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| 1 | +/** |
| 2 | + * @file |
| 3 | + * @brief Implements [Sub-set sum problem] |
| 4 | + * (https://en.wikipedia.org/wiki/Subset_sum_problem) algorithm, which tells |
| 5 | + * whether a subset with target sum exists or not. |
| 6 | + * |
| 7 | + * @details |
| 8 | + * In this problem, we use dynamic programming to find if we can pull out a |
| 9 | + * subset from an array whose sum is equal to a given target sum. The overall |
| 10 | + * time complexity of the problem is O(n * targetSum) where n is the size of |
| 11 | + * the array. For example, array = [1, -10, 2, 31, -6], targetSum = -14. |
| 12 | + * Output: true => We can pick subset [-10, 2, -6] with sum as |
| 13 | + * (-10) + 2 + (-6) = -14. |
| 14 | + * @author [KillerAV](https://github.com/KillerAV) |
| 15 | + */ |
| 16 | + |
| 17 | +#include <cassert> /// for std::assert |
| 18 | +#include <iostream> /// for IO operations |
| 19 | +#include <vector> /// for std::vector |
| 20 | +#include <unordered_map> /// for unordered map |
| 21 | + |
| 22 | +/** |
| 23 | + * @namespace dynamic_programming |
| 24 | + * @brief Dynamic Programming algorithms |
| 25 | + */ |
| 26 | +namespace dynamic_programming { |
| 27 | + |
| 28 | +/** |
| 29 | + * @namespace subset_sum |
| 30 | + * @brief Functions for [Sub-set sum problem] |
| 31 | + * (https://en.wikipedia.org/wiki/Subset_sum_problem) algorithm |
| 32 | + */ |
| 33 | +namespace subset_sum { |
| 34 | + |
| 35 | +/** |
| 36 | + * Recursive function using dynamic programming to find if the required sum |
| 37 | + * subset exists or not. |
| 38 | + * @param arr input array |
| 39 | + * @param targetSum the target sum of the subset |
| 40 | + * @param dp the map storing the results |
| 41 | + * @returns true/false based on if the target sum subset exists or not. |
| 42 | + */ |
| 43 | +bool subset_sum_recursion( |
| 44 | + const std::vector<int> &arr, |
| 45 | + int targetSum, |
| 46 | + std::vector<std::unordered_map<int, bool>> *dp, |
| 47 | + int index = 0) { |
| 48 | + |
| 49 | + if(targetSum == 0) { // Found a valid subset with required sum. |
| 50 | + return true; |
| 51 | + } |
| 52 | + if(index == arr.size()) { // End of array |
| 53 | + return false; |
| 54 | + } |
| 55 | + |
| 56 | + if ((*dp)[index].count(targetSum)) { // Answer already present in map |
| 57 | + return (*dp)[index][targetSum]; |
| 58 | + } |
| 59 | + |
| 60 | + bool ans = subset_sum_recursion(arr, targetSum - arr[index], dp, index + 1) |
| 61 | + || subset_sum_recursion(arr, targetSum, dp, index + 1); |
| 62 | + (*dp)[index][targetSum] = ans; // Save ans in dp map. |
| 63 | + return ans; |
| 64 | +} |
| 65 | + |
| 66 | +/** |
| 67 | + * Function implementing subset sum algorithm using top-down approach |
| 68 | + * @param arr input array |
| 69 | + * @param targetSum the target sum of the subset |
| 70 | + * @returns true/false based on if the target sum subset exists or not. |
| 71 | + */ |
| 72 | +bool subset_sum_problem(const std::vector<int> &arr, const int targetSum) { |
| 73 | + size_t n = arr.size(); |
| 74 | + std::vector<std::unordered_map<int, bool>> dp(n); |
| 75 | + return subset_sum_recursion(arr, targetSum, &dp); |
| 76 | +} |
| 77 | +} // namespace subset_sum |
| 78 | +} // namespace dynamic_programming |
| 79 | + |
| 80 | +/** |
| 81 | + * @brief Test Function |
| 82 | + * @return void |
| 83 | + */ |
| 84 | +static void test() { |
| 85 | + // custom input vector |
| 86 | + std::vector<std::vector<int>> custom_input_arr(3); |
| 87 | + custom_input_arr[0] = std::vector<int> {1, -10, 2, 31, -6}; |
| 88 | + custom_input_arr[1] = std::vector<int> {2, 3, 4}; |
| 89 | + custom_input_arr[2] = std::vector<int> {0, 1, 0, 1, 0}; |
| 90 | + |
| 91 | + std::vector<int> custom_input_target_sum(3); |
| 92 | + custom_input_target_sum[0] = -14; |
| 93 | + custom_input_target_sum[1] = 10; |
| 94 | + custom_input_target_sum[2] = 2; |
| 95 | + |
| 96 | + // calculated output vector by pal_part Function |
| 97 | + std::vector<int> calculated_output(3); |
| 98 | + |
| 99 | + for (int i = 0; i < 3; i++) { |
| 100 | + calculated_output[i] = |
| 101 | + dynamic_programming::subset_sum::subset_sum_problem( |
| 102 | + custom_input_arr[i], custom_input_target_sum[i]); |
| 103 | + } |
| 104 | + |
| 105 | + // expected output vector |
| 106 | + std::vector<bool> expected_output{true, false, true}; |
| 107 | + |
| 108 | + // Testing implementation via assert function |
| 109 | + // It will throw error if any of the expected test fails |
| 110 | + // Else it will give nothing |
| 111 | + for (int i = 0; i < 3; i++) { |
| 112 | + assert(expected_output[i] == calculated_output[i]); |
| 113 | + } |
| 114 | + |
| 115 | + std::cout << "All tests passed successfully!\n"; |
| 116 | +} |
| 117 | + |
| 118 | +/** |
| 119 | + * @brief Main function |
| 120 | + * @returns 0 on exit |
| 121 | + */ |
| 122 | +int main() { |
| 123 | + test(); // execute the test |
| 124 | + return 0; |
| 125 | +} |
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