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| 1 | +def max_heap_sort(arr): |
| 2 | + """ Heap Sort that uses a max heap to sort an array in ascending order |
| 3 | + Complexity: O(n log(n)) |
| 4 | + """ |
| 5 | + for i in range(len(arr)-1,0,-1): |
| 6 | + max_heapify(arr, i) |
| 7 | + |
| 8 | + temp = arr[0] |
| 9 | + arr[0] = arr[i] |
| 10 | + arr[i] = temp |
| 11 | + |
| 12 | + |
| 13 | +def max_heapify(arr, end): |
| 14 | + """ Max heapify helper for max_heap_sort |
| 15 | + """ |
| 16 | + last_parent = int((end-1)/2) |
| 17 | + |
| 18 | + # Iterate from last parent to first |
| 19 | + for parent in range(last_parent,-1,-1): |
| 20 | + current_parent = parent |
| 21 | + |
| 22 | + # Iterate from current_parent to last_parent |
| 23 | + while current_parent <= last_parent: |
| 24 | + # Find greatest child of current_parent |
| 25 | + child = 2*current_parent + 1 |
| 26 | + if child + 1 <= end and arr[child] < arr[child+1]: |
| 27 | + child = child + 1 |
| 28 | + |
| 29 | + # Swap if child is greater than parent |
| 30 | + if arr[child] > arr[current_parent]: |
| 31 | + temp = arr[current_parent] |
| 32 | + arr[current_parent] = arr[child] |
| 33 | + arr[child] = temp |
| 34 | + |
| 35 | + current_parent = child |
| 36 | + # If no swap occured, no need to keep iterating |
| 37 | + else: |
| 38 | + break |
| 39 | + |
| 40 | + |
| 41 | +def min_heap_sort(arr): |
| 42 | + """ Heap Sort that uses a min heap to sort an array in ascending order |
| 43 | + Complexity: O(n log(n)) |
| 44 | + """ |
| 45 | + for i in range(0, len(arr)-1): |
| 46 | + min_heapify(arr, i) |
| 47 | + |
| 48 | + |
| 49 | +def min_heapify(arr, start): |
| 50 | + """ Min heapify helper for min_heap_sort |
| 51 | + """ |
| 52 | + # Offset last_parent by the start (last_parent calculated as if start index was 0) |
| 53 | + # All array accesses need to be offet by start |
| 54 | + end = len(arr)-1 |
| 55 | + last_parent = int((end-start-1)/2) |
| 56 | + |
| 57 | + # Iterate from last parent to first |
| 58 | + for parent in range(last_parent,-1,-1): |
| 59 | + current_parent = parent |
| 60 | + |
| 61 | + # Iterate from current_parent to last_parent |
| 62 | + while current_parent <= last_parent: |
| 63 | + # Find lesser child of current_parent |
| 64 | + child = 2*current_parent + 1 |
| 65 | + if child + 1 <= end-start and arr[child+start] > arr[child+1+start]: |
| 66 | + child = child + 1 |
| 67 | + |
| 68 | + # Swap if child is less than parent |
| 69 | + if arr[child+start] < arr[current_parent+start]: |
| 70 | + temp = arr[current_parent+start] |
| 71 | + arr[current_parent+start] = arr[child+start] |
| 72 | + arr[child+start] = temp |
| 73 | + |
| 74 | + current_parent = child |
| 75 | + # If no swap occured, no need to keep iterating |
| 76 | + else: |
| 77 | + break |
| 78 | + |
| 79 | +if __name__ == '__main__': |
| 80 | + import timeit |
| 81 | + |
| 82 | + array = [1,5,65,23,57,1232,-1,-5,-2,242,100,4,423,2,564,9,0,10,43,64] |
| 83 | + print("array:") |
| 84 | + print(array) |
| 85 | + print("Max Heapify:") |
| 86 | + max_heap_sort(array) |
| 87 | + print(array) |
| 88 | + array = [1,5,65,23,57,1232,-1,-5,-2,242,100,4,423,2,564,9,0,10,43,64] |
| 89 | + print("Min Heapify:") |
| 90 | + min_heap_sort(array) |
| 91 | + print(array) |
| 92 | + print("Max Heapify Time:", timeit.timeit('max_heap_sort(array)', setup="from __main__ import max_heap_sort, array",number=10000)) |
| 93 | + print("Min Heapify Time:", timeit.timeit('min_heap_sort(array)', setup="from __main__ import min_heap_sort, array",number=10000)) |
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