I was kind of shocked that no one proposed some arithmetic-magic based loop to do the work. Since C. Wang is looking for a solution with no nested loops, I'll propose one:
double B[10][8][5];
int index = 0;
while (index < (10 * 8 * 5))
{
const int x = index % 10,
y = (index / 10) % 10,
z = index / 100;
do_something_on_B(B[x][y][z]);
++index;
}
Well, this approach isn't elegant and flexible, so we could pack all the process into a template function:
template <typename F, typename T, int X, int Y, int Z>
void iterate_all(T (&xyz)[X][Y][Z], F func)
{
const int limit = X * Y * Z;
int index = 0;
while (index < limit)
{
const int x = index % X,
y = (index / X) % Y,
z = index / (X * Y);
func(xyz[x][y][z]);
++index;
}
}
This template function can be expressed in the form of nested loops as well:
template <typename F, typename T, int X, int Y, int Z>
void iterate_all(T (&xyz)[X][Y][Z], F func)
{
for (auto &yz : xyz)
{
for (auto &z : yz)
{
for (auto &v : z)
{
func(v);
}
}
}
}
And can be used providing a 3D array of arbitrary size plus the function name, letting the parameter deduction do the hard work of counting the size of each dimension:
int main()
{
int A[10][8][5] = {{{0, 1}, {2, 3}}, {{4, 5}, {6, 7}}};
int B[7][99][8] = {{{0, 1}, {2, 3}}, {{4, 5}, {6, 7}}};
iterate_all(A, do_something_on_A);
iterate_all(B, do_something_on_B);
return 0;
}
Towards more generic
But once again, it lacks of flexibility 'cause it only works for 3D arrays, but using SFINAE we can do the work for arrays of an arbitrary dimension, first we need a template function which iterates arrays of rank 1:
template<typename F, typename A>
typename std::enable_if< std::rank<A>::value == 1 >::type
iterate_all(A &xyz, F func)
{
for (auto &v : xyz)
{
func(v);
}
}
And another one which iterates arrays of any rank, doing the recursion:
template<typename F, typename A>
typename std::enable_if< std::rank<A>::value != 1 >::type
iterate_all(A &xyz, F func)
{
for (auto &v : xyz)
{
iterate_all(v, func);
}
}
This allows us to iterate all the elements in all the dimensions of a arbitrary-dimensions arbitrary-sized array.
Working with std::vector
For the multiple nested vector, the solution ressembles the one of arbitrary-dimensions arbitrary-sized array, but without SFINAE: First we will need a template function that iterates std::vector
s and calls the desired function:
template <typename F, typename T, template<typename, typename> class V>
void iterate_all(V<T, std::allocator<T>> &xyz, F func)
{
for (auto &v : xyz)
{
func(v);
}
}
And another template function that iterates any kind of vector of vectors and calls himself:
template <typename F, typename T, template<typename, typename> class V>
void iterate_all(V<V<T, std::allocator<T>>, std::allocator<V<T, std::allocator<T>>>> &xyz, F func)
{
for (auto &v : xyz)
{
iterate_all(v, func);
}
}
Regardless of the nesting level, iterate_all
will call the vector-of-vectors version unless the vector-of-values version is a better match thus ending the recursivity.
int main()
{
using V0 = std::vector< std::vector< std::vector<int> > >;
using V1 = std::vector< std::vector< std::vector< std::vector< std::vector<int> > > > >;
V0 A0 = {{{0, 1}, {2, 3}}, {{4, 5}, {6, 7}}};
V1 A1 = {{{{{9, 8}, {7, 6}}, {{5, 4}, {3, 2}}}}};
iterate_all(A0, do_something_on_A);
iterate_all(A1, do_something_on_A);
return 0;
}
I think that the function body is pretty simple and straight-forward... I wonder if the compiler could unroll this loops (I'm almost sure that most compilers could unroll the first example).
See live demo here.
Hope it helps.