The provided code defines a class `Solution` with a method...

The provided code defines a class Solution with a method findKthLargest that utilizes the heapq module to find the k-th largest element in a list of integers.

Code Explanation:

1. Imports heapq: The heapq library in Python provides heap queue functionality and is often used for efficient priority queue operations or for finding the largest or smallest elements in a collection.

2. findKthLargest Method:

   • The method takes two inputs:
     • nums: A list of integers.
     • k: An integer indicating which largest element to find (e.g., the 2nd largest, 3rd largest, etc.).
   • The method calls heapq.nlargest(k, nums). This function returns the k largest elements from the nums list in descending order of size.
   • By accessing the last element of the result (via [-1]), the code extracts the k-th largest element from nums.

3. Input/Output:

   • Example Input: nums = [3, 2, 1, 5, 6, 4], k = 2.
   • Output: The second largest element in the list, which is 5.

Detailed Steps for the Example:

• nums = [3, 2, 1, 5, 6, 4], k = 2.
• heapq.nlargest(2, nums) sorts the 2 largest elements in descending order, resulting in [6, 5].
• Accessing the last element from [6, 5] with [-1] gives 5.

Final Output:

• The program prints 5.

Summary: This code finds and returns the k-th largest element in the input list using a heap-based approach for efficient computation.