std::reduce
Defined in header <numeric>
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template<class InputIt> typename std::iterator_traits<InputIt>::value_type reduce( |
(1) | (since C++17) |
template<class ExecutionPolicy, class ForwardIt> typename std::iterator_traits<ForwardIt>::value_type reduce( |
(2) | (since C++17) |
template<class InputIt, class T> T reduce(InputIt first, InputIt last, T init); |
(3) | (since C++17) |
template<class ExecutionPolicy, class ForwardIt, class T> T reduce(ExecutionPolicy&& policy, |
(4) | (since C++17) |
template<class InputIt, class T, class BinaryOp> T reduce(InputIt first, InputIt last, T init, BinaryOp binary_op); |
(5) | (since C++17) |
template<class ExecutionPolicy, class ForwardIt, class T, class BinaryOp> T reduce(ExecutionPolicy&& policy, |
(6) | (since C++17) |
init
over binary_op
. policy
. This overload only participates in overload resolution if std::is_execution_policy_v<std::decay_t<ExecutionPolicy>> is trueThe behavior is non-deterministic if binary_op
is not associative or not commutative.
The behavior is undefined if binary_op
modifies any element or invalidates any iterator in [first; last], including the end iterator.
Parameters
first, last | - | the range of elements to apply the algorithm to |
init | - | the initial value of the generalized sum |
policy | - | the execution policy to use. See execution policy for details. |
binary_op | - | binary FunctionObject that will be applied in unspecified order to the result of dereferencing the input iterators, the results of other binary_op and init .
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Type requirements | ||
-InputIt must meet the requirements of InputIterator .
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-ForwardIt must meet the requirements of ForwardIterator .
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-T must meet the requirements of MoveConstructible . and binary_op(init, *first) , binary_op(*first, init) , binary_op(init, init) , and binary_op(*first, *first) must be convertible to T .
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Return value
Generalized sum of init
and *first
, *(first+1)
, ... *(last-1)
over binary_op
,
where generalized sum GSUM(op, a
1, ..., a
N) is defined as follows:
- if N=1, a
1 - if N > 1, op(GSUM(op, b
1, ..., b
K), GSUM(op, b
M, ..., b
N)) where
- b
1, ..., b
N may be any permutation of a1, ..., aN and - 1 < K+1 = M ≤ N
- b
in other words, reduce
behaves like std::accumulate except the elements of the range may be grouped and rearranged in arbitrary order
Complexity
O(last - first) applications of binary_op
.
Exceptions
The overloads with a template parameter named ExecutionPolicy
report errors as follows:
- If execution of a function invoked as part of the algorithm throws an exception and
ExecutionPolicy
is one of the three standard policies, std::terminate is called. For any otherExecutionPolicy
, the behavior is implementation-defined. - If the algorithm fails to allocate memory, std::bad_alloc is thrown.
Notes
If the range is empty, init
is returned, unmodified
Example
side-by-side comparison between reduce and std::accumulate:
#include <iostream> #include <chrono> #include <vector> #include <numeric> #include <execution> int main() { std::vector<double> v(10'000'007, 0.5); { auto t1 = std::chrono::high_resolution_clock::now(); double result = std::accumulate(v.begin(), v.end(), 0.0); auto t2 = std::chrono::high_resolution_clock::now(); std::chrono::duration<double, std::milli> ms = t2 - t1; std::cout << std::fixed << "std::accumulate result " << result << " took " << ms.count() << " ms\n"; } { auto t1 = std::chrono::high_resolution_clock::now(); double result = std::reduce(std::execution::par, v.begin(), v.end()); auto t2 = std::chrono::high_resolution_clock::now(); std::chrono::duration<double, std::milli> ms = t2 - t1; std::cout << "std::reduce result " << result << " took " << ms.count() << " ms\n"; } }
Possible output:
std::accumulate result 5000003.50000 took 12.7365 ms std::reduce result 5000003.50000 took 5.06423 ms
See also
sums up a range of elements (function template) | |
applies a function to a range of elements (function template) | |
(C++17) |
applies a functor, then reduces out of order (function template) |