Given an array of integers which is non sorted, find k th smallest element in that array.For example: if input array is A = [3,5,1,2,6,9,7], 4 th smallest element in array A is 5, because if you sort the array A, it looks like A = [1,2,3,5,6,7,9] and now you can easily see that 4 th element is 5.

Msk soap noteThe following example uses Pythons heapq package to merge a two sorted sequences with little overhead:4 [adt/heap/merge_sorted_seqs.py] import heapq. def merge_sorted_seqs(seq1, seq2): result = [] for c in heapq.merge(seq1, seq2): result.append(c) return result. def test_merge_sorted_seq(module_name=this module):

Implementation of Heaps. Uses of Priority Queues. Heaps as Lists in the Python heapq Module. Basic Operations. A High-Level Operation. As you saw above, heaps are good for incrementally merging sorted sequences. Two applications for heaps that you've already considered are scheduling periodic...