Code Simplifier | C/C++

Minified Quick Sort Function

This document presents a refactored and minified version of the Quick Sort algorithm in Python, highlighting code improvements, test cases, and results that demonstrate its functionality and efficiency in sorting arrays.


Empty image or helper icon

Prompt

def quick_sort(arr):
 
 if len(arr) <= 1:
 return arr
 pivot = arr[len(arr) // 2]
 left = [x for x in arr if x < pivot]
 middle = [x for x in arr if x == pivot]
 right = [x for x in arr if x > pivot]
 return quick_sort(left) + middle + quick_sort(right)

Answer

Refactored and Minified Quick Sort Function

Original Code Understanding

The provided code implements the Quick Sort algorithm. Key components are:

  • A base case to handle arrays with one or no elements.
  • Selection of a pivot element.
  • Partitioning of the array into three sub-arrays: elements less than the pivot, elements equal to the pivot, and elements greater than the pivot.
  • Recursive sorting of the left and right sub-arrays.

Refactoring and Minification

Here is the refactored and minified version of the Quick Sort function:

def qsort(arr):
 if len(arr) <= 1: return arr
 p = arr[len(arr) // 2]
 return qsort([x for x in arr if x < p]) + [x for x in arr if x == p] + qsort([x for x in arr if x > p])

Changes Made:

  1. Function Naming: Shortened quick_sort to qsort for brevity.
  2. Variable Naming: Shortened pivot to p.
  3. Consolidation: Integrated the comprehension lists directly into the return statement.
  4. Whitespace and Line Breaks: Removed non-essential whitespace and line breaks to minimize the code.

Test Cases and Results

Test Case 1:

Input: [3, 6, 8, 10, 1, 2, 1]
Expected Output: [1, 1, 2, 3, 6, 8, 10]
Actual Output: [1, 1, 2, 3, 6, 8, 10]

Test Case 2:

Input: [9, -3, 5, 2, 6, 8, -6, 1, 3]
Expected Output: [-6, -3, 1, 2, 3, 5, 6, 8, 9]
Actual Output: [-6, -3, 1, 2, 3, 5, 6, 8, 9]

Test Case 3:

Input: []
Expected Output: []
Actual Output: []

Test Case 4:

Input: [1]
Expected Output: [1]
Actual Output: [1]

Test Case 5:

Input: [5, 5, 5, 5]
Expected Output: [5, 5, 5, 5]
Actual Output: [5, 5, 5, 5]

Summary

The refactored and minified Quick Sort function retains all original functionalities while reducing code length and complexity. Further improvements or learning opportunities can be explored through the Enterprise DNA Platform for more advanced data manipulation and coding techniques.

Create your Thread using our flexible tools, share it with friends and colleagues.

Your current query will become the main foundation for the thread, which you can expand with other tools presented on our platform. We will help you choose tools so that your thread is structured and logically built.

Description

This document presents a refactored and minified version of the Quick Sort algorithm in Python, highlighting code improvements, test cases, and results that demonstrate its functionality and efficiency in sorting arrays.