Python Coding challenge - Day 530| What is the output of the following Python Code?

 

Code Explanation:

 1. Importing the heapq Module

import heapq

The heapq module provides functions for implementing heaps (priority queues) in Python.

Here, we’ll use its heapq.merge function, which efficiently merges multiple sorted inputs into a single sorted output (like merge in merge sort).

2. Defining the Function merge_k_sorted

def merge_k_sorted(lists):

This defines a function named merge_k_sorted.

It accepts a single parameter lists, which is expected to be a list of sorted lists (e.g., [[1, 4, 7], [2, 5, 8], [0, 6, 9]]).

3. Merging the Sorted Lists Using heapq.merge

    return list(heapq.merge(*lists))

*lists unpacks the list of lists into separate arguments, so heapq.merge(*lists) becomes like heapq.merge([1,4,7], [2,5,8], [0,6,9]).

heapq.merge() merges these sorted iterables into a single sorted iterator.

Wrapping it with list() converts the iterator into a list.

The merged and sorted result is returned.

4. Calling the Function and Printing the Result

print(merge_k_sorted([[1, 4, 7], [2, 5, 8], [0, 6, 9]]))

This line calls the merge_k_sorted function with a sample input of three sorted lists.

The merged result is printed.

Final Output

[0, 1, 2, 4, 5, 6, 7, 8, 9]

All elements from the input lists are merged in ascending order.

Download Books : 500 Days Python Coding Challenges with Explanation