chore: import upstream snapshot with attribution
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wehub-resource-sync
2026-07-13 12:37:28 +08:00
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/**
* @file
* @brief [Factorial](https://en.wikipedia.org/wiki/Factorial) calculation using
* recursion and [memoization](https://en.wikipedia.org/wiki/Memoization)
* @details
* This program computes the factorial of a non-negative integer using recursion
* with memoization (top-down dynamic programming). It stores intermediate
* results to avoid redundant calculations for improved efficiency.
*
* Memoization is a form of caching where the result to an expensive function
* call is stored and returned. Example: Input: n = 5 Output: 120
*
* Explanation: 5! = 5 × 4 × 3 × 2 × 1 = 120
*
* The program uses a recursive function which caches computed
* results in a memo array to avoid recalculating factorials for the same
* numbers.
*
* Time Complexity: O(n)
* Space Complexity: O(n)
*/
#include <cassert> // For test cases
#include <cstdint> // For uint64_t
#include <vector> // For std::vector
class MemorisedFactorial {
std::vector<std::uint64_t> known_values = {1};
public:
/**
* @note This function was intentionally written as recursive
* and it does not handle overflows.
* @returns factorial of n
*/
std::uint64_t operator()(std::uint64_t n) {
if (n >= this->known_values.size()) {
this->known_values.push_back(n * this->operator()(n - 1));
}
return this->known_values.at(n);
}
};
void test_MemorisedFactorial_in_order() {
auto factorial = MemorisedFactorial();
assert(factorial(0) == 1);
assert(factorial(1) == 1);
assert(factorial(5) == 120);
assert(factorial(10) == 3628800);
}
void test_MemorisedFactorial_no_order() {
auto factorial = MemorisedFactorial();
assert(factorial(10) == 3628800);
}
/**
* @brief Main function to run tests
* @returns 0 on program success
*/
int main() {
test_MemorisedFactorial_in_order();
test_MemorisedFactorial_no_order();
return 0;
}