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docs, test: Fit bubble_sort into guidelines and enhance bubble sort algorithm #2800

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183 changes: 117 additions & 66 deletions sorting/bubble_sort.cpp
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* @file
* @brief Bubble sort algorithm
*
* The working principle of the Bubble sort algorithm:
* @details
* Bubble sort algorithm is the bubble sorting algorithm. The most important reason
* for calling the bubble is that the largest number is thrown at the end of this
* algorithm. This is all about the logic. In each iteration, the largest number is
* expired and when iterations are completed, the sorting takes place.
*
* What is Swap?
*
* Swap in the software means that two variables are displaced.
* An additional variable is required for this operation. x = 5, y = 10.
* We want x = 10, y = 5. Here we create the most variable to do it.
*
* ```cpp
* int z;
* z = x;
* x = y;
* y = z;
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* ```
*
* The above process is a typical displacement process.
* When x assigns the value to x, the old value of x is lost.
* That's why we created a variable z to create the first value of the value of x,
* and finally, we have assigned to y.
*
* ## Bubble Sort Algorithm Analysis (Best Case - Worst Case - Average Case)
*
* ### Best Case
* Bubble Sort Best Case Performance. \f$O(n)\f$. However, you
* can't get the best status in the code we shared above. This happens on the
* optimized bubble sort algorithm. It's right down there.
*
* ### Worst Case
* Bubble Sort Worst Case Performance is \f$O(n^{2})\f$. Why is that? Because if you
* remember Big O Notation, we were calculating the complexity of the algorithms in
* the nested loops. The \f$n * (n - 1)\f$ product gives us \f$O(n^{2})\f$ performance. In the
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* worst case all the steps of the cycle will occur.
*
* ### Average Case
* Bubble Sort is not an optimal algorithm. In average, \f$O(n^{2})\f$ performance is taken.
*
* @author [Deepak](https://github.com/Deepak-j-p)
* @author [Nguyen Phuc Chuong](https://github.com/hollowcrust)
*/

Bubble sort algorithm is the bubble sorting algorithm. The most important reason
for calling the bubble is that the largest number is thrown at the end of this
algorithm. This is all about the logic. In each iteration, the largest number is
expired and when iterations are completed, the sorting takes place.
#include <algorithm> /// for std::is_sorted
#include <cassert> /// for assert
#include <iostream> /// for IO implementations
#include <string> /// for std::string
#include <utility> /// for std::pair, std::swap
#include <vector> /// for std::vector, std::vector::push_back, std::vector::size

What is Swap?
/**
* @namespace sorting
* @brief Sorting algorithms
*/
namespace sorting {
/**
* @namespace bubble_sort
* @brief Bubble sort algorithm
*/
namespace bubble_sort {
/**
* @brief Bubble sort algorithm
* @param array An array to be sorted
* @return The array sorted in ascending order
*/
template <typename T>
std::vector<T> bubble_sort(std::vector<T>& array) {
// swap_check flag to terminate the function early
// if there is no swap occurs in one iteration.
bool swap_check = true;
int size = array.size();
for (int i = 0; (i < size) && (swap_check); i++) {
swap_check = false;
for (int j = 0; j < size - 1 - i; j++) {
if (array[j] > array[j + 1]) {
swap_check = true;
std::swap(array[j], array[j + 1]);
}
}
}

Swap in the software means that two variables are displaced.
An additional variable is required for this operation. x = 5, y = 10.
We want x = 10, y = 5. Here we create the most variable to do it.
return array;
}
} // namespace bubble_sort
} // namespace sorting

int z;
z = x;
x = y;
y = z;
/**
* @brief Self-test implementation
* @return void
*/
static void test() {
std::vector<int> vec_1 = {3, 1, -9, 0};
std::vector<int> sorted_1 = sorting::bubble_sort::bubble_sort(vec_1);

The above process is a typical displacement process.
When x assigns the value to x, the old value of x is lost.
That's why we created a variable z to create the first value of the value of x,
and finally, we have assigned to y.
std::vector<int> vec_2 = {3};
std::vector<int> sorted_2 = sorting::bubble_sort::bubble_sort(vec_2);

Bubble Sort Algorithm Analysis (Best Case - Worst Case - Average Case)
std::vector<int> vec_3 = {10, 10, 10, 10, 10};
std::vector<int> sorted_3 = sorting::bubble_sort::bubble_sort(vec_3);

Bubble Sort Worst Case Performance is O (n²). Why is that? Because if you
remember Big O Notation, we were calculating the complexity of the algorithms in
the nested loops. The n * (n - 1) product gives us O (n²) performance. In the
worst case all the steps of the cycle will occur. Bubble Sort (Avarage Case)
Performance. Bubble Sort is not an optimal algorithm. in average, O (n²)
performance is taken. Bubble Sort Best Case Performance. O (n). However, you
can't get the best status in the code we shared above. This happens on the
optimized bubble sort algorithm. It's right down there.
*/
std::vector<float> vec_4 = {1234, -273.1, 23, 150, 1234, 1555.55, -2000};
std::vector<float> sorted_4 = sorting::bubble_sort::bubble_sort(vec_4);

#include <iostream>
#include <vector>
std::vector<char> vec_5 = {'z', 'Z', 'a', 'B', ' ', 'c', 'a'};
std::vector<char> sorted_5 = sorting::bubble_sort::bubble_sort(vec_5);

int main() {
int n;
bool swap_check = true;
std::cout << "Enter the amount of numbers to sort: ";
std::cin >> n;
std::vector<int> numbers;
std::cout << "Enter " << n << " numbers: ";
int num;
std::vector<std::string> vec_6 = {"Hello", "hello", "Helo", "Hi", "hehe"};
std::vector<std::string> sorted_6 = sorting::bubble_sort::bubble_sort(vec_6);

// Input
for (int i = 0; i < n; i++) {
std::cin >> num;
numbers.push_back(num);
}
std::vector<std::pair<int, char>> vec_7 = {{10, 'c'}, {2, 'z'}, {10, 'a'}, {0, 'b'}, {-1, 'z'}};
std::vector<std::pair<int, char>> sorted_7 = sorting::bubble_sort::bubble_sort(vec_7);

// Bubble Sorting
for (int i = 0; (i < n) && (swap_check); i++) {
swap_check = false;
for (int j = 0; j < n - 1 - i; j++) {
if (numbers[j] > numbers[j + 1]) {
swap_check = true;
std::swap(numbers[j],
numbers[j + 1]); // by changing swap location.
// I mean, j. If the number is
// greater than j + 1, then it
// means the location.
}
}
}
assert(std::is_sorted(sorted_1.begin(), sorted_1.end()));
assert(std::is_sorted(sorted_2.begin(), sorted_2.end()));
assert(std::is_sorted(sorted_3.begin(), sorted_3.end()));
assert(std::is_sorted(sorted_4.begin(), sorted_4.end()));
assert(std::is_sorted(sorted_5.begin(), sorted_5.end()));
assert(std::is_sorted(sorted_6.begin(), sorted_6.end()));
assert(std::is_sorted(sorted_7.begin(), sorted_7.end()));
}

// Output
std::cout << "\nSorted Array : ";
for (int i = 0; i < numbers.size(); i++) {
if (i != numbers.size() - 1) {
std::cout << numbers[i] << ", ";
} else {
std::cout << numbers[i] << std::endl;
}
}
return 0;
/**
* @brief Main function
* @return 0 on exit
*/
int main() {
test();
return 0;
}
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