template <unsigned long N>
struct Fibonacci
{
enum
{
value = Fibonacci<N-1>::value + Fibonacci<N-2>::value
};
static void add_values(vector<unsigned long>& v)
{
Fibonacci<N-1>::add_values(v);
v.push_back(value);
}
};
template <>
struct Fibonacci<0>
{
enum
{
value = 0
};
static void add_values(vector<unsigned long>& v)
{
v.push_back(value);
}
};
template <>
struct Fibonacci<1>
{
enum
{
value = 1
};
static void add_values(vector<unsigned long>& v)
{
Fibonacci<0>::add_values(v);
v.push_back(value);
}
};
int main()
{
vector<unsigned long> fibonacci_seq;
Fibonacci<45>::add_values(fibonacci_seq);
for (int i = 0; i <= 45; ++i)
cout << "F" << i << " is " << fibonacci_seq[i] << '\n';
}
After much thought into the problem, I came up with this solution. Of course, you still have to add the values to a container at run-time, but (importantly) they are not computed at run-time.
As a side note, it’s important not to define Fibonacci<1> above Fibonacci<0>, or your compiler will get very confused when it resolves the call to Fibonacci<0>::add_values, since Fibonacci<0>‘s template specialization has not been specified.
Of course, TMP has its limitations: You need a precomputed maximum, and getting the values at run-time requires recursion (since templates are defined recursively).