I\'ve enabled iterator debugging in an application by defining
_HAS_ITERATOR_DEBUGGING = 1
I was expecting this to really just check vector
According to http://msdn.microsoft.com/en-us/library/aa985982%28v=VS.80%29.aspx
The C++ standard describes which member functions cause iterators to a container to become invalid. Two examples are:
- Erasing an element from a container causes iterators to the element to become invalid.
- Increasing the size of a vector (push or insert) causes iterators into the vector container become invalid.
As far as I understand:
_HAS_ITERATOR_DEBUGGING will display a dialog box at run time to assert any incorrect iterator use including:
1) Iterators used in a container after an element is erased
2) Iterators used in vectors after a .push() or .insert() function is called
There is a number of operations with iterators which lead to undefined behavior, the goal of this trigger is to activate runtime checks to prevent it from occurring (using asserts).
The issue
The obvious operation is to use an invalid iterator, but this invalidity may arise from various reasons:
vector
)[begin, end)
The standard specifies in excruciating details for each container which operation invalidates which iterator.
There is also a somehow less obvious reason that people tend to forget: mixing iterators to different containers:
std::vector<Animal> cats, dogs;
for_each(cats.begin(), dogs.end(), /**/); // obvious bug
This pertain to a more general issue: the validity of ranges passed to the algorithms.
[cats.begin(), dogs.end())
is invalid (unless one is an alias for the other)[cats.end(), cats.begin())
is invalid (unless cats
is empty ??)The solution
The solution consists in adding information to the iterators so that their validity and the validity of the ranges they defined can be asserted during execution thus preventing undefined behavior to occur.
The _HAS_ITERATOR_DEBUGGING
symbol serves as a trigger to this capability, because it unfortunately slows down the program. It's quite simple in theory: each iterator is made an Observer
of the container it's issued from and is thus notified of the modification.
In Dinkumware this is achieved by two additions:
And this neatly solves our problems:
The cost
The cost is heavy, but does correctness have a price? We can break down the cost:
O(NbIterators)
O(NbIterators)
(Note that push_back
or insert
do not necessarily invalidate all iterators, but erase
does)O( min(last-first, container.end()-first) )
Most of the library algorithms have of course been implemented for maximum efficiency, typically the check is done once and for all at the beginning of the algorithm, then an unchecked version is run. Yet the speed might severely slow down, especially with hand-written loops:
for (iterator_t it = vec.begin();
it != vec.end(); // Oops
++it)
// body
We know the Oops line is bad taste, but here it's even worse: at each run of the loop, we create a new iterator then destroy it which means allocating and deallocating a node for vec
's list of iterators... Do I have to underline the cost of allocating/deallocating memory in a tight loop ?
Of course, a for_each
would not encounter such an issue, which is yet another compelling case toward the use of STL algorithms instead of hand-coded versions.