qt6-bb10/src/concurrent/qtconcurrentmap.cpp

746 lines
32 KiB
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// Copyright (C) 2016 The Qt Company Ltd.
// SPDX-License-Identifier: LicenseRef-Qt-Commercial OR LGPL-3.0-only OR GPL-2.0-only OR GPL-3.0-only
/*!
\namespace QtConcurrent
\inmodule QtConcurrent
\since 4.4
\brief The QtConcurrent namespace provides high-level APIs that make it
possible to write multi-threaded programs without using low-level
threading primitives.
See the \l {Qt Concurrent} module documentation for an overview of available
functions, or see below for detailed information on each function.
\inheaderfile QtConcurrent
\ingroup thread
*/
/*!
\enum QtConcurrent::ReduceQueueLimits
\internal
*/
/*!
\class QtConcurrent::ReduceKernel
\inmodule QtConcurrent
\internal
*/
/*!
\class QtConcurrent::SequenceHolder2
\inmodule QtConcurrent
\internal
*/
/*!
\class QtConcurrent::MapKernel
\inmodule QtConcurrent
\internal
*/
/*!
\class QtConcurrent::MappedReducedKernel
\inmodule QtConcurrent
\internal
*/
/*!
\class QtConcurrent::MappedEachKernel
\inmodule QtConcurrent
\internal
*/
/*!
\class QtConcurrent::SequenceHolder1
\inmodule QtConcurrent
\internal
*/
/*!
\fn [qtconcurrentmapkernel-1] ThreadEngineStarter<void> QtConcurrent::startMap(Iterator begin, Iterator end, Functor &&functor)
\internal
*/
/*!
\fn [qtconcurrentmapkernel-2] ThreadEngineStarter<T> QtConcurrent::startMapped(Iterator begin, Iterator end, Functor &&functor)
\internal
*/
/*!
\fn [qtconcurrentmapkernel-3] ThreadEngineStarter<T> QtConcurrent::startMapped(Sequence &&sequence, Functor &&functor)
\internal
*/
/*!
\fn [qtconcurrentmapkernel-4] ThreadEngineStarter<ResultType> QtConcurrent::startMappedReduced(Sequence &&sequence, MapFunctor &&mapFunctor, ReduceFunctor &&reduceFunctor, ReduceOptions options)
\internal
*/
/*!
\fn [qtconcurrentmapkernel-5] ThreadEngineStarter<ResultType> QtConcurrent::startMappedReduced(Iterator begin, Iterator end, MapFunctor &&mapFunctor, ReduceFunctor &&reduceFunctor, ReduceOptions options)
\internal
*/
/*!
\fn [qtconcurrentmapkernel-6] ThreadEngineStarter<ResultType> QtConcurrent::startMappedReduced(Sequence &&sequence, MapFunctor &&mapFunctor, ReduceFunctor &&reduceFunctor, ResultType &&initialValue, ReduceOptions options)
\internal
*/
/*!
\fn [qtconcurrentmapkernel-7] ThreadEngineStarter<ResultType> QtConcurrent::startMappedReduced(Iterator begin, Iterator end, MapFunctor &&mapFunctor, ReduceFunctor &&reduceFunctor, ResultType &&initialValue, ReduceOptions options)
\internal
*/
/*!
\enum QtConcurrent::ReduceOption
This enum specifies the order of which results from the map or filter
function are passed to the reduce function.
\value UnorderedReduce Reduction is done in an arbitrary order.
\value OrderedReduce Reduction is done in the order of the
original sequence.
\value SequentialReduce Reduction is done sequentially: only one
thread will enter the reduce function at a time. (Parallel reduction
might be supported in a future version of Qt Concurrent.)
*/
/*!
\page qtconcurrentmap.html
\title Concurrent Map and Map-Reduce
\ingroup thread
The QtConcurrent::map(), QtConcurrent::mapped() and
QtConcurrent::mappedReduced() functions run computations in parallel on
the items in a sequence such as a QList. QtConcurrent::map()
modifies a sequence in-place, QtConcurrent::mapped() returns a new
sequence containing the modified content, and QtConcurrent::mappedReduced()
returns a single result.
These functions are part of the \l {Qt Concurrent} framework.
Each of the above functions has a blocking variant that returns
the final result instead of a QFuture. You use them in the same
way as the asynchronous variants.
\snippet code/src_concurrent_qtconcurrentmap.cpp 7
Note that the result types above are not QFuture objects, but real result
types (in this case, QList<QImage> and QImage).
\section1 Concurrent Map
QtConcurrent::mapped() takes an input sequence and a map function. This map
function is then called for each item in the sequence, and a new sequence
containing the return values from the map function is returned.
The map function must be of the form:
\snippet code/src_concurrent_qtconcurrentmap.cpp 0
T and U can be any type (and they can even be the same type), but T must
match the type stored in the sequence. The function returns the modified
or \e mapped content.
This example shows how to apply a scale function to all the items
in a sequence:
\snippet code/src_concurrent_qtconcurrentmap.cpp 1
The results of the map are made available through QFuture. See the
QFuture and QFutureWatcher documentation for more information on how to
use QFuture in your applications.
If you want to modify a sequence in-place, use QtConcurrent::map(). The
map function must then be of the form:
\snippet code/src_concurrent_qtconcurrentmap.cpp 2
Note that the return value and return type of the map function are not
used.
Using QtConcurrent::map() is similar to using QtConcurrent::mapped():
\snippet code/src_concurrent_qtconcurrentmap.cpp 3
Since the sequence is modified in place, QtConcurrent::map() does not
return any results via QFuture. However, you can still use QFuture and
QFutureWatcher to monitor the status of the map.
\section1 Concurrent Map-Reduce
QtConcurrent::mappedReduced() is similar to QtConcurrent::mapped(), but
instead of returning a sequence with the new results, the results are
combined into a single value using a reduce function.
The reduce function must be of the form:
\snippet code/src_concurrent_qtconcurrentmap.cpp 4
T is the type of the final result, U is the return type of the map
function. Note that the return value and return type of the reduce
function are not used.
Call QtConcurrent::mappedReduced() like this:
\snippet code/src_concurrent_qtconcurrentmap.cpp 5
The reduce function will be called once for each result returned by the map
function, and should merge the \e{intermediate} into the \e{result}
variable. QtConcurrent::mappedReduced() guarantees that only one thread
will call reduce at a time, so using a mutex to lock the result variable
is not necessary. The QtConcurrent::ReduceOptions enum provides a way to
control the order in which the reduction is done. If
QtConcurrent::UnorderedReduce is used (the default), the order is
undefined, while QtConcurrent::OrderedReduce ensures that the reduction
is done in the order of the original sequence.
\section1 Additional API Features
\section2 Using Iterators instead of Sequence
Each of the above functions has a variant that takes an iterator range
instead of a sequence. You use them in the same way as the sequence
variants:
\snippet code/src_concurrent_qtconcurrentmap.cpp 6
\section2 Blocking Variants
Each of the above functions has a blocking variant that returns
the final result instead of a QFuture. You use them in the same
way as the asynchronous variants.
\snippet code/src_concurrent_qtconcurrentmap.cpp 7
Note that the result types above are not QFuture objects, but real result
types (in this case, QList<QImage> and QImage).
\section2 Using Member Functions
QtConcurrent::map(), QtConcurrent::mapped(), and
QtConcurrent::mappedReduced() accept pointers to member functions.
The member function class type must match the type stored in the sequence:
\snippet code/src_concurrent_qtconcurrentmap.cpp 8
Note the use of qOverload. It is needed to resolve the ambiguity for the
methods, that have multiple overloads.
Also note that when using QtConcurrent::mappedReduced(), you can mix the use of
normal and member functions freely:
\snippet code/src_concurrent_qtconcurrentmap.cpp 9
\section2 Using Function Objects
QtConcurrent::map(), QtConcurrent::mapped(), and
QtConcurrent::mappedReduced() accept function objects
for the map function. These function objects can be used to
add state to a function call:
\snippet code/src_concurrent_qtconcurrentmap.cpp 14
Function objects are also supported for the reduce function:
\snippet code/src_concurrent_qtconcurrentmap.cpp 11
\section2 Using Lambda Expressions
QtConcurrent::map(), QtConcurrent::mapped(), and
QtConcurrent::mappedReduced() accept lambda expressions for the map and
reduce function:
\snippet code/src_concurrent_qtconcurrentmap.cpp 15
When using QtConcurrent::mappedReduced() or
QtConcurrent::blockingMappedReduced(), you can mix the use of normal
functions, member functions and lambda expressions freely.
\snippet code/src_concurrent_qtconcurrentmap.cpp 16
You can also pass a lambda as a reduce object:
\snippet code/src_concurrent_qtconcurrentmap.cpp 17
\section2 Wrapping Functions that Take Multiple Arguments
If you want to use a map function that takes more than one argument you can
use a lambda function or \c std::bind() to transform it onto a function that
takes one argument.
As an example, we'll use QImage::scaledToWidth():
\snippet code/src_concurrent_qtconcurrentmap.cpp 10
scaledToWidth takes three arguments (including the "this" pointer) and
can't be used with QtConcurrent::mapped() directly, because
QtConcurrent::mapped() expects a function that takes one argument. To use
QImage::scaledToWidth() with QtConcurrent::mapped() we have to provide a
value for the \e{width} and the \e{transformation mode}:
\snippet code/src_concurrent_qtconcurrentmap.cpp 13
*/
/*!
\fn template <typename Sequence, typename MapFunctor> QFuture<void> QtConcurrent::map(QThreadPool *pool, Sequence &&sequence, MapFunctor &&function)
Calls \a function once for each item in \a sequence.
All calls to \a function are invoked from the threads taken from the QThreadPool \a pool.
The \a function takes a reference to the item, so that any modifications done to the item
will appear in \a sequence.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename Sequence, typename MapFunctor> QFuture<void> QtConcurrent::map(Sequence &&sequence, MapFunctor &&function)
Calls \a function once for each item in \a sequence. The \a function takes
a reference to the item, so that any modifications done to the item
will appear in \a sequence.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename Iterator, typename MapFunctor> QFuture<void> QtConcurrent::map(QThreadPool *pool, Iterator begin, Iterator end, MapFunctor &&function)
Calls \a function once for each item from \a begin to \a end.
All calls to \a function are invoked from the threads taken from the QThreadPool \a pool.
The \a function takes a reference to the item, so that any modifications
done to the item will appear in the sequence which the iterators belong to.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename Iterator, typename MapFunctor> QFuture<void> QtConcurrent::map(Iterator begin, Iterator end, MapFunctor &&function)
Calls \a function once for each item from \a begin to \a end. The
\a function takes a reference to the item, so that any modifications
done to the item will appear in the sequence which the iterators belong to.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename Sequence, typename MapFunctor> QFuture<QtPrivate::MapResultType<Sequence, MapFunctor>> QtConcurrent::mapped(QThreadPool *pool, Sequence &&sequence, MapFunctor &&function)
Calls \a function once for each item in \a sequence and returns a future
with each mapped item as a result. All calls to \a function are invoked from the
threads taken from the QThreadPool \a pool. You can use QFuture::const_iterator or
QFutureIterator to iterate through the results.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename Sequence, typename MapFunctor> QFuture<QtPrivate::MapResultType<Sequence, MapFunctor>> QtConcurrent::mapped(Sequence &&sequence, MapFunctor &&function)
Calls \a function once for each item in \a sequence and returns a future
with each mapped item as a result. You can use QFuture::const_iterator or
QFutureIterator to iterate through the results.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename Iterator, typename MapFunctor> QFuture<QtPrivate::MapResultType<Iterator, MapFunctor>> QtConcurrent::mapped(QThreadPool *pool, Iterator begin, Iterator end, MapFunctor &&function)
Calls \a function once for each item from \a begin to \a end and returns a
future with each mapped item as a result. All calls to \a function are invoked from the
threads taken from the QThreadPool \a pool. You can use
QFuture::const_iterator or QFutureIterator to iterate through the results.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename Iterator, typename MapFunctor> QFuture<QtPrivate::MapResultType<Iterator, MapFunctor>> QtConcurrent::mapped(Iterator begin, Iterator end, MapFunctor &&function)
Calls \a function once for each item from \a begin to \a end and returns a
future with each mapped item as a result. You can use
QFuture::const_iterator or QFutureIterator to iterate through the results.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Sequence, typename MapFunctor, typename ReduceFunctor> QFuture<ResultType> QtConcurrent::mappedReduced(QThreadPool *pool, Sequence &&sequence, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item in \a sequence.
All calls to \a mapFunction are invoked from the threads taken from the QThreadPool \a pool.
The return value of each \a mapFunction is passed to \a reduceFunction.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. The order in which \a reduceFunction is
called is determined by \a reduceOptions.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Sequence, typename MapFunctor, typename ReduceFunctor> QFuture<ResultType> QtConcurrent::mappedReduced(Sequence &&sequence, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item in \a sequence. The return value of
each \a mapFunction is passed to \a reduceFunction.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. The order in which \a reduceFunction is
called is determined by \a reduceOptions.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Sequence, typename MapFunctor, typename ReduceFunctor, typename InitialValueType> QFuture<ResultType> QtConcurrent::mappedReduced(QThreadPool *pool, Sequence &&sequence, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, InitialValueType &&initialValue, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item in \a sequence.
All calls to \a mapFunction are invoked from the threads taken from the QThreadPool \a pool.
The return value of each \a mapFunction is passed to \a reduceFunction.
The result value is initialized to \a initialValue when the function is
called, and the first call to \a reduceFunction will operate on
this value.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. The order in which \a reduceFunction is
called is determined by \a reduceOptions.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Sequence, typename MapFunctor, typename ReduceFunctor, typename InitialValueType> QFuture<ResultType> QtConcurrent::mappedReduced(Sequence &&sequence, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, InitialValueType &&initialValue, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item in \a sequence. The return value of
each \a mapFunction is passed to \a reduceFunction.
The result value is initialized to \a initialValue when the function is
called, and the first call to \a reduceFunction will operate on
this value.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. The order in which \a reduceFunction is
called is determined by \a reduceOptions.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Iterator, typename MapFunctor, typename ReduceFunctor> QFuture<ResultType> QtConcurrent::mappedReduced(QThreadPool *pool, Iterator begin, Iterator end, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item from \a begin to \a end.
All calls to \a mapFunction are invoked from the threads taken from the QThreadPool \a pool.
The return value of each \a mapFunction is passed to \a reduceFunction.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. By default, the order in which
\a reduceFunction is called is undefined.
\note QtConcurrent::OrderedReduce results in the ordered reduction.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Iterator, typename MapFunctor, typename ReduceFunctor> QFuture<ResultType> QtConcurrent::mappedReduced(Iterator begin, Iterator end, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item from \a begin to \a end. The return
value of each \a mapFunction is passed to \a reduceFunction.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. By default, the order in which
\a reduceFunction is called is undefined.
\note QtConcurrent::OrderedReduce results in the ordered reduction.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Iterator, typename MapFunctor, typename ReduceFunctor, typename InitialValueType> QFuture<ResultType> QtConcurrent::mappedReduced(QThreadPool *pool, Iterator begin, Iterator end, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, InitialValueType &&initialValue, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item from \a begin to \a end.
All calls to \a mapFunction are invoked from the threads taken from the QThreadPool \a pool.
The return value of each \a mapFunction is passed to \a reduceFunction.
The result value is initialized to \a initialValue when the function is
called, and the first call to \a reduceFunction will operate on
this value.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. By default, the order in which
\a reduceFunction is called is undefined.
\note QtConcurrent::OrderedReduce results in the ordered reduction.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Iterator, typename MapFunctor, typename ReduceFunctor, typename InitialValueType> QFuture<ResultType> QtConcurrent::mappedReduced(Iterator begin, Iterator end, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, InitialValueType &&initialValue, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item from \a begin to \a end. The return
value of each \a mapFunction is passed to \a reduceFunction.
The result value is initialized to \a initialValue when the function is
called, and the first call to \a reduceFunction will operate on
this value.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. By default, the order in which
\a reduceFunction is called is undefined.
\note QtConcurrent::OrderedReduce results in the ordered reduction.
\sa {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename Sequence, typename MapFunctor> void QtConcurrent::blockingMap(QThreadPool *pool, Sequence &&sequence, MapFunctor function)
Calls \a function once for each item in \a sequence.
All calls to \a function are invoked from the threads taken from the QThreadPool \a pool.
The \a function takes a reference to the item, so that any modifications done to the item
will appear in \a sequence.
\note This function will block until all items in the sequence have been processed.
\sa map(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename Sequence, typename MapFunctor> void QtConcurrent::blockingMap(Sequence &&sequence, MapFunctor &&function)
Calls \a function once for each item in \a sequence. The \a function takes
a reference to the item, so that any modifications done to the item
will appear in \a sequence.
\note This function will block until all items in the sequence have been processed.
\sa map(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename Iterator, typename MapFunctor> void QtConcurrent::blockingMap(QThreadPool *pool, Iterator begin, Iterator end, MapFunctor &&function)
Calls \a function once for each item from \a begin to \a end.
All calls to \a function are invoked from the threads taken from the QThreadPool \a pool.
The \a function takes a reference to the item, so that any modifications
done to the item will appear in the sequence which the iterators belong to.
\note This function will block until the iterator reaches the end of the
sequence being processed.
\sa map(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename Iterator, typename MapFunctor> void QtConcurrent::blockingMap(Iterator begin, Iterator end, MapFunctor &&function)
Calls \a function once for each item from \a begin to \a end. The
\a function takes a reference to the item, so that any modifications
done to the item will appear in the sequence which the iterators belong to.
\note This function will block until the iterator reaches the end of the
sequence being processed.
\sa map(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename OutputSequence, typename InputSequence, typename MapFunctor> OutputSequence QtConcurrent::blockingMapped(QThreadPool *pool, InputSequence &&sequence, MapFunctor &&function)
Calls \a function once for each item in \a sequence and returns an OutputSequence containing
the results. All calls to \a function are invoked from the threads taken from the QThreadPool
\a pool. The type of the results will match the type returned by the MapFunctor.
\note This function will block until all items in the sequence have been processed.
\sa mapped(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename OutputSequence, typename InputSequence, typename MapFunctor> OutputSequence QtConcurrent::blockingMapped(InputSequence &&sequence, MapFunctor &&function)
Calls \a function once for each item in \a sequence and returns an OutputSequence containing
the results. The type of the results will match the type returned by the MapFunctor.
\note This function will block until all items in the sequence have been processed.
\sa mapped(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename Sequence, typename Iterator, typename MapFunctor> Sequence QtConcurrent::blockingMapped(QThreadPool *pool, Iterator begin, Iterator end, MapFunctor &&function)
Calls \a function once for each item from \a begin to \a end and returns a
container with the results. All calls to \a function are invoked from the threads
taken from the QThreadPool \a pool. You can specify the type of container as the a template
argument, like this:
\code
QList<int> ints = QtConcurrent::blockingMapped<QList<int> >(beginIterator, endIterator, fn);
\endcode
\note This function will block until the iterator reaches the end of the
sequence being processed.
\sa mapped(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename Sequence, typename Iterator, typename MapFunctor> Sequence QtConcurrent::blockingMapped(Iterator begin, Iterator end, MapFunctor &&function)
Calls \a function once for each item from \a begin to \a end and returns a
container with the results. You can specify the type of container as the a template
argument, like this:
\code
QList<int> ints = QtConcurrent::blockingMapped<QList<int> >(beginIterator, endIterator, fn);
\endcode
\note This function will block until the iterator reaches the end of the
sequence being processed.
\sa mapped(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Sequence, typename MapFunctor, typename ReduceFunctor> ResultType QtConcurrent::blockingMappedReduced(QThreadPool *pool, Sequence &&sequence, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item in \a sequence.
All calls to \a mapFunction are invoked from the threads taken from the QThreadPool \a pool.
The return value of each \a mapFunction is passed to \a reduceFunction.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. The order in which \a reduceFunction is
called is determined by \a reduceOptions.
\note This function will block until all items in the sequence have been processed.
\sa mapped(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Sequence, typename MapFunctor, typename ReduceFunctor> ResultType QtConcurrent::blockingMappedReduced(Sequence &&sequence, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item in \a sequence. The return value of
each \a mapFunction is passed to \a reduceFunction.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. The order in which \a reduceFunction is
called is determined by \a reduceOptions.
\note This function will block until all items in the sequence have been processed.
\sa mapped(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Sequence, typename MapFunctor, typename ReduceFunctor, typename InitialValueType> ResultType QtConcurrent::blockingMappedReduced(QThreadPool *pool, Sequence &&sequence, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, InitialValueType &&initialValue, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item in \a sequence.
All calls to \a mapFunction are invoked from the threads taken from the QThreadPool \a pool.
The return value of each \a mapFunction is passed to \a reduceFunction.
The result value is initialized to \a initialValue when the function is
called, and the first call to \a reduceFunction will operate on
this value.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. The order in which \a reduceFunction is
called is determined by \a reduceOptions.
\note This function will block until all items in the sequence have been processed.
\sa mapped(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Sequence, typename MapFunctor, typename ReduceFunctor, typename InitialValueType> ResultType QtConcurrent::blockingMappedReduced(Sequence &&sequence, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, InitialValueType &&initialValue, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item in \a sequence. The return value of
each \a mapFunction is passed to \a reduceFunction.
The result value is initialized to \a initialValue when the function is
called, and the first call to \a reduceFunction will operate on
this value.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. The order in which \a reduceFunction is
called is determined by \a reduceOptions.
\note This function will block until all items in the sequence have been processed.
\sa mapped(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Iterator, typename MapFunctor, typename ReduceFunctor> ResultType QtConcurrent::blockingMappedReduced(QThreadPool *pool, Iterator begin, Iterator end, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item from \a begin to \a end.
All calls to \a mapFunction are invoked from the threads taken from the QThreadPool \a pool.
The return value of each \a mapFunction is passed to \a reduceFunction.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. The order in which \a reduceFunction is
called is undefined.
\note This function will block until the iterator reaches the end of the
sequence being processed.
\sa blockingMappedReduced(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Iterator, typename MapFunctor, typename ReduceFunctor> ResultType QtConcurrent::blockingMappedReduced(Iterator begin, Iterator end, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item from \a begin to \a end. The return
value of each \a mapFunction is passed to \a reduceFunction.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. The order in which \a reduceFunction is
called is undefined.
\note This function will block until the iterator reaches the end of the
sequence being processed.
\sa blockingMappedReduced(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Iterator, typename MapFunctor, typename ReduceFunctor, typename InitialValueType> ResultType QtConcurrent::blockingMappedReduced(QThreadPool *pool, Iterator begin, Iterator end, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, InitialValueType &&initialValue, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item from \a begin to \a end.
All calls to \a mapFunction are invoked from the threads taken from the QThreadPool \a pool.
The return value of each \a mapFunction is passed to \a reduceFunction.
The result value is initialized to \a initialValue when the function is
called, and the first call to \a reduceFunction will operate on
this value.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. The order in which \a reduceFunction is
called is undefined.
\note This function will block until the iterator reaches the end of the
sequence being processed.
\sa blockingMappedReduced(), {Concurrent Map and Map-Reduce}
*/
/*!
\fn template <typename ResultType, typename Iterator, typename MapFunctor, typename ReduceFunctor, typename InitialValueType> ResultType QtConcurrent::blockingMappedReduced(Iterator begin, Iterator end, MapFunctor &&mapFunction, ReduceFunctor &&reduceFunction, InitialValueType &&initialValue, QtConcurrent::ReduceOptions reduceOptions)
Calls \a mapFunction once for each item from \a begin to \a end. The return
value of each \a mapFunction is passed to \a reduceFunction.
The result value is initialized to \a initialValue when the function is
called, and the first call to \a reduceFunction will operate on
this value.
Note that while \a mapFunction is called concurrently, only one thread at a
time will call \a reduceFunction. The order in which \a reduceFunction is
called is undefined.
\note This function will block until the iterator reaches the end of the
sequence being processed.
\sa blockingMappedReduced(), {Concurrent Map and Map-Reduce}
*/