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| 1 | +def wave_sort(arr): |
| 2 | + if len(arr) <= 1: |
| 3 | + return arr |
| 4 | + |
| 5 | + # Step 1: Divide the array into smaller sub-arrays |
| 6 | + mid = len(arr) // 2 |
| 7 | + left_half = wave_sort(arr[:mid]) |
| 8 | + right_half = wave_sort(arr[mid:]) |
| 9 | + |
| 10 | + # Step 2: Sort each sub-array individually |
| 11 | + left_half.sort() |
| 12 | + right_half.sort() |
| 13 | + |
| 14 | + # Step 3: Shuffle the sorted sub-arrays in a wave-like pattern |
| 15 | + shuffled_array = [] |
| 16 | + i, j = 0, 0 |
| 17 | + toggle = True |
| 18 | + |
| 19 | + while i < len(left_half) and j < len(right_half): |
| 20 | + if toggle: |
| 21 | + shuffled_array.append(left_half[i]) |
| 22 | + i += 1 |
| 23 | + else: |
| 24 | + shuffled_array.append(right_half[j]) |
| 25 | + j += 1 |
| 26 | + toggle = not toggle |
| 27 | + |
| 28 | + # Append remaining elements if any |
| 29 | + shuffled_array.extend(left_half[i:]) |
| 30 | + shuffled_array.extend(right_half[j:]) |
| 31 | + |
| 32 | + # Step 4: Merge the sub-arrays back together |
| 33 | + final_array = [] |
| 34 | + n = len(shuffled_array) |
| 35 | + for k in range(n): |
| 36 | + if k % 2 == 0: |
| 37 | + final_array.append(shuffled_array[k]) |
| 38 | + else: |
| 39 | + final_array.append(shuffled_array[-(k // 2 + 1)]) |
| 40 | + |
| 41 | + # Step 5: Final pass to ensure complete sorting |
| 42 | + for l in range(1, len(final_array)): |
| 43 | + key = final_array[l] |
| 44 | + m = l - 1 |
| 45 | + while m >= 0 and final_array[m] > key: |
| 46 | + final_array[m + 1] = final_array[m] |
| 47 | + m -= 1 |
| 48 | + final_array[m + 1] = key |
| 49 | + |
| 50 | + return final_array |
| 51 | + |
| 52 | +# Test the Wave Sort algorithm |
| 53 | +arr = [34, 7, 23, 32, 5, 62, 32, 2, 43] |
| 54 | +sorted_arr = wave_sort(arr) |
| 55 | +print("Original array:", arr) |
| 56 | +print("Sorted array using Wave Sort:", sorted_arr) |
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