Quick Sort in Every LanguagePublished on 29 November 2018 (Updated: 02 May 2020)
In this article, we’ll cover Quick Sort, a rather efficient sorting algorithm.
Quick sort is an algorithm that works by dividing a list into smaller lists. It recursively partially sorts and divides each sublist into further lists until it reaches the base case of a list that is either empty or contains only a single element, because those cases are by definition already sorted. After that it concatenates all of the sublists together into a single sorted list.
Step by step the process is:
- Pick an element. This element is called the pivot.
- Move all elements in the list that are greater than the pivot after the pivot
- Move all elements that are less than the pivot before the pivot.
- Recursively repeat steps 1-4 until a list of size 0-1 is found.
- Concatinate all the sublists into a single sorted list.
The performance of sorting algorithms is generally defined in “Big O notation”. If you are not familiar with such notations, please refer to the relevant article by Rob Bell or the wikipedia entry listed in further readings below.
|Best case||O(n log n)|
|Average case||O(n log n)|
As the name implies, quicksort is a rather efficient algorithm; however, its performance can be affected by the pivot that is selected. For example, always selecting the last element in the list (or sublist) can make the algorithm easy to write, but on a sorted list that will lead to an efficiency of O(n2) (the worst case).
The example below was taken from Wikipedia’s article about Quick sort. The bolded elements are the pivots. In this example, the last element in each list/sublist was chosen to be the pivot, but that is not necesary. (See the section about performance above.) Each row shows the comparison of an element to the pivot (steps 2-3). The arrows convey splitting each list into sublists and then bringing them back together (steps 4-5).
Write a sample program that takes a list of numbers in the format “4, 5, 3, 1, 2”. It should then sort the numbers and output them:
$ ./quick-sort.lang "4, 5, 3, 1, 2" 1, 2, 3, 4, 5
The solution should handle duplicate elements
$ ./quick-sort.lang "4, 5, 3, 1, 4, 2" 1, 2, 3, 4, 4, 5
In addition, there should be some error handling for situations where the user doesn’t supply correct input.
The following table contains various test cases that you can use to verify the correctness of your solution:
|No Input||Usage: please provide a list of at least two integers to sort in the format “1, 2, 3, 4, 5”|
|Empty Input||””||Usage: please provide a list of at least two integers to sort in the format “1, 2, 3, 4, 5”|
|Invalid Input: Not a list||1||Usage: please provide a list of at least two integers to sort in the format “1, 2, 3, 4, 5”|
|Invalid Input: Wrong Format||4 5 3||Usage: please provide a list of at least two integers to sort in the format “1, 2, 3, 4, 5”|
|Sample Input||4, 5, 3, 1, 2||1, 2, 3, 4, 5|
|Sample Input: With Duplicate||4, 5, 3, 1, 4, 2||1, 2, 3, 4, 4, 5|
|Sample Input: Already Sorted||1, 2, 3, 4, 5||1, 2, 3, 4, 5|
|Sample Input: Reverse Sorted||9, 8, 7, 6, 5, 4, 3, 2, 1||1, 2, 3, 4, 5, 6, 7, 8, 9|
- Quick Sort in Python on 17 January 2019 by Haseeb Majid