Data Structures and Algorithms Unit Test 20 of 2220 of 22 Items Question Evaluate the following algorithms in terms of its efficiency, correctness, and clarity. Explain your answer in 3-5 sentences. def partition(arr, low, high): i = (low - 1) pivot = arr[high] for j in range(low, high): if arr[j] <= pivot: i = i + 1 arr[i], arr[j] = arr[j], arr[i] arr[i + 1], arr[high] = arr[high], arr[i + 1] return (i + 1) def quickSort(arr, low, high): if len(arr) == 1: return arr if low < high: pi = partition(arr, low, high) quickSort(arr, low, pi - 1) quickSort(arr, pi + 1, high) (4 points) Short Answer Rubric (4 points) Points Awarded Criteria 4 The answer is very clear. The answer is fully supported by details. There may be a few errors in grammar, usage, or mechanics. Errors do not interfere with meaning. 3 The answer is mostly clear. The answer is supported by mostly relevant details. There are a few errors in grammar, usage, or mechanics. Errors do not interfere with meaning. 2 The answer is somewhat clear. Details are weak or not related. There are some errors in grammar, usage, and mechanics. Errors interfere with meaning. 1 The answer is not clear. There are few or no supporting details. There are many errors in grammar, usage, and mechanics. Errors interfere with meaning. 0 The question is not answered. Skip to navigation page 1 of 1

Answer 1

The provided quicksort algorithm is efficient with an average case time complexity of O(n log n), making it suitable for sorting large datasets. Its correctness is ensured as the partition function accurately places elements relative to the pivot, and the recursive calls handle the sorting of the subarrays correctly. However, it's worth noting that in the worst case (e.g., already sorted data), its time complexity can degrade to O(n^2). The clarity of the implementation is decent, using straightforward naming conventions and structure, although adding comments could enhance its readability, particularly for those unfamiliar with the quicksort algorithm. Overall, the code is a solid implementation of quicksort, balancing efficiency and clarity.