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/****************************************************************************
**
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/*!
\group containers
\title Generic Containers
\ingroup architecture
\ingroup groups
\keyword container class
\keyword container classes
\brief Qt's template-based container classes.
\tableofcontents
\section1 Introduction
The Qt library provides a set of general purpose template-based
container classes. These classes can be used to store items of a
specified type. For example, if you need a resizable array of
\l{QString}s, use QVector<QString>.
These container classes are designed to be lighter, safer, and
easier to use than the STL containers. If you are unfamiliar with
the STL, or prefer to do things the "Qt way", you can use these
classes instead of the STL classes.
The container classes are \l{implicitly shared}, they are
\l{reentrant}, and they are optimized for speed, low memory
consumption, and minimal inline code expansion, resulting in
smaller executables. In addition, they are \l{thread-safe}
in situations where they are used as read-only containers
by all threads used to access them.
For traversing the items stored in a container, you can use one
of two types of iterators: \l{Java-style iterators} and
\l{STL-style iterators}. The Java-style iterators are easier to
use and provide high-level functionality, whereas the STL-style
iterators are slightly more efficient and can be used together
with Qt's and STL's \l{generic algorithms}.
Qt also offers a \l{foreach} keyword that make it very
easy to iterate over all the items stored in a container.
\section1 The Container Classes
Qt provides the following container classes:
\table
\header \o Class \o Summary
\row \o \l{QList}<T>
\o This is by far the most commonly used container class. It
stores a list of values of a given type (T) that can be accessed
by index. Internally, the QList is implemented using an array,
ensuring that index-based access is very fast.
Items can be added at either end of the list using
QList::append() and QList::prepend(), or they can be inserted in
the middle using QList::insert(). More than any other container
class, QList is highly optimized to expand to as little code as
possible in the executable. QStringList inherits from
QList<QString>.
\row \o \l{QLinkedList}<T>
\o This is similar to QList, except that it uses
iterators rather than integer indexes to access items. It also
provides better performance than QList when inserting in the
middle of a huge list, and it has nicer iterator semantics.
(Iterators pointing to an item in a QLinkedList remain valid as
long as the item exists, whereas iterators to a QList can become
invalid after any insertion or removal.)
\row \o \l{QVector}<T>
\o This stores an array of values of a given type at adjacent
positions in memory. Inserting at the front or in the middle of
a vector can be quite slow, because it can lead to large numbers
of items having to be moved by one position in memory.
\row \o \l{QStack}<T>
\o This is a convenience subclass of QVector that provides
"last in, first out" (LIFO) semantics. It adds the following
functions to those already present in QVector:
\l{QStack::push()}{push()}, \l{QStack::pop()}{pop()},
and \l{QStack::top()}{top()}.
\row \o \l{QQueue}<T>
\o This is a convenience subclass of QList that provides
"first in, first out" (FIFO) semantics. It adds the following
functions to those already present in QList:
\l{QQueue::enqueue()}{enqueue()},
\l{QQueue::dequeue()}{dequeue()}, and \l{QQueue::head()}{head()}.
\row \o \l{QSet}<T>
\o This provides a single-valued mathematical set with fast
lookups.
\row \o \l{QMap}<Key, T>
\o This provides a dictionary (associative array) that maps keys
of type Key to values of type T. Normally each key is associated
with a single value. QMap stores its data in Key order; if order
doesn't matter QHash is a faster alternative.
\row \o \l{QMultiMap}<Key, T>
\o This is a convenience subclass of QMap that provides a nice
interface for multi-valued maps, i.e. maps where one key can be
associated with multiple values.
\row \o \l{QHash}<Key, T>
\o This has almost the same API as QMap, but provides
significantly faster lookups. QHash stores its data in an
arbitrary order.
\row \o \l{QMultiHash}<Key, T>
\o This is a convenience subclass of QHash that
provides a nice interface for multi-valued hashes.
\endtable
Containers can be nested. For example, it is perfectly possible
to use a QMap<QString, QList<int> >, where the key type is
QString and the value type QList<int>. The only pitfall is that
you must insert a space between the closing angle brackets (>);
otherwise the C++ compiler will misinterpret the two >'s as a
right-shift operator (>>) and report a syntax error.
The containers are defined in individual header files with the
same name as the container (e.g., \c <QLinkedList>). For
convenience, the containers are forward declared in \c
<QtContainerFwd>.
\keyword assignable data type
\keyword assignable data types
The values stored in the various containers can be of any
\e{assignable data type}. To qualify, a type must provide a
default constructor, a copy constructor, and an assignment
operator. This covers most data types you are likely to want to
store in a container, including basic types such as \c int and \c
double, pointer types, and Qt data types such as QString, QDate,
and QTime, but it doesn't cover QObject or any QObject subclass
(QWidget, QDialog, QTimer, etc.). If you attempt to instantiate a
QList<QWidget>, the compiler will complain that QWidget's copy
constructor and assignment operators are disabled. If you want to
store these kinds of objects in a container, store them as
pointers, for example as QList<QWidget *>.
Here's an example custom data type that meets the requirement of
an assignable data type:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 0
If we don't provide a copy constructor or an assignment operator,
C++ provides a default implementation that performs a
member-by-member copy. In the example above, that would have been
sufficient. Also, if you don't provide any constructors, C++
provides a default constructor that initializes its member using
default constructors. Although it doesn't provide any
explicit constructors or assignment operator, the following data
type can be stored in a container:
\snippet doc/src/snippets/streaming/main.cpp 0
Some containers have additional requirements for the data types
they can store. For example, the Key type of a QMap<Key, T> must
provide \c operator<(). Such special requirements are documented
in a class's detailed description. In some cases, specific
functions have special requirements; these are described on a
per-function basis. The compiler will always emit an error if a
requirement isn't met.
Qt's containers provide operator<<() and operator>>() so that they
can easily be read and written using a QDataStream. This means
that the data types stored in the container must also support
operator<<() and operator>>(). Providing such support is
straightforward; here's how we could do it for the Movie struct
above:
\snippet doc/src/snippets/streaming/main.cpp 1
\codeline
\snippet doc/src/snippets/streaming/main.cpp 2
\keyword default-constructed values
The documentation of certain container class functions refer to
\e{default-constructed values}; for example, QVector
automatically initializes its items with default-constructed
values, and QMap::value() returns a default-constructed value if
the specified key isn't in the map. For most value types, this
simply means that a value is created using the default
constructor (e.g. an empty string for QString). But for primitive
types like \c{int} and \c{double}, as well as for pointer types,
the C++ language doesn't specify any initialization; in those
cases, Qt's containers automatically initialize the value to 0.
\section1 The Iterator Classes
Iterators provide a uniform means to access items in a container.
Qt's container classes provide two types of iterators: Java-style
iterators and STL-style iterators.
\section2 Java-Style Iterators
The Java-style iterators are new in Qt 4 and are the standard
ones used in Qt applications. They are more convenient to use than
the STL-style iterators, at the price of being slightly less
efficient. Their API is modelled on Java's iterator classes.
For each container class, there are two Java-style iterator data
types: one that provides read-only access and one that provides
read-write access.
\table
\header \o Containers \o Read-only iterator
\o Read-write iterator
\row \o QList<T>, QQueue<T> \o QListIterator<T>
\o QMutableListIterator<T>
\row \o QLinkedList<T> \o QLinkedListIterator<T>
\o QMutableLinkedListIterator<T>
\row \o QVector<T>, QStack<T> \o QVectorIterator<T>
\o QMutableVectorIterator<T>
\row \o QSet<T> \o QSetIterator<T>
\o QMutableSetIterator<T>
\row \o QMap<Key, T>, QMultiMap<Key, T> \o QMapIterator<Key, T>
\o QMutableMapIterator<Key, T>
\row \o QHash<Key, T>, QMultiHash<Key, T> \o QHashIterator<Key, T>
\o QMutableHashIterator<Key, T>
\endtable
In this discussion, we will concentrate on QList and QMap. The
iterator types for QLinkedList, QVector, and QSet have exactly
the same interface as QList's iterators; similarly, the iterator
types for QHash have the same interface as QMap's iterators.
Unlike STL-style iterators (covered \l{STL-style
iterators}{below}), Java-style iterators point \e between items
rather than directly \e at items. For this reason, they are
either pointing to the very beginning of the container (before
the first item), at the very end of the container (after the last
item), or between two items. The diagram below shows the valid
iterator positions as red arrows for a list containing four
items:
\img javaiterators1.png
Here's a typical loop for iterating through all the elements of a
QList<QString> in order and printing them to the console:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 1
It works as follows: The QList to iterate over is passed to the
QListIterator constructor. At that point, the iterator is located
just in front of the first item in the list (before item "A").
Then we call \l{QListIterator::hasNext()}{hasNext()} to
check whether there is an item after the iterator. If there is, we
call \l{QListIterator::next()}{next()} to jump over that
item. The next() function returns the item that it jumps over. For
a QList<QString>, that item is of type QString.
Here's how to iterate backward in a QList:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 2
The code is symmetric with iterating forward, except that we
start by calling \l{QListIterator::toBack()}{toBack()}
to move the iterator after the last item in the list.
The diagram below illustrates the effect of calling
\l{QListIterator::next()}{next()} and
\l{QListIterator::previous()}{previous()} on an iterator:
\img javaiterators2.png
The following table summarizes the QListIterator API:
\table
\header \o Function \o Behavior
\row \o \l{QListIterator::toFront()}{toFront()}
\o Moves the iterator to the front of the list (before the first item)
\row \o \l{QListIterator::toBack()}{toBack()}
\o Moves the iterator to the back of the list (after the last item)
\row \o \l{QListIterator::hasNext()}{hasNext()}
\o Returns true if the iterator isn't at the back of the list
\row \o \l{QListIterator::next()}{next()}
\o Returns the next item and advances the iterator by one position
\row \o \l{QListIterator::peekNext()}{peekNext()}
\o Returns the next item without moving the iterator
\row \o \l{QListIterator::hasPrevious()}{hasPrevious()}
\o Returns true if the iterator isn't at the front of the list
\row \o \l{QListIterator::previous()}{previous()}
\o Returns the previous item and moves the iterator back by one position
\row \o \l{QListIterator::peekPrevious()}{peekPrevious()}
\o Returns the previous item without moving the iterator
\endtable
QListIterator provides no functions to insert or remove items
from the list as we iterate. To accomplish this, you must use
QMutableListIterator. Here's an example where we remove all
odd numbers from a QList<int> using QMutableListIterator:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 3
The next() call in the loop is made every time. It jumps over the
next item in the list. The
\l{QMutableListIterator::remove()}{remove()} function removes the
last item that we jumped over from the list. The call to
\l{QMutableListIterator::remove()}{remove()} does not invalidate
the iterator, so it is safe to continue using it. This works just
as well when iterating backward:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 4
If we just want to modify the value of an existing item, we can
use \l{QMutableListIterator::setValue()}{setValue()}. In the code
below, we replace any value larger than 128 with 128:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 5
Just like \l{QMutableListIterator::remove()}{remove()},
\l{QMutableListIterator::setValue()}{setValue()} operates on the
last item that we jumped over. If we iterate forward, this is the
item just before the iterator; if we iterate backward, this is
the item just after the iterator.
The \l{QMutableListIterator::next()}{next()} function returns a
non-const reference to the item in the list. For simple
operations, we don't even need
\l{QMutableListIterator::setValue()}{setValue()}:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 6
As mentioned above, QLinkedList's, QVector's, and QSet's iterator
classes have exactly the same API as QList's. We will now turn to
QMapIterator, which is somewhat different because it iterates on
(key, value) pairs.
Like QListIterator, QMapIterator provides
\l{QMapIterator::toFront()}{toFront()},
\l{QMapIterator::toBack()}{toBack()},
\l{QMapIterator::hasNext()}{hasNext()},
\l{QMapIterator::next()}{next()},
\l{QMapIterator::peekNext()}{peekNext()},
\l{QMapIterator::hasPrevious()}{hasPrevious()},
\l{QMapIterator::previous()}{previous()}, and
\l{QMapIterator::peekPrevious()}{peekPrevious()}. The key and
value components are extracted by calling key() and value() on
the object returned by next(), peekNext(), previous(), or
peekPrevious().
The following example removes all (capital, country) pairs where
the capital's name ends with "City":
\snippet doc/src/snippets/code/doc_src_containers.qdoc 7
QMapIterator also provides a key() and a value() function that
operate directly on the iterator and that return the key and
value of the last item that the iterator jumped above. For
example, the following code copies the contents of a QMap into a
QHash:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 8
If we want to iterate through all the items with the same
value, we can use \l{QMapIterator::findNext()}{findNext()}
or \l{QMapIterator::findPrevious()}{findPrevious()}.
Here's an example where we remove all the items with a particular
value:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 9
\section2 STL-Style Iterators
STL-style iterators have been available since the release of Qt
2.0. They are compatible with Qt's and STL's \l{generic
algorithms} and are optimized for speed.
For each container class, there are two STL-style iterator types:
one that provides read-only access and one that provides
read-write access. Read-only iterators should be used wherever
possible because they are faster than read-write iterators.
\table
\header \o Containers \o Read-only iterator
\o Read-write iterator
\row \o QList<T>, QQueue<T> \o QList<T>::const_iterator
\o QList<T>::iterator
\row \o QLinkedList<T> \o QLinkedList<T>::const_iterator
\o QLinkedList<T>::iterator
\row \o QVector<T>, QStack<T> \o QVector<T>::const_iterator
\o QVector<T>::iterator
\row \o QSet<T> \o QSet<T>::const_iterator
\o QSet<T>::iterator
\row \o QMap<Key, T>, QMultiMap<Key, T> \o QMap<Key, T>::const_iterator
\o QMap<Key, T>::iterator
\row \o QHash<Key, T>, QMultiHash<Key, T> \o QHash<Key, T>::const_iterator
\o QHash<Key, T>::iterator
\endtable
The API of the STL iterators is modelled on pointers in an array.
For example, the \c ++ operator advances the iterator to the next
item, and the \c * operator returns the item that the iterator
points to. In fact, for QVector and QStack, which store their
items at adjacent memory positions, the
\l{QVector::iterator}{iterator} type is just a typedef for \c{T *},
and the \l{QVector::iterator}{const_iterator} type is
just a typedef for \c{const T *}.
In this discussion, we will concentrate on QList and QMap. The
iterator types for QLinkedList, QVector, and QSet have exactly
the same interface as QList's iterators; similarly, the iterator
types for QHash have the same interface as QMap's iterators.
Here's a typical loop for iterating through all the elements of a
QList<QString> in order and converting them to lowercase:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 10
Unlike \l{Java-style iterators}, STL-style iterators point
directly at items. The begin() function of a container returns an
iterator that points to the first item in the container. The
end() function of a container returns an iterator to the
imaginary item one position past the last item in the container.
end() marks an invalid position; it must never be dereferenced.
It is typically used in a loop's break condition. If the list is
empty, begin() equals end(), so we never execute the loop.
The diagram below shows the valid iterator positions as red
arrows for a vector containing four items:
\img stliterators1.png
Iterating backward with an STL-style iterator requires us to
decrement the iterator \e before we access the item. This
requires a \c while loop:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 11
In the code snippets so far, we used the unary \c * operator to
retrieve the item (of type QString) stored at a certain iterator
position, and we then called QString::toLower() on it. Most C++
compilers also allow us to write \c{i->toLower()}, but some
don't.
For read-only access, you can use const_iterator, constBegin(),
and constEnd(). For example:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 12
The following table summarizes the STL-style iterators' API:
\table
\header \o Expression \o Behavior
\row \o \c{*i} \o Returns the current item
\row \o \c{++i} \o Advances the iterator to the next item
\row \o \c{i += n} \o Advances the iterator by \c n items
\row \o \c{--i} \o Moves the iterator back by one item
\row \o \c{i -= n} \o Moves the iterator back by \c n items
\row \o \c{i - j} \o Returns the number of items between iterators \c i and \c j
\endtable
The \c{++} and \c{--} operators are available both as prefix
(\c{++i}, \c{--i}) and postfix (\c{i++}, \c{i--}) operators. The
prefix versions modify the iterators and return a reference to
the modified iterator; the postfix versions take a copy of the
iterator before they modify it, and return that copy. In
expressions where the return value is ignored, we recommend that
you use the prefix operators (\c{++i}, \c{--i}), as these are
slightly faster.
For non-const iterator types, the return value of the unary \c{*}
operator can be used on the left side of the assignment operator.
For QMap and QHash, the \c{*} operator returns the value
component of an item. If you want to retrieve the key, call key()
on the iterator. For symmetry, the iterator types also provide a
value() function to retrieve the value. For example, here's how
we would print all items in a QMap to the console:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 13
Thanks to \l{implicit sharing}, it is very inexpensive for a
function to return a container per value. The Qt API contains
dozens of functions that return a QList or QStringList per value
(e.g., QSplitter::sizes()). If you want to iterate over these
using an STL iterator, you should always take a copy of the
container and iterate over the copy. For example:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 14
This problem doesn't occur with functions that return a const or
non-const reference to a container.
\l{Implicit sharing} has another consequence on STL-style
iterators: You must not take a copy of a container while
non-const iterators are active on that container. Java-style
iterators don't suffer from that limitation.
\keyword foreach
\section1 The foreach Keyword
If you just want to iterate over all the items in a container
in order, you can use Qt's \c foreach keyword. The keyword is a
Qt-specific addition to the C++ language, and is implemented
using the preprocessor.
Its syntax is: \c foreach (\e variable, \e container) \e
statement. For example, here's how to use \c foreach to iterate
over a QLinkedList<QString>:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 15
The \c foreach code is significantly shorter than the equivalent
code that uses iterators:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 16
Unless the data type contains a comma (e.g., \c{QPair<int,
int>}), the variable used for iteration can be defined within the
\c foreach statement:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 17
And like any other C++ loop construct, you can use braces around
the body of a \c foreach loop, and you can use \c break to leave
the loop:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 18
With QMap and QHash, \c foreach accesses the value component of
the (key, value) pairs. If you want to iterate over both the keys
and the values, you can use iterators (which are fastest), or you
can write code like this:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 19
For a multi-valued map:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 20
Qt automatically takes a copy of the container when it enters a
\c foreach loop. If you modify the container as you are
iterating, that won't affect the loop. (If you don't modify the
container, the copy still takes place, but thanks to \l{implicit
sharing} copying a container is very fast.) Similarly, declaring
the variable to be a non-const reference, in order to modify the
current item in the list will not work either.
In addition to \c foreach, Qt also provides a \c forever
pseudo-keyword for infinite loops:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 21
If you're worried about namespace pollution, you can disable
these macros by adding the following line to your \c .pro file:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 22
\section1 Other Container-Like Classes
Qt includes three template classes that resemble containers in
some respects. These classes don't provide iterators and cannot
be used with the \c foreach keyword.
\list
\o QVarLengthArray<T, Prealloc> provides a low-level
variable-length array. It can be used instead of QVector in
places where speed is particularly important.
\o QCache<Key, T> provides a cache to store objects of a certain
type T associated with keys of type Key.
\o QPair<T1, T2> stores a pair of elements.
\endlist
Additional non-template types that compete with Qt's template
containers are QBitArray, QByteArray, QString, and QStringList.
\section1 Algorithmic Complexity
Algorithmic complexity is concerned about how fast (or slow) each
function is as the number of items in the container grow. For
example, inserting an item in the middle of a QLinkedList is an
extremely fast operation, irrespective of the number of items
stored in the QLinkedList. On the other hand, inserting an item
in the middle of a QVector is potentially very expensive if the
QVector contains many items, since half of the items must be
moved one position in memory.
To describe algorithmic complexity, we use the following
terminology, based on the "big Oh" notation:
\keyword constant time
\keyword logarithmic time
\keyword linear time
\keyword linear-logarithmic time
\keyword quadratic time
\list
\o \bold{Constant time:} O(1). A function is said to run in constant
time if it requires the same amount of time no matter how many
items are present in the container. One example is
QLinkedList::insert().
\o \bold{Logarithmic time:} O(log \e n). A function that runs in
logarithmic time is a function whose running time is
proportional to the logarithm of the number of items in the
container. One example is qBinaryFind().
\o \bold{Linear time:} O(\e n). A function that runs in linear time
will execute in a time directly proportional to the number of
items stored in the container. One example is
QVector::insert().
\o \bold{Linear-logarithmic time:} O(\e{n} log \e n). A function
that runs in linear-logarithmic time is asymptotically slower
than a linear-time function, but faster than a quadratic-time
function.
\o \bold{Quadratic time:} O(\e{n}\unicode{178}). A quadratic-time function
executes in a time that is proportional to the square of the
number of items stored in the container.
\endlist
The following table summarizes the algorithmic complexity of Qt's
sequential container classes:
\table
\header \o \o Index lookup \o Insertion \o Prepending \o Appending
\row \o QLinkedList<T> \o O(\e n) \o O(1) \o O(1) \o O(1)
\row \o QList<T> \o O(1) \o O(n) \o Amort. O(1) \o Amort. O(1)
\row \o QVector<T> \o O(1) \o O(n) \o O(n) \o Amort. O(1)
\endtable
In the table, "Amort." stands for "amortized behavior". For
example, "Amort. O(1)" means that if you call the function
only once, you might get O(\e n) behavior, but if you call it
multiple times (e.g., \e n times), the average behavior will be
O(1).
The following table summarizes the algorithmic complexity of Qt's
associative containers and sets:
\table
\header \o{1,2} \o{2,1} Key lookup \o{2,1} Insertion
\header \o Average \o Worst case \o Average \o Worst case
\row \o QMap<Key, T> \o O(log \e n) \o O(log \e n) \o O(log \e n) \o O(log \e n)
\row \o QMultiMap<Key, T> \o O((log \e n) \o O(log \e n) \o O(log \e n) \o O(log \e n)
\row \o QHash<Key, T> \o Amort. O(1) \o O(\e n) \o Amort. O(1) \o O(\e n)
\row \o QSet<Key> \o Amort. O(1) \o O(\e n) \o Amort. O(1) \o O(\e n)
\endtable
With QVector, QHash, and QSet, the performance of appending items
is amortized O(log \e n). It can be brought down to O(1) by
calling QVector::reserve(), QHash::reserve(), or QSet::reserve()
with the expected number of items before you insert the items.
The next section discusses this topic in more depth.
\section1 Growth Strategies
QVector<T>, QString, and QByteArray store their items
contiguously in memory; QList<T> maintains an array of pointers
to the items it stores to provide fast index-based access (unless
T is a pointer type or a basic type of the size of a pointer, in
which case the value itself is stored in the array); QHash<Key,
T> keeps a hash table whose size is proportional to the number
of items in the hash. To avoid reallocating the data every single
time an item is added at the end of the container, these classes
typically allocate more memory than necessary.
Consider the following code, which builds a QString from another
QString:
\snippet doc/src/snippets/code/doc_src_containers.qdoc 23
We build the string \c out dynamically by appending one character
to it at a time. Let's assume that we append 15000 characters to
the QString string. Then the following 18 reallocations (out of a
possible 15000) occur when QString runs out of space: 4, 8, 12,
16, 20, 52, 116, 244, 500, 1012, 2036, 4084, 6132, 8180, 10228,
12276, 14324, 16372. At the end, the QString has 16372 Unicode
characters allocated, 15000 of which are occupied.
The values above may seem a bit strange, but here are the guiding
principles:
\list
\o QString allocates 4 characters at a time until it reaches size 20.
\o From 20 to 4084, it advances by doubling the size each time.
More precisely, it advances to the next power of two, minus
12. (Some memory allocators perform worst when requested exact
powers of two, because they use a few bytes per block for
book-keeping.)
\o From 4084 on, it advances by blocks of 2048 characters (4096
bytes). This makes sense because modern operating systems
don't copy the entire data when reallocating a buffer; the
physical memory pages are simply reordered, and only the data
on the first and last pages actually needs to be copied.
\endlist
QByteArray and QList<T> use more or less the same algorithm as
QString.
QVector<T> also uses that algorithm for data types that can be
moved around in memory using memcpy() (including the basic C++
types, the pointer types, and Qt's \l{shared classes}) but uses a
different algorithm for data types that can only be moved by
calling the copy constructor and a destructor. Since the cost of
reallocating is higher in that case, QVector<T> reduces the
number of reallocations by always doubling the memory when
running out of space.
QHash<Key, T> is a totally different case. QHash's internal hash
table grows by powers of two, and each time it grows, the items
are relocated in a new bucket, computed as qHash(\e key) %
QHash::capacity() (the number of buckets). This remark applies to
QSet<T> and QCache<Key, T> as well.
For most applications, the default growing algorithm provided by
Qt does the trick. If you need more control, QVector<T>,
QHash<Key, T>, QSet<T>, QString, and QByteArray provide a trio of
functions that allow you to check and specify how much memory to
use to store the items:
\list
\o \l{QString::capacity()}{capacity()} returns the
number of items for which memory is allocated (for QHash and
QSet, the number of buckets in the hash table).
\o \l{QString::reserve()}{reserve}(\e size) explicitly
preallocates memory for \e size items.
\o \l{QString::squeeze()}{squeeze()} frees any memory
not required to store the items.
\endlist
If you know approximately how many items you will store in a
container, you can start by calling reserve(), and when you are
done populating the container, you can call squeeze() to release
the extra preallocated memory.
*/
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