Internally, lambdas are function pointers + the context, and the context may or may not be dynamically allocated depending on how lambdas are used.
Internally, lambdas are function pointers + the context, and the context may or may not be dynamically allocated depending on how lambdas are used.
Lambdas are essentially syntactic sugar for an anonymous struct holding references to/copies of captured variables and an operator() method with your code. Not 100% precise, but memory-wise that's how it works (and has to work). No dynamic memory allocation is involved here at all.
If you put a lambda (or any other callable) in a std::function, the std::function will copy that functor object, either into its own small-buffer-optimized in-place storage or (above a certain functor size) into heap-allocated memory.
// A. Using a struct. The old manual way.
struct my_lambda {
my_lambda(int c) : c_(c) {}
int operator() (int x) const {
return x == c_;
}
int c_;
};
auto f(vector<int> numbers) {
my_lambda lam(2);
// remove all the matching elements
erase_if(numbers, lam);
return numbers;
}
// B. Using a lambda
auto g(vector<int> numbers) {
int c = 2;
erase_if(numbers, [c](int x) { return x == c; });
return numbers;
}When closing over a variable by reference, if the lambda need to survive the local scope heap allocating the closure itself won't help. Instead you need to explicitly heap allocate the closed over variable itself (and close over the, usually smart, pointer).
When closing over by vale, there is no such issue, closed over variables are copied over along the lambda and it can be safely, for example, be returned from a function.
Copying might be expensive if the lambda is closing over an expensive to copy object, but move semantics are always an option.
Lambdas are value types, they are usually copied around. so when closing over ither va