|
| 1 | +""" |
| 2 | +Algorithm: Heap Sort |
| 3 | +Description: Comparison-based sorting algorithm using binary heap data structure |
| 4 | +Time Complexity: O(n log n) for all cases |
| 5 | +Space Complexity: O(1) auxiliary space |
| 6 | +Author: Abhijit |
| 7 | +""" |
| 8 | + |
| 9 | +def heapify(arr, n, i): |
| 10 | + """ |
| 11 | + Heapify a subtree rooted with node i. |
| 12 | + |
| 13 | + Args: |
| 14 | + arr: Array to heapify |
| 15 | + n: Size of heap |
| 16 | + i: Root index of subtree to heapify |
| 17 | + """ |
| 18 | + largest = i |
| 19 | + left = 2 * i + 1 |
| 20 | + right = 2 * i + 2 |
| 21 | + |
| 22 | + if left < n and arr[left] > arr[largest]: |
| 23 | + largest = left |
| 24 | + |
| 25 | + if right < n and arr[right] > arr[largest]: |
| 26 | + largest = right |
| 27 | + |
| 28 | + if largest != i: |
| 29 | + arr[i], arr[largest] = arr[largest], arr[i] |
| 30 | + heapify(arr, n, largest) |
| 31 | + |
| 32 | + |
| 33 | +def heap_sort(input_data): |
| 34 | + """ |
| 35 | + Sorts an array using heap sort algorithm. |
| 36 | +
|
| 37 | + Args: |
| 38 | + input_data: List of comparable elements to sort |
| 39 | +
|
| 40 | + Returns: |
| 41 | + List: Sorted array in ascending order |
| 42 | +
|
| 43 | + Raises: |
| 44 | + ValueError: When input is invalid |
| 45 | + TypeError: When input is not a list |
| 46 | + """ |
| 47 | + if input_data is None: |
| 48 | + raise ValueError("Input cannot be None") |
| 49 | + |
| 50 | + if not isinstance(input_data, list): |
| 51 | + raise TypeError("Input must be a list") |
| 52 | + |
| 53 | + if not input_data: |
| 54 | + return [] |
| 55 | + |
| 56 | + # Create a copy to avoid modifying original |
| 57 | + arr = input_data.copy() |
| 58 | + n = len(arr) |
| 59 | + |
| 60 | + # Build max heap |
| 61 | + for i in range(n // 2 - 1, -1, -1): |
| 62 | + heapify(arr, n, i) |
| 63 | + |
| 64 | + # Extract elements from heap one by one |
| 65 | + for i in range(n - 1, 0, -1): |
| 66 | + arr[0], arr[i] = arr[i], arr[0] |
| 67 | + heapify(arr, i, 0) |
| 68 | + |
| 69 | + return arr |
| 70 | + |
| 71 | + |
| 72 | +def main(): |
| 73 | + """Test the algorithm with example cases.""" |
| 74 | + # Test Case 1 |
| 75 | + test_data = [64, 34, 25, 12, 22, 11, 90] |
| 76 | + result = heap_sort(test_data) |
| 77 | + print(f"Original: {test_data}") |
| 78 | + print(f"Sorted: {result}") |
| 79 | + |
| 80 | + # Test Case 2 - Edge case |
| 81 | + edge_case = [] |
| 82 | + try: |
| 83 | + result = heap_sort(edge_case) |
| 84 | + print(f"Empty array result: {result}") |
| 85 | + except ValueError as e: |
| 86 | + print(f"Handled edge case: {e}") |
| 87 | + |
| 88 | + # Test Case 3 - Single element |
| 89 | + single_element = [42] |
| 90 | + result = heap_sort(single_element) |
| 91 | + print(f"Single element: {single_element} -> {result}") |
| 92 | + |
| 93 | + # Test Case 4 - Already sorted |
| 94 | + sorted_array = [1, 2, 3, 4, 5] |
| 95 | + result = heap_sort(sorted_array) |
| 96 | + print(f"Already sorted: {sorted_array} -> {result}") |
| 97 | + |
| 98 | + # Test Case 5 - Reverse sorted |
| 99 | + reverse_sorted = [5, 4, 3, 2, 1] |
| 100 | + result = heap_sort(reverse_sorted) |
| 101 | + print(f"Reverse sorted: {reverse_sorted} -> {result}") |
| 102 | + |
| 103 | + |
| 104 | +if __name__ == "__main__": |
| 105 | + main() |
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