w3resource

Python: Sort unsorted numbers using Multi-key quicksort

Python Search and Sorting : Exercise-32 with Solution

Write a Python program to sort unsorted numbers using Multi-key quicksort.

From Wikipedia-
Multi-key quicksort:
This algorithm is a combination of radix sort and quicksort. Pick an element from the array (the pivot) and consider the first character (key) of the string (multikey). Partition the remaining elements into three sets: those whose corresponding character is less than, equal to, and greater than the pivot's character. Recursively sort the "less than" and "greater than" partitions on the same character.

Sample Solution:

Python Code:

#Ref.https://bit.ly/36fvcEw
def quick_sort_3partition(sorting: list, left: int, right: int) -> None:
    if right <= left:
        return
    a = i = left
    b = right
    pivot = sorting[left]
    while i <= b:
        if sorting[i] < pivot:
            sorting[a], sorting[i] = sorting[i], sorting[a]
            a += 1
            i += 1
        elif sorting[i] > pivot:
            sorting[b], sorting[i] = sorting[i], sorting[b]
            b -= 1
        else:
            i += 1
    quick_sort_3partition(sorting, left, a - 1)
    quick_sort_3partition(sorting, b + 1, right)
def three_way_radix_quicksort(sorting: list) -> list:
    if len(sorting) <= 1:
        return sorting
    return (
        three_way_radix_quicksort([i for i in sorting if i < sorting[0]])
        + [i for i in sorting if i == sorting[0]]
        + three_way_radix_quicksort([i for i in sorting if i > sorting[0]])
    )
nums = [4, 3, 5, 1, 2]
print("\nOriginal list:")
print(nums)
print("After applying Random Pivot Quick Sort the said list becomes:")
quick_sort_3partition(nums, 0, len(nums)-1)
print(nums)
nums = [5, 9, 10, 3, -4, 5, 178, 92, 46, -18, 0, 7]
print("\nOriginal list:")
print(nums)
print("After applying Multi-key quicksort the said list becomes:")
quick_sort_3partition(nums, 0,  len(nums)-1)
print(nums)
nums = [1.1, 1, 0, -1, -1.1, .1]
print("\nOriginal list:")
print(nums)
print("After applying Multi-key quicksort the said list becomes:")
quick_sort_3partition(nums, 0, len(nums)-1)
print(nums)
nums = [1.1, 1, 0, -1, -1.1, .1]
print("\nOriginal list:")
print(nums)
print("After applying Multi-key quicksort the said list becomes:")
quick_sort_3partition(nums, 1,  len(nums)-1)
print(nums)
nums = ['z','a','y','b','x','c']
print("\nOriginal list:")
print(nums)
print("After applying Multi-key quicksort the said list becomes:")
quick_sort_3partition(nums, 0, len(nums)-1)
print(nums)
nums = ['z','a','y','b','x','c']
print("\nOriginal list:")
print(nums)
print("After applying Multi-key quicksort the said list becomes:")
quick_sort_3partition(nums, 2,  len(nums)-1)
print(nums) 

Sample Output:

Original list:
[4, 3, 5, 1, 2]
After applying Random Pivot Quick Sort the said list becomes:
[1, 2, 3, 4, 5]

Original list:
[5, 9, 10, 3, -4, 5, 178, 92, 46, -18, 0, 7]
After applying Multi-key quicksort the said list becomes:
[-18, -4, 0, 3, 5, 5, 7, 9, 10, 46, 92, 178]

Original list:
[1.1, 1, 0, -1, -1.1, 0.1]
After applying Multi-key quicksort the said list becomes:
[-1.1, -1, 0, 0.1, 1, 1.1]

Original list:
[1.1, 1, 0, -1, -1.1, 0.1]
After applying Multi-key quicksort the said list becomes:
[1.1, -1.1, -1, 0, 0.1, 1]

Original list:
['z', 'a', 'y', 'b', 'x', 'c']
After applying Multi-key quicksort the said list becomes:
['a', 'b', 'c', 'x', 'y', 'z']

Original list:
['z', 'a', 'y', 'b', 'x', 'c']
After applying Multi-key quicksort the said list becomes:
['z', 'a', 'b', 'c', 'x', 'y']

Flowchart:

Flowchart: Python Data Structures and Algorithms: Sort unsorted numbers using Multi-key quicksort.

Python Code Editor:

Contribute your code and comments through Disqus.

Previous: Write a Python program to sort unsorted numbers using Random Pivot Quick Sort. Picks the random index as the pivot.
Next: Write a Python program to sort unsorted numbers using Pigeonhole sorting.

What is the difficulty level of this exercise?

Test your Programming skills with w3resource's quiz.



Become a Patron!

Follow us on Facebook and Twitter for latest update.

It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.

https://198.211.115.131/python-exercises/data-structures-and-algorithms/python-search-and-sorting-exercise-32.php