feat: Reworked binary_search.cpp (#1854)

* feat: Reworked binary_search.cpp

* clang-format and clang-tidy fixes for 137be8ab

* Update search/binary_search.cpp

Co-authored-by: David Leal <halfpacho@gmail.com>

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: David Leal <halfpacho@gmail.com>
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/** /******************************************************************************
* @file * @file
* @brief [Binary search * @brief [Binary search
* algorithm](https://en.wikipedia.org/wiki/Binary_search_algorithm) * algorithm](https://en.wikipedia.org/wiki/Binary_search_algorithm)
*/ * @details
#include <iostream> * Binary search is a search algorithm that finds the position of a target value
* within a sorted array. Binary search compares the target value to the middle
* element of the array. If they are not equal, the half in which the target
* cannot lie is eliminated and the search continues on the remaining half,
* again taking the middle element to compare to the target value, and repeating
* this until the target value is found. If the search ends with the remaining
* half being empty, the target is not in the array.
*
* ### Implementation
*
* Binary search works on sorted arrays. Binary search begins by comparing an
* element in the middle of the array with the target value. If the target value
* matches the element, its position in the array is returned. If the target
* value is less than the element, the search continues in the lower half of
* the array. If the target value is greater than the element, the search
* continues in the upper half of the array. By doing this, the algorithm
* eliminates the half in which the target value cannot lie in each iteration.
*
* ### Complexities
*
* //n is the number of element in the array.
*
* Worst-case time complexity O(log n)
* Best-case time complexity O(1)
* Average time complexity O(log n)
* Worst-case space complexity 0(1)
*
* @author [Lajat Manekar](https://github.com/Lazeeez)
* @author Unknown author
*******************************************************************************/
/** binary_search function #include <algorithm> /// for std::sort function
* \param [in] a array to sort #include <cassert> /// for std::assert
* \param [in] r right hand limit = \f$n-1\f$ #include <iostream> /// for IO operations
* \param [in] key value to find #include <vector> /// for std::vector
* \returns index if T is found /******************************************************************************
* \return -1 if T is not found * @namespace search
*/ * @brief Searching algorithms
int binary_search(int a[], int r, int key) { *******************************************************************************/
int l = 0; namespace search {
while (l <= r) { /******************************************************************************
int m = l + (r - l) / 2; * @namespace binary_search
if (key == a[m]) * @brief Binary search searching algorihm
*******************************************************************************/
namespace binary_search {
/******************************************************************************
* @brief The main function which implements binary search
* @param arr vector to be searched in
* @param val value to be searched
* @returns @param int index of val in vector arr
*******************************************************************************/
uint64_t binarySearch(std::vector<uint64_t> arr, uint64_t val) {
uint64_t low = 0; // set the lowest point of the vector.
uint64_t high = arr.size() - 1; // set the highest point of the vector.
while (low <= high) {
uint64_t m = low + (high - low) / 2; // set the pivot point
if (val == arr[m]) {
return m; return m;
else if (key < a[m]) } /****************************************************
r = m - 1; * if pivot point is the val, return it,
else * else check if val is greater or smaller than pivot value
l = m + 1; * and set the next pivot point accordingly.
****************************************************/
else if (val < arr[m]) {
high = m - 1;
} else {
low = m + 1;
} }
return -1; }
return -1; // if val is not in the array, return -1.
} }
/** main function */ } // namespace binary_search
int main(int argc, char const* argv[]) {
int n, key;
std::cout << "Enter size of array: ";
std::cin >> n;
std::cout << "Enter array elements: ";
int* a = new int[n]; } // namespace search
// this loop use for store value in Array /*******************************************************************************
for (int i = 0; i < n; i++) { * @brief Self-test implementation #1
std::cin >> a[i]; * @returns void
} *******************************************************************************/
static void test1() {
// testcase #1
// array = [1,3,5,7,9,8,6,4,2] , Value = 4
// should return 3
std::cout << "Enter search key: "; std::vector<uint64_t> arr = {{1, 3, 5, 7, 9, 8, 6, 4, 2}};
std::cin >> key; std::sort(arr.begin(), arr.end());
uint64_t expected_ans = 3;
uint64_t derived_ans = search::binary_search::binarySearch(arr, 4);
std::cout << "Test #1: ";
assert(derived_ans == expected_ans);
std::cout << "Passed!" << std::endl;
}
// this is use for find value in given array /*******************************************************************************
int res = binary_search(a, n - 1, key); * @brief Self-test implementation #2
if (res != -1) * @returns void
std::cout << key << " found at index " << res << std::endl; *******************************************************************************/
else void test2() {
std::cout << key << " not found" << std::endl; // testcase #2
// array = [1,23,25,4,2] , Value = 25
// should return 4
std::vector<uint64_t> arr = {{1, 23, 25, 4, 2}};
std::sort(arr.begin(), arr.end());
uint64_t expected_ans = 4;
uint64_t derived_ans = search::binary_search::binarySearch(arr, 25);
std::cout << "Test #2: ";
assert(derived_ans == expected_ans);
std::cout << "Passed!" << std::endl;
}
/*******************************************************************************
* @brief Self-test implementation #3
* @returns void
*******************************************************************************/
void test3() {
// testcase #3
// array = [1,31,231,12,12,2,5,51,21,23,12,3] , Value = 5
// should return 8
std::vector<uint64_t> arr = {{1, 31, 231, 12, 2, 5, 51, 21, 23, 12, 3}};
std::sort(arr.begin(), arr.end());
uint64_t expected_ans = 8;
uint64_t derived_ans = search::binary_search::binarySearch(arr, 31);
std::cout << "Test #3: ";
assert(derived_ans == expected_ans);
std::cout << "Passed!" << std::endl;
}
/*******************************************************************************
* @brief Main function
* @returns 0 on exit
*******************************************************************************/
int main() {
test1(); // run self-test implementation #1
test2(); // run self-test implementation #2
test3(); // run self-test implementation #3
delete[] a;
return 0; return 0;
} }