict_scan(
__par_backend::__parallel_strict_scan(
std::forward<_ExecutionPolicy>(__exec), __n, _DifferenceType(0),
[=](_DifferenceType __i, _DifferenceType __len) -> _DifferenceType { // Reduce
_DifferenceType __extra = 0;
@ -2033,7 +2033,7 @@ __pattern_partition_copy(_ExecutionPolicy&& __exec, _RandomAccessIterator __firs
return __internal::__except_handler([&__exec, __n, __first, __out_true, __out_false, __is_vector, __pred, &__mask_buf]() {
bool* __mask = __mask_buf.get();
_ReturnType __m{};
__par_backend::parallel_strict_scan(
__par_backend::__parallel_strict_scan(
std::forward<_ExecutionPolicy>(__exec), __n, std::make_pair(_DifferenceType(0), _DifferenceType(0)),
[=](_DifferenceType __i, _DifferenceType __len) { // Reduce
return __internal::__brick_calc_mask_1<_DifferenceType>(__first + __i, __first + (__i + __len), __mask + __i,
@ -2801,7 +2801,7 @@ __parallel_set_op(_ExecutionPolicy&& __exec, _ForwardIterator1 __first1, _Forwar
__internal::__brick_move(__buffer + __s.__buf_pos, __buffer + (__s.__buf_pos + __s.__len), __result + __s.__pos,
__is_vector);
};
__par_backend::parallel_strict_scan(
__par_backend::__parallel_strict_scan(
std::forward<_ExecutionPolicy>(__exec), __n1, _SetRange{0, 0, 0}, //-1, 0},
[=](_DifferenceType __i, _DifferenceType __len) { // Reduce
//[__b; __e) - a subrange of the first sequence, to reduce

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@ -275,7 +275,7 @@ __pattern_transform_scan(_ExecutionPolicy&& __exec, _RandomAccessIterator __firs
return __result;
}
return __internal::__except_handler([&]() {
__par_backend::parallel_strict_scan(
__par_backend::__parallel_strict_scan(
std::forward<_ExecutionPolicy>(__exec), __n, __init,
[__first, __unary_op, __binary_op, __result, __is_vector](_DifferenceType __i, _DifferenceType __len) {
return __internal::__brick_transform_scan(__first + __i, __first + (__i + __len), __result + __i, __unary_op, _Tp{},

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@ -290,7 +290,7 @@ __split(_Index __m)
}
//------------------------------------------------------------------------
// parallel_strict_scan
// __parallel_strict_scan
//------------------------------------------------------------------------
template <typename _Index, typename _Tp, typename _Rp, typename _Cp>
@ -346,7 +346,8 @@ __downsweep(_Index __i, _Index __m, _Index __tilesize, _Tp* __r, _Index __lastsi
// T must have a trivial constructor and destructor.
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)
__parallel_strict_scan(_ExecutionPolicy&&, _Index __n, _Tp __initial, _Rp __reduce, _Cp __combine, _Sp __scan,
_Ap __apex)
{
tbb::this_task_arena::isolate([=, &__combine]() {
if (__n > 1)